[["2020-08-01-azure-functions-v3-dotnet-core","Azure Functions v3 on .NET Core 3.1: The Setup I Actually Use",20200801,3],["2020-08-02-cosmos-db-sdk-v3","Moving to the Azure Cosmos DB .NET SDK v3: Patterns I Keep",20200802,1],["2020-08-03-power-bi-embedded-analytics","Power BI Embedded for Customers: App-Owns-Data with a Service Principal",20200803,1],["2020-08-04-azure-devops-multi-stage-pipelines","Multi-Stage YAML Pipelines in Azure DevOps: A Starting Skeleton",20200804,3],["2020-08-05-azure-cognitive-services-text-analytics","Mining Customer Feedback with Azure Text Analytics v3",20200805,0],["2020-08-06-aks-deployment-strategies","Rolling, Blue-Green and Canary Deployments on AKS",20200806,3],["2020-08-07-power-automate-http-connector","Power Automate's HTTP Action: Auth, Retries, Paging and Licensing",20200807,2],["2020-08-08-azure-blob-storage-lifecycle","Azure Blob Lifecycle Policies: Tiering and Deletion Without Surprises",20200808,1],["2020-08-09-teams-bot-development","Building a Microsoft Teams Bot with Bot Framework v4 and .NET Core",20200809,2],["2020-08-10-azure-sql-elastic-pools","Azure SQL Elastic Pools: When Pooling Saves Money and When It Doesn't",20200810,1],["2020-08-11-azure-application-insights-monitoring","Application Insights for ASP.NET Core: Telemetry Worth Paying For",20200811,3],["2020-08-12-azure-key-vault-dotnet","Key Vault in ASP.NET Core 3.1 with Azure.Identity and Managed Identity",20200812,3],["2020-08-13-azure-service-bus-messaging","Replacing a Fragile HTTP Call with an Azure Service Bus Queue",20200813,3],["2020-08-14-power-apps-model-driven","Model-Driven Apps on Common Data Service: Where the Logic Goes",20200814,1],["2020-08-15-azure-data-factory-pipelines","Azure Data Factory: Designing a First Pipeline You Can Safely Rerun",20200815,1],["2020-08-16-remote-work-azure-virtual-desktop","Windows Virtual Desktop for Remote Work: Building It Properly",20200816,3],["2020-08-17-azure-form-recognizer","Form Recognizer v2.0 in .NET: Receipts, Layout and Custom Models",20200817,0],["2020-08-18-dotnet-core-grpc-services","gRPC on .NET Core 3.1: Contracts, Streaming and Where It Fits",20200818,1],["2020-08-19-azure-event-grid-integration","Azure Event Grid as Reactive Glue: Delivery, Retries and Dead-Letters",20200819,3],["2020-08-20-azure-cognitive-search-basics","Designing an Azure Cognitive Search Index with the v11 .NET SDK",20200820,0],["2020-08-21-azure-logic-apps-b2b","EDI and AS2 Trading Partners with Logic Apps Integration Accounts",20200821,2],["2020-08-22-azure-container-registry","ACR Tasks: Build and Patch Container Images Inside the Registry",20200822,3],["2020-08-23-azure-synapse-analytics-intro","Azure Synapse Analytics in Preview: What's GA and Where to Start",20200823,1],["2020-08-24-azure-bot-service-qna-maker","QnA Maker FAQ Bots: Confidence Scores, Follow-ups and Handoff",20200824,0],["2020-08-25-azure-functions-durable-orchestrations","Durable Functions Orchestrators: Replay, Determinism and Compensation",20200825,3],["2020-08-26-writing-again","I'm Going to Start Writing Again",20200826,5],["2020-08-27-setting-up-azure-static-web-apps","Hosting My Hugo Blog on Azure Static Web Apps While It's in Preview",20200827,3],["2020-08-28-azure-functions-durable-entities","Durable Entities as Inventory Counters: Signals, Calls and Limits",20200828,3],["2020-08-29-cosmos-db-change-feed-patterns","Cosmos DB Change Feed: Functions Trigger or Change Feed Processor?",20200829,1],["2020-08-30-power-automate-custom-connectors","Power Automate Custom Connectors: Design the OpenAPI File First",20200830,2],["2020-08-31-azure-data-explorer-basics","Azure Data Explorer or Log Analytics? Choosing Where Logs Live",20200831,1],["2020-09-01-azure-cognitive-search-indexers","Azure Cognitive Search Indexers for Document Processing",20200901,0],["2020-09-02-terraform-azure-provider-basics","Terraform Azure Provider: Infrastructure as Code Basics",20200902,3],["2020-09-03-azure-devops-yaml-pipelines","Azure DevOps YAML Pipelines for Data Projects",20200903,1],["2020-09-04-databricks-delta-lake-intro","Introduction to Delta Lake on Azure Databricks",20200904,1],["2020-09-05-azure-event-hubs-kafka-api","Azure Event Hubs with Kafka API",20200905,1],["2020-09-06-power-bi-dataflows","Power BI Dataflows: Self-Service ETL",20200906,1],["2020-09-07-azure-machine-learning-designer","Azure Machine Learning Designer for No-Code ML",20200907,0],["2020-09-08-azure-logic-apps-enterprise-integration","Azure Logic Apps for Enterprise Integration",20200908,2],["2020-09-09-azure-cache-for-redis-enterprise","Azure Cache for Redis Enterprise: High Performance Caching",20200909,3],["2020-09-09-5-years-of-being-a-microsoft-mvp","5 Years of being a Microsoft MVP!",20200909,5],["2020-09-10-azure-sql-managed-instance","Azure SQL Managed Instance: SQL Server in the Cloud",20200910,1],["2020-09-11-azure-api-management","Azure API Management: API Gateway Patterns",20200911,3],["2020-09-12-azure-container-instances","Azure Container Instances: Serverless Containers",20200912,3],["2020-09-13-azure-key-vault-secrets-management","Azure Key Vault: Secrets Management Best Practices",20200913,3],["2020-09-14-azure-private-link","Azure Private Link: Secure Access to PaaS Services",20200914,3],["2020-09-15-azure-monitor-alerts","Azure Monitor Alerts and Action Groups",20200915,3],["2020-09-16-azure-bastion-secure-vm-access","Azure Bastion: Secure VM Access Without Public IPs",20200916,3],["2020-09-17-azure-data-factory-triggers","Azure Data Factory Triggers: Scheduling and Event-Driven Pipelines",20200917,1],["2020-09-18-azure-front-door-global-loadbalancing","Azure Front Door: Global Load Balancing and CDN",20200918,3],["2020-09-19-databricks-mlflow-tracking","MLflow on Azure Databricks: Experiment Tracking",20200919,0],["2020-09-20-azure-service-bus-queues-topics","Azure Service Bus: Queues and Topics Patterns",20200920,3],["2020-09-21-azure-sql-elastic-pools","Azure SQL Elastic Pools: Cost-Effective Multi-Tenancy",20200921,1],["2020-09-22-azure-cosmos-db-consistency-levels","Azure Cosmos DB Consistency Levels Explained",20200922,1],["2020-09-23-azure-application-gateway","Azure Application Gateway: Layer 7 Load Balancing",20200923,3],["2020-09-24-azure-automation-runbooks","Azure Automation Runbooks for Cloud Operations",20200924,3],["2020-09-25-power-bi-row-level-security","Power BI Row-Level Security: Data Access Control",20200925,1],["2020-09-26-azure-blob-storage-lifecycle","Azure Blob Storage Lifecycle Management",20200926,3],["2020-09-27-azure-functions-python","Azure Functions with Python: Getting Started",20200927,3],["2020-09-28-synology-nas-series-cloud-sync-with-azure-storage","Synology NAS Series – Cloud Sync with Azure Storage",20200928,3],["2020-09-28-azure-synapse-link-cosmos","Azure Synapse Link for Cosmos DB: Real-Time Analytics",20200928,1],["2020-09-29-azure-stream-analytics","Azure Stream Analytics: Real-Time Data Processing",20200929,1],["2020-09-30-azure-data-lake-storage-gen2","Azure Data Lake Storage Gen2: Foundation of Modern Data Platforms",20200930,1],["2020-10-01-azure-synapse-spark-pools","Azure Synapse Spark Pools (Preview): Big Data Processing",20201001,1],["2020-10-02-azure-synapse-serverless-sql","Azure Synapse Serverless SQL (Preview): Query Your Data Lake",20201002,1],["2020-10-03-azure-policy-governance","Azure Policy: Governance at Scale",20201003,3],["2020-10-04-azure-blueprints-environment-templates","Azure Blueprints: Repeatable Environment Templates",20201004,3],["2020-10-05-azure-resource-graph","Azure Resource Graph: Query All Your Azure Resources",20201005,1],["2020-10-06-power-platform-dataverse","Microsoft Dataverse: The Power Platform Database",20201006,1],["2020-10-07-azure-cognitive-services-overview","Azure Cognitive Services: AI APIs for Every Developer",20201007,0],["2020-10-08-azure-kubernetes-service-basics","Azure Kubernetes Service: Managed Kubernetes",20201008,3],["2020-10-09-azure-active-directory-b2c","Azure AD B2C: Customer Identity Management",20201009,3],["2020-10-10-github-actions-azure-deploy","GitHub Actions for Azure Deployments",20201010,3],["2020-10-11-azure-functions-durable-orchestrations","Azure Durable Functions: Orchestration Patterns",20201011,3],["2020-10-12-azure-cosmos-db-partitioning","Azure Cosmos DB Partitioning Strategies",20201012,1],["2020-10-13-azure-virtual-network-peering","Azure Virtual Network Peering: Connect VNets Seamlessly",20201013,3],["2020-10-14-power-bi-incremental-refresh","Power BI Incremental Refresh: Handle Large Datasets",20201014,1],["2020-10-15-ignite-2020-azure-gpt3-partnership","Microsoft Ignite 2020: Azure, GPT-3, and the Future of AI",20201015,0],["2020-10-16-azure-sql-security-features","Azure SQL Security Features: Protect Your Data",20201016,1],["2020-10-17-azure-event-grid-fundamentals","Azure Event Grid: Event-Driven Architecture Made Simple",20201017,3],["2020-10-18-databricks-structured-streaming","Databricks Structured Streaming: Real-Time Data Processing",20201018,1],["2020-10-19-azure-logic-apps-connectors","Azure Logic Apps: Connectors for Everything",20201019,2],["2020-10-20-azure-functions-bindings","Azure Functions Input/Output Bindings: Declarative Data Access",20201020,1],["2020-10-21-azure-devops-pipelines-templates","Azure DevOps Pipeline Templates: Reusable CI/CD",20201021,3],["2020-10-22-azure-monitor-application-insights","Application Insights: Full-Stack Application Monitoring",20201022,3],["2020-10-23-azure-data-factory-linked-services","Azure Data Factory Linked Services: Connect Everything",20201023,1],["2020-10-24-azure-redis-cache-patterns","Azure Cache for Redis: Caching Patterns",20201024,3],["2020-10-25-azure-synapse-dedicated-sql-pools","Azure Synapse Dedicated SQL Pools (Preview): Enterprise Data Warehousing",20201025,1],["2020-10-26-azure-bot-service-basics","Azure Bot Service: Build Conversational AI",20201026,0],["2020-10-27-azure-static-web-apps-functions","Azure Functions HTTP APIs: Building Serverless Backends",20201027,3],["2020-10-28-azure-form-recognizer","Azure Form Recognizer: Extract Data from Documents",20201028,0],["2020-10-29-azure-container-registry","Azure Container Registry: Private Docker Registry",20201029,3],["2020-10-30-power-apps-model-driven-apps","Power Apps Model-Driven Apps: Data-First Design",20201030,1],["2020-10-31-azure-purview-data-governance","Azure Purview (Preview): Unified Data Governance",20201031,1],["2020-11-01-azure-digital-twins","Azure Digital Twins: Model the Physical World",20201101,3],["2020-11-02-azure-functions-premium-plan","Azure Functions Premium Plan: Enterprise Serverless",20201102,3],["2020-11-03-azure-databricks-jobs","Azure Databricks Jobs: Scheduled and Triggered Workflows",20201103,1],["2020-11-04-azure-signalr-service","Azure SignalR Service: Real-Time Web at Scale",20201104,3],["2020-11-05-azure-data-box","Azure Data Box: Physical Data Transfer at Scale",20201105,1],["2020-11-06-azure-functions-dependency-injection","Azure Functions Dependency Injection: Clean Architecture",20201106,3],["2020-11-07-azure-cost-management","Azure Cost Management: Control Cloud Spending",20201107,3],["2020-11-08-azure-defender-security-center","Azure Defender: Cloud Security Posture Management",20201108,3],["2020-11-09-azure-time-series-insights","Azure Time Series Insights: IoT Analytics at Scale",20201109,1],["2020-11-10-azure-service-fabric","Azure Service Fabric: Microservices Platform",20201110,1],["2020-11-11-azure-ml-automated-ml","Azure Automated ML: Machine Learning for Everyone",20201111,0],["2020-11-12-azure-arc-hybrid-cloud","Azure Arc: Manage Resources Anywhere",20201112,3],["2020-11-13-power-automate-expressions","Power Automate Expressions: Dynamic Flow Logic",20201113,2],["2020-11-14-azure-cognitive-search-skills","Azure Cognitive Search: AI-Powered Skillsets",20201114,0],["2020-11-15-azure-api-management-policies","Azure API Management: Policy Deep Dive",20201115,3],["2020-11-16-databricks-delta-live-tables","Databricks Delta Lake: Advanced Patterns",20201116,1],["2020-11-16-databricks-delta-lake-intro","Getting Started with Delta Lake on Azure Databricks",20201116,1],["2020-11-17-azure-load-testing","Load Testing Azure Applications with Apache JMeter",20201117,3],["2020-11-18-azure-private-dns-zones","Azure Private DNS Zones: Name Resolution in VNets",20201118,3],["2020-11-19-azure-sentinel-siem","Azure Sentinel: Cloud-Native SIEM",20201119,3],["2020-11-20-azure-data-factory-data-flows","Azure Data Factory Data Flows: Visual ETL",20201120,1],["2020-11-21-azure-sql-hyperscale","Azure SQL Hyperscale: Massive Scale SQL",20201121,1],["2020-11-22-azure-iot-edge","Azure IoT Edge: Intelligence at the Edge",20201122,0],["2020-11-23-power-bi-embedded","Power BI Embedded: Analytics in Your Applications",20201123,1],["2020-11-24-azure-maps","Azure Maps: Location Intelligence Platform",20201124,3],["2020-11-25-azure-traffic-manager","Azure Traffic Manager: Global DNS Load Balancing",20201125,3],["2020-11-26-azure-devtest-labs","Azure DevTest Labs: Managed Development Environments",20201126,3],["2020-11-27-azure-expressroute","Azure ExpressRoute: Private Connectivity to Azure",20201127,3],["2020-11-28-azure-logic-apps-standard","Azure Logic Apps: Enterprise Integration Patterns",20201128,2],["2020-11-29-azure-backup","Azure Backup: Protect Your Data",20201129,1],["2020-11-30-azure-devops-test-plans","Azure DevOps Test Plans: Quality Assurance at Scale",20201130,3],["2020-12-01-azure-site-recovery","Azure Site Recovery: Disaster Recovery as a Service",20201201,3],["2020-12-02-azure-batch","Azure Batch: Large-Scale Parallel Computing",20201202,3],["2020-12-03-azure-front-door-waf","Azure Front Door WAF: Web Application Firewall",20201203,3],["2020-12-04-azure-cognitive-services-containers","Azure Cognitive Services Containers: AI On-Premises",20201204,0],["2020-12-05-azure-synapse-analytics-ga","Azure Synapse Analytics is Now Generally Available",20201205,1],["2020-12-06-azure-confidential-computing","Azure Confidential Computing: Encrypt Data in Use",20201206,1],["2020-12-07-azure-machine-learning-pipelines","Azure Machine Learning Pipelines: MLOps Workflows",20201207,0],["2020-12-08-azure-virtual-wan","Azure Virtual WAN: Enterprise-Scale Networking",20201208,3],["2020-12-09-azure-firewall-premium","Azure Firewall: Network Security Fundamentals",20201209,3],["2020-12-10-azure-managed-grafana","Azure Monitor Workbooks: Custom Visualizations",20201210,3],["2020-12-11-azure-functions-custom-handlers","Azure Functions Custom Handlers: Any Language",20201211,3],["2020-12-12-azure-video-indexer","Azure Video Indexer: AI-Powered Video Analysis",20201212,0],["2020-12-13-azure-app-configuration","Azure App Configuration: Centralized Settings Management",20201213,3],["2020-12-14-azure-cosmos-db-serverless","Azure Cosmos DB Serverless: Pay-Per-Request NoSQL",20201214,1],["2020-12-15-azure-spring-cloud","Azure Spring Cloud: Managed Spring Boot Platform",20201215,3],["2020-12-16-azure-notification-hubs","Azure Notification Hubs: Push Notifications at Scale",20201216,3],["2020-12-17-azure-media-services","Azure Media Services: Video Streaming Platform",20201217,1],["2020-12-18-azure-netapp-files","Azure NetApp Files: Enterprise File Storage",20201218,3],["2020-12-19-azure-automation-desired-state","Azure Automation DSC: Desired State Configuration",20201219,3],["2020-12-20-azure-communication-services","Azure Communication Services: Voice, Video, Chat, SMS",20201220,3],["2020-12-21-azure-bastion-secure-access","Azure Bastion: Secure VM Access Without Public IPs",20201221,3],["2020-12-22-azure-ddos-protection","Azure DDoS Protection: Defend Against Attacks",20201222,3],["2020-12-23-azure-migrate","Azure Migrate: Cloud Migration Made Simple",20201223,3],["2020-12-24-azure-lighthouse","Azure Lighthouse: Multi-Tenant Management",20201224,3],["2020-12-25-azure-iot-central","Azure IoT Central: Managed IoT Platform",20201225,3],["2020-12-26-azure-cognitive-services-luis","Azure LUIS: Language Understanding for Bots",20201226,0],["2020-12-27-azure-application-gateway-v2","Azure Application Gateway v2: Advanced Load Balancing",20201227,3],["2020-12-28-azure-log-analytics-workspace","Azure Log Analytics: Central Logging Platform",20201228,1],["2020-12-29-azure-databricks-workspace","Azure Databricks Workspace Management",20201229,1],["2020-12-30-azure-storage-account-security","Azure Storage Account Security Best Practices",20201230,3],["2020-12-31-azure-year-in-review-2020","Azure Year in Review: 2020 Highlights",20201231,3],["2021-01-01-azure-2021-predictions","Azure in 2021: Where I'd Place My Bets This Year",20210101,1],["2021-01-02-azure-sql-database-ledger","Tamper-Evident Audit Trails in Azure SQL Database",20210102,1],["2021-01-03-azure-functions-isolated-process","Azure Functions on .NET 5: A First Look at the Isolated Worker Preview",20210103,3],["2021-01-04-my-only-goal-for-2021-digital-intentionality","My Only Goal for 2021: Digital Intentionality, Not Minimalism",20210104,5],["2021-01-04-azure-synapse-serverless-sql","Synapse Serverless SQL After GA: Designing a Lake Query Layer",20210104,1],["2021-01-05-digital-intentionalization-dont-click-that-next-button","Digital Intentionality: Don't Click That Next Button",20210105,5],["2021-01-05-azure-bicep-intro","Azure Bicep v0.2: Learn It Now, Hold Off on Production",20210105,3],["2021-01-06-why-its-okay-to-be-an-ordinary-developer","Why It's Okay to Be an Ordinary Developer",20210106,5],["2021-01-06-azure-container-apps-preview","AKS, ACI or App Service? Choosing an Azure Container Platform",20210106,3],["2021-01-07-azure-ml-responsible-ai","Explain and Fairness-Check an Azure ML Model Before You Ship It",20210107,0],["2021-01-07-ai-across-the-microsoft-cloud","AI Across the Microsoft Cloud: Choosing the Right Layer in 2021",20210107,0],["2021-01-08-you-should-read-books-you-know-you-should","From Non-Reader to ~100 Books: How I Built a Reading Habit",20210108,5],["2021-01-08-azure-databricks-sql-analytics","Databricks SQL Analytics in Preview: What to Test Before You Commit",20210108,1],["2021-01-09-azure-cosmos-db-serverless","Cosmos DB Serverless vs Provisioned: Working Out the Break-Even",20210109,1],["2021-01-10-azure-logic-apps-standard","Azure Logic Apps Preview: What the Redesigned Runtime Changes",20210110,2],["2021-01-11-azure-event-grid-custom-topics","Designing Domain Events for Azure Event Grid Custom Topics",20210111,3],["2021-01-12-azure-service-bus-advanced","Service Bus Sessions, Transactions and DLQs in the New .NET SDK",20210112,3],["2021-01-13-power-bi-incremental-refresh","Power BI Incremental Refresh in Production: Folding, Partitions, XMLA",20210113,1],["2021-01-14-how-to-beat-procrastination","Five Ways I Get Unstuck When Procrastination Wins",20210114,5],["2021-01-14-azure-data-explorer-kusto","Azure Data Explorer for IoT Telemetry: Ingestion, Caching and Rollups",20210114,1],["2021-01-15-azure-purview-data-governance","Azure Purview Preview: Decisions to Make Before You Scan Everything",20210115,1],["2021-01-16-azure-static-web-apps-custom-authentication","Azure Static Web Apps Preview Auth: Roles, Invites and Limits",20210116,3],["2021-01-17-azure-communication-services-video-calling","ACS Video Calling in Preview: Tokens, Calls and Rendering",20210117,3],["2021-01-18-azure-form-recognizer-document-processing","Form Recognizer Invoices in Production: Confidence Gates and Review",20210118,0],["2021-01-19-azure-arc-kubernetes-multicloud","Azure Arc for Kubernetes: One GitOps Baseline Across Every Cloud",20210119,3],["2021-01-20-databricks-delta-live-tables-concepts","Wiring a Medallion Pipeline on Azure Databricks with Auto Loader",20210120,1],["2021-01-21-azure-monitor-workbooks-dashboards","Azure Monitor Workbooks as an Incident Triage Tool, Not a Wallboard",20210121,1],["2021-01-22-azure-advisor-cost-optimization","Triaging Azure Advisor Cost Recommendations Before You Act",20210122,3],["2021-01-23-power-automate-desktop-rpa","Power Automate Desktop at GA: Designing RPA Flows That Survive",20210123,2],["2021-01-24-azure-api-management-policies","APIM Policies in Production: Limits, Fan-out and Fallbacks",20210124,3],["2021-01-25-azure-key-vault-advanced-patterns","Key Vault Beyond the Basics: RBAC, Soft-Delete and Expiry Events",20210125,3],["2021-01-26-cosmosdb-change-feed-patterns","Cosmos DB Change Feed in Production: Failures, Leases and Lag",20210126,1],["2021-01-27-why-you-should-experience-being-self-employed","Why You Should Try Being Self-Employed at Least Once",20210127,5],["2021-01-27-azure-cognitive-search-advanced","Relevance Tuning in Azure Cognitive Search: Analyzers to Scoring",20210127,0],["2021-01-28-synapse-link-cosmos-db","Synapse Link for Cosmos DB: Is It Time to Retire the Nightly ETL?",20210128,1],["2021-01-29-azure-backup-best-practices","Hardening Azure Backup: Vault Decisions, Policy and Restore Drills",20210129,3],["2021-01-30-azure-site-recovery-dr","Automating Azure Site Recovery DR Drills with Recovery Plans",20210130,3],["2021-01-31-azure-traffic-manager-patterns","Traffic Manager Failover Engineering: TTLs, Probes and Nesting",20210131,3],["2021-02-01-azure-spring-cloud-getting-started","Getting Started with Azure Spring Cloud for Java Microservices",20210201,3],["2021-02-02-azure-postgresql-flexible-server","Azure Database for PostgreSQL Flexible Server - A Deep Dive",20210202,1],["2021-02-03-azure-cognitive-services-personalizer","Building Personalized Experiences with Azure Cognitive Services Personalizer",20210203,0],["2021-02-04-power-bi-dataflows-best-practices","Power BI Dataflows - Best Practices for Enterprise Data Preparation",20210204,1],["2021-02-05-azure-defender-for-cloud","Securing Your Cloud Infrastructure with Azure Defender for Cloud",20210205,3],["2021-02-06-azure-policy-compliance","Enforcing Cloud Governance with Azure Policy",20210206,3],["2021-02-07-azure-blueprints-environment-governance","Environment Governance with Azure Blueprints",20210207,3],["2021-02-08-databricks-mlflow-integration","MLflow Integration with Azure Databricks for MLOps",20210208,0],["2021-02-09-azure-front-door-rules-engine","Advanced Traffic Management with Azure Front Door Rules Engine",20210209,3],["2021-02-10-azure-private-link-security","Securing Azure Services with Private Link",20210210,3],["2021-02-11-azure-bastion-secure-access","Secure VM Access with Azure Bastion",20210211,3],["2021-02-12-azure-virtual-wan","Enterprise Network Architecture with Azure Virtual WAN",20210212,3],["2021-02-13-azure-firewall-manager","Centralized Security Management with Azure Firewall Manager",20210213,3],["2021-02-14-data-factory-mapping-data-flows","Data Transformation with Azure Data Factory Mapping Data Flows",20210214,1],["2021-02-15-synapse-spark-pools","Big Data Processing with Azure Synapse Spark Pools",20210215,1],["2021-02-16-azure-hdinsight-overview","Enterprise Big Data Analytics with Azure HDInsight",20210216,1],["2021-02-17-azure-ml-pipelines","Building ML Workflows with Azure Machine Learning Pipelines",20210217,0],["2021-02-18-azure-batch-processing","Scalable Compute with Azure Batch",20210218,3],["2021-02-19-azure-container-registry","Container Management with Azure Container Registry",20210219,3],["2021-02-20-github-actions-azure","CI/CD to Azure with GitHub Actions",20210220,3],["2021-02-21-arm-templates-best-practices","Azure Resource Manager Templates Best Practices",20210221,3],["2021-02-22-why-i-dont-read-or-watch-mainstream-media-that-much","Why I don’t read or watch mainstream media that much",20210222,5],["2021-02-22-azure-monitor-alerts","Proactive Monitoring with Azure Monitor Alerts",20210222,3],["2021-02-23-log-analytics-queries","Mastering Log Analytics Queries with KQL",20210223,1],["2021-02-24-application-insights-deep-dive","Deep Dive into Application Insights",20210224,3],["2021-02-25-azure-cost-management","Optimizing Cloud Spend with Azure Cost Management",20210225,3],["2021-02-26-the-3-types-of-blockchain-and-cryptocurrencies-people-ive-met","The 3 Types of Blockchain and Cryptocurrencies people I’ve met",20210226,4],["2021-02-26-azure-reservations","Maximizing Savings with Azure Reservations",20210226,3],["2021-02-27-azure-hybrid-benefit","Maximizing Value with Azure Hybrid Benefit",20210227,3],["2021-02-28-azure-arc-hybrid-management","Extending Azure Management with Azure Arc",20210228,3],["2021-03-01-azure-kubernetes-service-networking","Azure Kubernetes Service Networking Deep Dive",20210301,3],["2021-03-02-aks-windows-containers","Running Windows Containers on Azure Kubernetes Service",20210302,3],["2021-03-03-azure-container-instances-serverless","Azure Container Instances for Serverless Container Workloads",20210303,3],["2021-03-04-azure-app-configuration","Centralized Configuration Management with Azure App Configuration",20210304,3],["2021-03-05-azure-signalr-service","Real-Time Web Applications with Azure SignalR Service",20210305,3],["2021-03-06-azure-web-pubsub","Building Real-Time Applications with Azure SignalR Service",20210306,3],["2021-03-07-cosmos-db-serverless","Azure Cosmos DB Serverless - Pay Per Request Database",20210307,1],["2021-03-08-cosmos-db-analytical-store","Real-Time Analytics with Cosmos DB Analytical Store",20210308,1],["2021-03-09-azure-synapse-dedicated-sql-pools","Azure Synapse Dedicated SQL Pools for Enterprise Data Warehousing",20210309,1],["2021-03-10-synapse-data-flows","Visual ETL with Azure Synapse Data Flows",20210310,1],["2021-03-11-power-bi-premium-per-user","Power BI Premium Per User - Enterprise Features for Everyone",20210311,1],["2021-03-12-power-bi-paginated-reports","Power BI Paginated Reports for Operational Reporting",20210312,1],["2021-03-13-azure-analysis-services","Azure Analysis Services for Enterprise Semantic Models",20210313,1],["2021-03-14-how-to-disable-auto-locking-of-macos-keychains","How to disable auto-locking of MacOS Keychains",20210314,5],["2021-03-14-azure-databricks-unity-catalog","Azure Databricks Workspace Management and Data Governance Best Practices",20210314,1],["2021-03-15-delta-lake-time-travel","Delta Lake Time Travel - Versioned Data Lake Queries",20210315,1],["2021-03-16-spark-structured-streaming","Real-Time Data Processing with Spark Structured Streaming",20210316,1],["2021-03-17-azure-stream-analytics","Azure Stream Analytics for Real-Time Data Processing",20210317,1],["2021-03-18-event-hubs-kafka","Using Azure Event Hubs with Kafka Protocol",20210318,1],["2021-03-19-iot-hub-device-twins","Azure IoT Hub Device Twins for State Management",20210319,3],["2021-03-20-azure-digital-twins","Azure Digital Twins for Smart Environment Modeling",20210320,3],["2021-03-21-azure-sphere","Azure Sphere for Secured IoT Device Development",20210321,3],["2021-03-22-azure-rtos","Azure RTOS for Real-Time IoT Applications",20210322,3],["2021-03-23-cognitive-services-speech","Azure Cognitive Services Speech - Voice-Enabled Applications",20210323,0],["2021-03-24-azure-bot-service","Building Intelligent Bots with Azure Bot Service",20210324,0],["2021-03-25-qna-maker","Building FAQ Bots with QnA Maker",20210325,0],["2021-03-26-luis-language-understanding","Natural Language Understanding with LUIS",20210326,0],["2021-03-27-azure-translator","Multilingual Applications with Azure Translator",20210327,0],["2021-03-28-computer-vision","Image Analysis with Azure Computer Vision",20210328,0],["2021-03-29-custom-vision","Building Custom Image Classifiers with Custom Vision",20210329,0],["2021-03-30-form-recognizer","Intelligent Document Processing with Azure Form Recognizer",20210330,0],["2021-03-31-azure-anomaly-detector","Time Series Anomaly Detection with Azure Anomaly Detector",20210331,0],["2021-04-01-azure-durable-functions-orchestration-patterns","Azure Durable Functions Orchestration Patterns",20210401,3],["2021-04-02-azure-durable-entities-stateful-actors","Azure Durable Entities - Stateful Actors in Serverless",20210402,3],["2021-04-03-logic-apps-connectors-deep-dive","Logic Apps Connectors - A Deep Dive into Enterprise Integration",20210403,2],["2021-04-04-power-automate-cloud-flows-automation","Power Automate Cloud Flows - Building Intelligent Automation",20210404,2],["2021-04-05-dataverse-tables-data-modeling","Dataverse Tables - Data Modeling for the Power Platform",20210405,1],["2021-04-06-power-apps-canvas-apps-building-mobile-experiences","Power Apps Canvas Apps - Building Mobile-First Experiences",20210406,2],["2021-04-07-power-apps-model-driven-apps-enterprise-solutions","Power Apps Model-Driven Apps - Building Enterprise Solutions",20210407,2],["2021-04-08-power-virtual-agents-conversational-ai","Power Virtual Agents - Building Conversational AI Without Code",20210408,0],["2021-04-09-azure-cognitive-search-custom-skills","Azure Cognitive Search Custom Skills - Building Intelligent Search Pipelines",20210409,0],["2021-04-10-azure-search-indexers-data-ingestion","Azure Search Indexers - Automated Data Ingestion Strategies",20210410,0],["2021-04-11-blob-storage-indexing-cognitive-search","Blob Storage Indexing with Azure Cognitive Search",20210411,0],["2021-04-12-sql-database-indexing-azure-search","SQL Database Indexing with Azure Cognitive Search",20210412,0],["2021-04-13-azure-data-lake-storage-gen2-fundamentals","Azure Data Lake Storage Gen2 - Building Modern Data Lakes",20210413,1],["2021-04-14-adls-gen2-access-control-acls","ADLS Gen2 Access Control with ACLs - Fine-Grained Security",20210414,1],["2021-04-15-azure-data-factory-triggers-orchestration","Azure Data Factory Triggers - Orchestrating Data Pipelines",20210415,1],["2021-04-16-adf-self-hosted-integration-runtime","ADF Self-Hosted Integration Runtime - Connecting On-Premises Data",20210416,1],["2021-04-17-synapse-pipelines-vs-azure-data-factory","Synapse Pipelines vs Azure Data Factory - Making the Right Choice",20210417,1],["2021-04-18-spark-sql-fundamentals-best-practices","Spark SQL Fundamentals and Best Practices",20210418,1],["2021-04-19-pyspark-best-practices-production","PySpark Best Practices for Production Workloads",20210419,1],["2021-04-20-databricks-notebooks-collaborative-data-science","Databricks Notebooks - Collaborative Data Science and Engineering",20210420,1],["2021-04-21-mlflow-experiment-tracking-model-management","MLflow Experiments - Tracking and Managing Machine Learning Models",20210421,0],["2021-04-22-azure-ml-automl-automated-machine-learning","Azure ML AutoML - Automated Machine Learning at Scale",20210422,0],["2021-04-23-azure-ml-designer-visual-machine-learning","Azure ML Designer - Visual Machine Learning Pipeline Development",20210423,0],["2021-04-24-responsible-ai-toolkit-azure","Responsible AI Toolkit - Building Trustworthy ML Systems on Azure",20210424,0],["2021-04-25-azure-confidential-computing-secure-enclaves","Azure Confidential Computing - Protecting Data in Use",20210425,1],["2021-04-26-azure-dedicated-host-isolated-infrastructure","Azure Dedicated Host - Running VMs on Isolated Physical Servers",20210426,3],["2021-04-27-azure-vmware-solution-hybrid-cloud","Azure VMware Solution - Running VMware Workloads in Azure",20210427,3],["2021-04-28-azure-migrate-cloud-migration-assessment","Azure Migrate - Planning and Executing Cloud Migrations",20210428,3],["2021-04-29-azure-database-migration-service-strategies","Azure Database Migration Service - Strategies for Database Modernization",20210429,1],["2021-04-30-sql-server-to-azure-sql-migration-guide","SQL Server to Azure SQL Migration - A Complete Guide",20210430,1],["2021-05-01-azure-applied-ai-services-overview","Azure Applied AI Services: Pre-Built AI for Common Scenarios",20210501,0],["2021-05-02-power-platform-governance-enterprise","Power Platform Governance for Enterprise: DLP Policies and Environments",20210502,2],["2021-05-03-microsoft-graph-data-connect","Microsoft Graph Data Connect: Bulk Access to Microsoft 365 Data",20210503,1],["2021-05-04-azure-percept-edge-ai","Azure Percept: Edge AI Development Made Accessible",20210504,0],["2021-05-05-azure-openai-service-preview","Azure Cognitive Services: Building Intelligent Applications",20210505,0],["2021-05-06-gpt3-api-exploration","Exploring the OpenAI GPT-3 API: Practical Patterns and Techniques",20210506,0],["2021-05-07-cosmos-db-integrated-cache","Cosmos DB Integrated Cache: Reducing RU Costs at Scale",20210507,1],["2021-05-08-azure-arc-data-services","Azure Arc Data Services: Azure SQL and PostgreSQL Anywhere",20210508,1],["2021-05-09-azure-sql-managed-instance-patterns","Azure SQL Managed Instance: Migration Patterns and Best Practices",20210509,1],["2021-05-10-azure-database-for-mysql","Azure Database for MySQL: Flexible Server Deep Dive",20210510,1],["2021-05-11-postgresql-hyperscale-citus","PostgreSQL Hyperscale (Citus) on Azure: Distributed Database Patterns",20210511,1],["2021-05-12-timescaledb-on-azure","TimescaleDB on Azure: Time-Series Data at Scale",20210512,1],["2021-05-13-influxdb-on-azure","InfluxDB on Azure: Deploying Time-Series Infrastructure",20210513,1],["2021-05-14-grafana-on-azure","Azure Managed Grafana: Visualization for Cloud Observability",20210514,3],["2021-05-15-prometheus-azure-monitor","Prometheus with Azure Monitor: Unified Observability",20210515,3],["2021-05-16-container-monitoring-azure","Container Monitoring on Azure: AKS Insights and Beyond",20210516,3],["2021-05-17-azure-sentinel-soar","Azure Sentinel SOAR: Automating Security Response",20210517,3],["2021-05-18-azure-security-center-defender","Azure Security Center and Microsoft Defender: Unified Cloud Security",20210518,3],["2021-05-19-microsoft-defender-for-identity","Microsoft Defender for Identity: Protecting Your Active Directory",20210519,3],["2021-05-20-azure-ad-conditional-access","Azure AD Conditional Access: Zero Trust Authentication Policies",20210520,3],["2021-05-21-azure-ad-b2c-custom-policies","Azure AD B2C Custom Policies: Advanced Identity Flows",20210521,3],["2021-05-22-azure-ad-b2b-collaboration","Azure AD B2B Collaboration: Secure Partner Access",20210522,3],["2021-05-23-microsoft-identity-platform","Microsoft Identity Platform: Modern Authentication for Developers",20210523,3],["2021-05-24-msal-libraries-deep-dive","MSAL Libraries Deep Dive: Cross-Platform Authentication",20210524,3],["2021-05-25-oauth2-flows-azure-ad","OAuth 2.0 Flows with Azure AD: Choosing the Right Flow",20210525,3],["2021-05-26-azure-key-vault-certificates","Azure Key Vault Certificates: Complete Lifecycle Management",20210526,3],["2021-05-27-azure-managed-hsm","Azure Managed HSM: FIPS 140-2 Level 3 Key Management",20210527,3],["2021-05-28-build-2021-azure-ai-power-platform","Microsoft Build 2021: GPT-3 in Power Apps and Azure AI Updates",20210528,0],["2021-05-28-azure-ddos-protection","Azure DDoS Protection: Defending Against Volumetric Attacks",20210528,3],["2021-05-29-azure-waf-policies","Azure Web Application Firewall: Custom Rules and Policies",20210529,3],["2021-05-30-azure-front-door-premium","Azure Front Door Standard/Premium: Global Application Delivery",20210530,3],["2021-05-31-azure-application-gateway-v2","Azure Application Gateway v2: Regional Load Balancing Deep Dive",20210531,3],["2021-06-01-azure-static-web-apps-custom-domains","Azure Static Web Apps Custom Domains Configuration",20210601,3],["2021-06-02-blazor-webassembly-azure-deployment","Deploying Blazor WebAssembly Applications on Azure",20210602,3],["2021-06-03-aspnet-core-azure-app-service","ASP.NET Core Best Practices on Azure App Service",20210603,3],["2021-06-04-dotnet-6-preview-features","Exploring .NET 6 Preview Features for Azure Development",20210604,3],["2021-06-05-csharp-10-preview-features","C# 10 Preview Features for Modern Development",20210605,5],["2021-06-06-azure-devops-yaml-pipelines","Mastering Azure DevOps YAML Pipelines",20210606,3],["2021-06-07-azure-pipelines-templates","Azure Pipelines Templates for Reusable CI/CD",20210607,3],["2021-06-08-github-actions-azure-workflows","GitHub Actions Workflows for Azure Deployments",20210608,3],["2021-06-09-terraform-azure-provider","Terraform Azure Provider Fundamentals",20210609,3],["2021-06-10-pulumi-azure-infrastructure","Pulumi for Azure Infrastructure as Code",20210610,3],["2021-06-11-bicep-modules-azure","Bicep Modules for Modular Azure Infrastructure",20210611,3],["2021-06-12-arm-template-specs","ARM Template Specs for Enterprise Template Management",20210612,3],["2021-06-13-azure-resource-graph","Azure Resource Graph for Cross-Subscription Queries",20210613,1],["2021-06-14-azure-management-groups","Azure Management Groups for Enterprise Hierarchy",20210614,3],["2021-06-15-azure-lighthouse","Azure Lighthouse for Multi-Tenant Management",20210615,3],["2021-06-16-multi-tenant-management-patterns","Multi-Tenant Management Patterns in Azure",20210616,3],["2021-06-17-azure-cost-management-budgets","Azure Cost Management Budgets and Alerts",20210617,3],["2021-06-18-azure-advisor-recommendations","Implementing Azure Advisor Recommendations at Scale",20210618,3],["2021-06-19-well-architected-framework","Implementing the Azure Well-Architected Framework",20210619,3],["2021-06-20-azure-architecture-center","Leveraging Azure Architecture Center Reference Architectures",20210620,3],["2021-06-21-microservices-patterns-azure","Microservices Patterns on Azure",20210621,3],["2021-06-22-cqrs-azure-implementation","CQRS Pattern Implementation with Azure Services",20210622,3],["2021-06-23-event-sourcing-patterns","Event Sourcing Patterns with Azure Cosmos DB",20210623,1],["2021-06-24-ssh-connect-to-linux-server-from-a-mac-using-socks5-proxy","SSH Connect to Linux Server from a Mac using SOCKS5 Proxy",20210624,5],["2021-06-24-saga-pattern-azure","Implementing the Saga Pattern with Azure Services",20210624,3],["2021-06-25-circuit-breaker-pattern","Circuit Breaker Pattern with Polly and Azure",20210625,3],["2021-06-26-azure-service-fabric","Azure Service Fabric for Microservices",20210626,1],["2021-06-27-dapr-azure-integration","Dapr on Azure for Cloud-Native Applications",20210627,3],["2021-06-28-azure-container-apps-concepts","Azure Container Apps Concepts and Architecture",20210628,3],["2021-06-29-kubernetes-operators-azure","Kubernetes Operators for Azure Resources",20210629,3],["2021-06-30-helm-charts-azure","Helm Charts for Azure Kubernetes Service",20210630,3],["2021-07-01-azure-synapse-spark-3","Getting Started with Apache Spark 3.0 in Azure Synapse Analytics",20210701,1],["2021-07-02-delta-lake-merge-operations","Mastering Delta Lake MERGE Operations for Upserts and SCD",20210702,1],["2021-07-03-databricks-sql-analytics-ga","Databricks SQL Analytics is Now Generally Available",20210703,1],["2021-07-04-power-bi-premium-gen2","Power BI Premium Gen2 - Enhanced Performance and New Capabilities",20210704,1],["2021-07-05-power-bi-goals","Introducing Power BI Goals for OKR and KPI Tracking",20210705,1],["2021-07-06-azure-purview-data-lineage","Understanding Data Lineage with Azure Purview",20210706,1],["2021-07-07-azure-data-share","Secure Data Sharing with Azure Data Share",20210707,1],["2021-07-08-azure-data-box","Offline Data Transfer with Azure Data Box",20210708,1],["2021-07-09-expressroute-direct","High-Bandwidth Connectivity with Azure ExpressRoute Direct",20210709,3],["2021-07-10-azure-vnet-peering","Azure Virtual Network Peering - Connecting Your Networks",20210710,3],["2021-07-11-azure-load-balancer","Azure Load Balancer - Distributing Traffic Effectively",20210711,3],["2021-07-12-azure-nat-gateway","Simplified Outbound Connectivity with Azure NAT Gateway",20210712,3],["2021-07-14-my-ultimate-windows-and-mac-setup","My Ultimate Windows and Mac Setup (2021 Edition)",20210713,5],["2021-07-13-private-dns-zones","Azure Private DNS Zones for Internal Name Resolution",20210713,3],["2021-07-14-background-processing-patterns","Background Processing Patterns in Azure",20210714,3],["2021-07-15-getting-started-with-defi","Getting Started with DeFi",20210715,4],["2021-07-15-consumption-vs-premium-functions","Consumption vs Premium Azure Functions - Making the Right Choice",20210715,3],["2021-07-16-azure-firewall-rules","Configuring Azure Firewall Rules for Enterprise Security",20210716,3],["2021-07-17-network-security-groups","Network Security Groups - Microsegmentation in Azure",20210717,3],["2021-07-18-application-security-groups","Application Security Groups for Simplified Network Security",20210718,3],["2021-07-19-azure-monitor-metrics","Deep Dive into Azure Monitor Metrics",20210719,3],["2021-07-20-azure-custom-metrics","Publishing Custom Metrics to Azure Monitor",20210720,3],["2021-07-21-message-to-the-young","Message to the young",20210721,5],["2021-07-21-diagnostic-settings","Configuring Azure Diagnostic Settings for Comprehensive Logging",20210721,3],["2021-07-22-activity-logs","Working with Azure Activity Logs for Audit and Compliance",20210722,3],["2021-07-23-resource-health","Monitoring Azure Resource Health for Proactive Operations",20210723,3],["2021-07-23-developing-macos-apps-using-net","Developing MacOS Apps using .NET",20210723,5],["2021-07-24-service-health-alerts","Configuring Azure Service Health Alerts",20210724,3],["2021-07-25-azure-automation-runbooks","Azure Automation Runbooks for Infrastructure Management",20210725,3],["2021-07-26-azure-update-management","Azure Update Management for Patch Compliance",20210726,3],["2021-07-27-azure-dsc","Azure Desired State Configuration for Configuration Management",20210727,3],["2021-07-28-azure-functions-premium","Azure Functions Premium Plan - When and Why",20210728,3],["2021-07-29-azure-webjobs","Azure WebJobs for Background Processing",20210729,3],["2021-07-30-queue-triggered-functions","Building Reliable Queue-Triggered Azure Functions",20210730,3],["2021-07-31-timer-triggers","Scheduling Tasks with Azure Functions Timer Triggers",20210731,3],["2021-08-01-azure-sql-hyperscale-introduction","Azure SQL Hyperscale: The Ultimate Database Scaling Solution",20210801,1],["2021-08-02-azure-sql-elastic-pools","Mastering Azure SQL Elastic Pools for Cost-Effective Multi-Tenant Solutions",20210802,1],["2021-08-03-sql-database-serverless","Azure SQL Database Serverless: Auto-Scaling and Auto-Pause for Variable Workloads",20210803,1],["2021-08-04-intelligent-query-processing","Intelligent Query Processing in Azure SQL: Automatic Performance Optimization",20210804,1],["2021-08-05-query-store-deep-dive","Query Store Deep Dive: Your Database's Flight Recorder",20210805,1],["2021-08-06-azure-sql-automatic-tuning","Azure SQL Automatic Tuning: Self-Healing Database Performance",20210806,0],["2021-08-07-cosmos-db-partition-strategies","Azure Cosmos DB Partition Strategies for Optimal Performance",20210807,1],["2021-08-08-cosmos-db-consistency-levels","Understanding Cosmos DB Consistency Levels: Tradeoffs and Best Practices",20210808,1],["2021-08-09-cosmos-db-global-distribution","Cosmos DB Global Distribution: Building Planet-Scale Applications",20210809,1],["2021-08-10-cosmos-db-multi-region-writes","Cosmos DB Multi-Region Writes: Active-Active Global Architecture",20210810,1],["2021-08-10-blockchain-tokens","What are these blockchain and crypto tokens?",20210810,4],["2021-08-11-cosmos-db-conflict-resolution","Implementing Conflict Resolution Policies in Cosmos DB",20210811,1],["2021-08-12-cosmos-db-ttl","Time-To-Live (TTL) in Azure Cosmos DB: Automatic Data Expiration",20210812,1],["2021-08-13-azure-cache-for-redis","Azure Cache for Redis: High-Performance Caching Strategies",20210813,3],["2021-08-14-redis-clustering","Redis Clustering in Azure: Scaling for High-Throughput Workloads",20210814,3],["2021-08-15-redis-persistence","Redis Persistence Options in Azure: RDB and AOF Explained",20210815,1],["2021-08-15-blockchain-wsl2","Using WSL2 (Windows Subsystem for Linux) for Blockchain Development",20210815,4],["2021-08-16-azure-storage-tiers","Azure Storage Tiers: Optimizing Costs with Hot, Cool, and Archive",20210816,1],["2021-08-17-blob-lifecycle-management","Azure Blob Lifecycle Management: Automating Data Tiering and Deletion",20210817,1],["2021-08-18-immutable-storage","Azure Immutable Storage: WORM Compliance for Regulatory Requirements",20210818,3],["2021-08-19-azure-files-introduction","Azure Files: Managed File Shares in the Cloud",20210819,3],["2021-08-20-azure-netapp-files","Azure NetApp Files: Enterprise-Grade File Storage for Demanding Workloads",20210820,3],["2021-08-21-azure-hpc-cache","Azure HPC Cache: Accelerating High-Performance Computing Workloads",20210821,3],["2021-08-22-azure-blob-nfs","Azure Blob NFS: Native NFS 3.0 Access to Blob Storage",20210822,3],["2021-08-23-data-lake-hierarchical-namespace","Azure Data Lake Storage Gen2: Hierarchical Namespace for Big Data Analytics",20210823,1],["2021-08-24-adf-copy-activity","Azure Data Factory Copy Activity: Moving Data at Scale",20210824,1],["2021-08-25-adf-parameterized-pipelines","Parameterized Pipelines in Azure Data Factory: Building Reusable Data Workflows",20210825,1],["2021-08-26-adf-dynamic-content","Dynamic Content in Azure Data Factory: Expressions and Functions",20210826,1],["2021-08-27-adf-lookup-activity","Azure Data Factory Lookup Activity: Retrieving Metadata for Dynamic Pipelines",20210827,1],["2021-08-28-hybrid-cloud","The Hybrid Cloud Journey with Microsoft Azure",20210828,3],["2021-08-28-adf-foreach-activity","Azure Data Factory ForEach Activity: Parallel Processing Patterns",20210828,1],["2021-08-29-adf-until-activity","Azure Data Factory Until Activity: Implementing Loops and Polling Patterns",20210829,1],["2021-08-30-adf-web-activity","Azure Data Factory Web Activity: Integrating REST APIs in Data Pipelines",20210830,1],["2021-08-31-adf-stored-procedure-activity","Azure Data Factory Stored Procedure Activity: Database Logic in Pipelines",20210831,1],["2021-09-01-azure-ml-compute-instances","Getting Started with Azure Machine Learning Compute Instances",20210901,0],["2021-09-02-azure-ml-compute-clusters","Scaling Machine Learning with Azure ML Compute Clusters",20210902,0],["2021-09-03-azure-ml-datasets","Managing Data with Azure ML Datasets",20210903,0],["2021-09-04-planning-your-week-ahead","Productive this Pandemic - Planning your week ahead",20210904,5],["2021-09-04-azure-ml-data-labeling","Data Labeling Projects in Azure Machine Learning",20210904,0],["2021-09-05-feature-stores-concepts","Understanding Feature Stores for Machine Learning",20210905,0],["2021-09-06-mlops-azure-ml","MLOps Best Practices with Azure Machine Learning",20210906,0],["2021-09-07-azure-ml-model-registry","Model Management with Azure ML Model Registry",20210907,0],["2021-09-08-azure-ml-model-deployment","Deploying Machine Learning Models with Azure ML",20210908,0],["2021-09-09-azure-managed-online-endpoints","Deep Dive into Azure ML Managed Online Endpoints",20210909,0],["2021-09-10-azure-ml-batch-endpoints","Batch Inference at Scale with Azure ML Batch Endpoints",20210910,0],["2021-09-11-cognitive-services-containers","Running Azure Cognitive Services in Containers",20210911,0],["2021-09-12-cognitive-services-iot-edge","Deploying Cognitive Services on Azure IoT Edge",20210912,0],["2021-09-13-azure-speech-to-text","Building Speech-to-Text Applications with Azure Cognitive Services",20210913,0],["2021-09-13-accountability-partner","Productive this Pandemic - Accountability Partner",20210913,5],["2021-09-14-azure-text-to-speech","Creating Natural Voice Experiences with Azure Text-to-Speech",20210914,0],["2021-09-15-azure-speaker-recognition","Implementing Speaker Recognition with Azure Cognitive Services",20210915,0],["2021-09-16-azure-language-understanding","Building Conversational AI with Azure Language Understanding (LUIS)",20210916,0],["2021-09-17-azure-text-analytics","Text Analytics with Azure Cognitive Services",20210917,0],["2021-09-18-azure-sentiment-analysis","Building Sentiment Analysis Solutions with Azure",20210918,0],["2021-09-19-azure-key-phrase-extraction","Extracting Key Phrases from Text with Azure Cognitive Services",20210919,0],["2021-09-20-azure-named-entity-recognition","Named Entity Recognition with Azure Cognitive Services",20210920,0],["2021-09-21-azure-document-translation","Document Translation at Scale with Azure Cognitive Services",20210921,0],["2021-09-22-azure-video-analyzer","Video Intelligence with Azure Video Analyzer",20210922,0],["2021-09-23-azure-live-video-analytics","Building Live Video Analytics Pipelines on Azure",20210923,0],["2021-09-24-azure-media-services","Building Media Workflows with Azure Media Services",20210924,1],["2021-09-25-azure-encoding-workflows","Designing Video Encoding Workflows in Azure",20210925,3],["2021-09-26-azure-streaming-endpoints","Configuring Azure Media Services Streaming Endpoints",20210926,1],["2021-09-27-azure-content-protection","Content Protection and DRM with Azure Media Services",20210927,3],["2021-09-28-azure-cdn","Accelerating Content Delivery with Azure CDN",20210928,3],["2021-09-29-azure-cdn-caching-rules","Mastering Azure CDN Caching Rules and Optimization",20210929,3],["2021-09-30-azure-stack-edge","Edge Computing with Azure Stack Edge",20210930,3],["2021-10-01-azure-kubernetes-service-upgrades","Azure Kubernetes Service Upgrades: A Practical Guide",20211001,3],["2021-10-02-aks-node-pools-design","Designing AKS Node Pools for Production Workloads",20211002,3],["2021-10-03-aks-spot-node-pools","Cost Optimization with AKS Spot Node Pools",20211003,3],["2021-10-04-aks-virtual-nodes","Serverless Kubernetes with AKS Virtual Nodes",20211004,3],["2021-10-05-aks-pod-identity","Secure Azure Access with AKS Pod Identity",20211005,3],["2021-10-06-aks-workload-identity","Azure AD Workload Identity for AKS: The Future of Pod Identity",20211006,3],["2021-10-07-container-insights","Comprehensive AKS Monitoring with Container Insights",20211007,3],["2021-10-08-prometheus-metrics-aks","Prometheus Metrics Collection in AKS",20211008,3],["2021-10-09-grafana-dashboards-aks","Building Effective Grafana Dashboards for AKS",20211009,3],["2021-10-10-azure-monitor-containers","Deep Dive into Azure Monitor for Containers",20211010,3],["2021-10-11-log-analytics-workspace-design","Log Analytics Workspace Design for Enterprise Kubernetes",20211011,1],["2021-10-12-cross-workspace-queries","Cross-Workspace Queries in Azure Monitor",20211012,1],["2021-10-13-azure-data-explorer-integration","Azure Data Explorer Integration for Advanced Analytics",20211013,1],["2021-10-14-adx-continuous-export","ADX Continuous Export for Data Archival and Compliance",20211014,1],["2021-10-15-kusto-functions","Kusto Functions for Reusable Query Patterns",20211015,1],["2021-10-16-materialized-views-adx","Materialized Views in Azure Data Explorer",20211016,1],["2021-10-17-external-tables-adx","External Tables in Azure Data Explorer",20211017,1],["2021-10-18-ignite-2021-data-ai-updates","Microsoft Ignite 2021: Data, AI, and the Intelligent Cloud",20211018,0],["2021-10-18-azure-synapse-serverless","Azure Synapse Serverless SQL Pools for Big Data Analytics",20211018,1],["2021-10-19-synapse-dedicated-sql-best-practices","Azure Synapse Dedicated SQL Pool Best Practices",20211019,1],["2021-10-20-polybase-data-virtualization","PolyBase for Data Virtualization in Azure Synapse",20211020,1],["2021-10-21-synapse-copy-command","High-Performance Data Loading with COPY Command in Synapse",20211021,1],["2021-10-22-synapse-result-set-caching","Result Set Caching for Query Acceleration in Synapse",20211022,1],["2021-10-23-synapse-workload-management","Workload Management in Azure Synapse",20211023,1],["2021-10-24-azure-databricks-clusters","Azure Databricks Cluster Configuration Best Practices",20211024,1],["2021-10-25-databricks-cluster-policies","Databricks Cluster Policies for Governance and Cost Control",20211025,1],["2021-10-26-job-clusters-vs-all-purpose","Job Clusters vs All-Purpose Clusters: Choosing the Right Approach",20211026,1],["2021-10-27-databricks-cli","Mastering the Databricks CLI for Automation",20211027,1],["2021-10-28-databricks-rest-api","Databricks REST API for Advanced Automation",20211028,1],["2021-10-29-databricks-notebook-workflows","Databricks Notebook Workflows for Data Pipelines",20211029,1],["2021-10-30-databricks-git-integration","Git Integration in Databricks for Version Control",20211030,1],["2021-10-31-databricks-repos-production","Repos in Databricks: Managing Production Deployments",20211031,0],["2021-11-01-dotnet-6-ga-release",".NET 6 GA: The Long-Term Support Release That Changes Everything",20211101,5],["2021-11-02-csharp-10-features","C# 10 Features: Writing Cleaner, More Expressive Code",20211102,5],["2021-11-03-minimal-apis-aspnet-core","Minimal APIs in ASP.NET Core 6: Building Lightweight HTTP Services",20211103,3],["2021-11-04-hot-reload-dotnet6","Hot Reload in .NET 6: Edit Code Without Restarting",20211104,5],["2021-11-05-azure-functions-dotnet6","Azure Functions with .NET 6: In-Process and Isolated Worker Models",20211105,3],["2021-11-06-azure-static-web-apps-enterprise","Azure Static Web Apps Enterprise Features: Production-Ready JAMstack",20211106,3],["2021-11-07-power-platform-managed-environments","Power Platform Managed Environments: Enterprise Governance at Scale",20211107,2],["2021-11-08-run-for-autism-2021","Run for Autism - 2021",20211108,5],["2021-11-08-dataverse-for-teams","Dataverse for Teams: Building Data-Driven Apps Inside Microsoft Teams",20211108,1],["2021-11-09-power-fx-language","Power Fx: The Low-Code Programming Language for Everyone",20211109,2],["2021-11-10-power-bi-premium-capacities","Power BI Premium Capacities: Scaling Enterprise Analytics",20211110,1],["2021-11-11-power-bi-deployment-pipelines","Power BI Deployment Pipelines: CI/CD for Business Intelligence",20211111,1],["2021-11-12-azure-synapse-link-dataverse","Azure Synapse Link for Dataverse: Real-Time Analytics on Business Data",20211112,1],["2021-11-13-azure-openai-service-updates","Azure OpenAI Service Announced: What We Know About the Limited Preview",20211113,0],["2021-11-14-responsible-ai-principles","Responsible AI in Practice: Building Ethical AI Systems",20211114,0],["2021-11-15-azure-percept-edge-ai","Azure Percept: Edge AI Development Made Simple",20211115,0],["2021-11-16-azure-arc-enabled-servers","Azure Arc-Enabled Servers: Manage Any Server from Azure",20211116,3],["2021-11-17-arc-enabled-kubernetes","Azure Arc-Enabled Kubernetes: Manage Kubernetes Clusters Anywhere",20211117,3],["2021-11-18-arc-enabled-data-services","Azure Arc-Enabled Data Services: Run Azure Data Anywhere",20211118,1],["2021-11-19-azure-stack-hci","Azure Stack HCI: Hyperconverged Infrastructure with Azure Integration",20211119,3],["2021-11-20-azure-automanage","Azure Automanage: Automated VM Management Best Practices",20211120,3],["2021-11-21-azure-chaos-studio","Azure Chaos Studio: Chaos Engineering for Resilient Applications",20211121,3],["2021-11-22-azure-load-testing","Azure Load Testing: Cloud-Native Performance Testing",20211122,3],["2021-11-23-azure-monitor-application-insights","Azure Monitor Application Insights: Deep Observability for Applications",20211123,3],["2021-11-24-opentelemetry-azure","OpenTelemetry with Azure: Vendor-Neutral Observability",20211124,3],["2021-11-25-azure-service-connector","Azure Service Connector: Simplified Service-to-Service Connections",20211125,3],["2021-11-26-azure-developer-cli-preview","Azure Developer CLI Preview: Streamlined Cloud Development",20211126,1],["2021-11-27-azure-container-apps-preview","Azure Container Apps Preview: Serverless Containers Made Simple",20211127,3],["2021-11-28-azure-communication-services","Azure Communication Services: Build Communication Apps with Azure",20211128,2],["2021-11-29-teams-integration-azure","Microsoft Teams Integration with Azure: Building Collaborative Apps",20211129,2],["2021-11-30-ignite-2021-recap-looking-forward","Microsoft Ignite 2021 Recap: Looking Forward to the Intelligent Cloud",20211130,0],["2021-12-01-azure-2021-year-in-review","Azure 2021 Year in Review: The Platform That Kept Evolving",20211201,3],["2021-12-02-data-engineering-trends-2021","Data Engineering Trends That Defined 2021",20211202,1],["2021-12-03-ai-ml-trends-2021","AI and Machine Learning Trends: What 2021 Taught Us",20211203,0],["2021-12-04-kubernetes-adoption-enterprise","Kubernetes Adoption in the Enterprise: Lessons from 2021",20211204,3],["2021-12-05-serverless-evolution-2021","The Serverless Evolution: Where We Landed in 2021",20211205,3],["2021-12-06-event-driven-architecture-patterns","Event-Driven Architecture Patterns for Modern Applications",20211206,3],["2021-12-07-data-mesh-concepts-practice","Data Mesh: From Concept to Practice",20211207,1],["2021-12-08-data-lakehouse-patterns","Data Lakehouse Patterns: Best of Both Worlds",20211208,1],["2021-12-09-feature-engineering-best-practices","Feature Engineering Best Practices for Production ML",20211209,0],["2021-12-10-model-monitoring-production","Model Monitoring in Production: Detecting Drift Before It's Too Late",20211210,0],["2021-12-11-cicd-ml-pipelines","CI/CD for Machine Learning: Building Reliable ML Pipelines",20211211,0],["2021-12-12-infrastructure-as-code-maturity","Infrastructure as Code Maturity: Beyond the Basics",20211212,3],["2021-12-13-gitops-practices-kubernetes","GitOps Practices: Declarative Infrastructure and Application Delivery",20211213,3],["2021-12-14-zero-trust-security-azure","Zero Trust Security in Azure: Trust Nothing, Verify Everything",20211214,3],["2021-12-15-identity-first-security","Identity-First Security: The New Perimeter",20211215,3],["2021-12-16-data-governance-best-practices","Data Governance Best Practices: From Policy to Practice",20211216,1],["2021-12-17-cost-optimization-azure","Cost Optimization Strategies for Azure Workloads",20211217,3],["2021-12-18-finops-practices","FinOps Practices: Managing Cloud Financial Operations",20211218,3],["2021-12-19-green-computing-cloud","Green Computing in the Cloud: Sustainability at Scale",20211219,3],["2021-12-20-carbon-aware-computing","Carbon-Aware Computing: Building Climate-Conscious Applications",20211220,3],["2021-12-21-edge-ai-deployment","Edge AI: Deploying Machine Learning at the Edge",20211221,0],["2021-12-22-federated-learning-privacy","Federated Learning: Privacy-Preserving Machine Learning",20211222,0],["2021-12-23-differential-privacy-ml","Differential Privacy in Machine Learning: Protecting Individual Data",20211223,0],["2021-12-24-synthetic-data-generation","Synthetic Data Generation: When Real Data Isn't Available",20211224,0],["2021-12-25-data-quality-practices","Data Quality Practices: Building Trust in Your Data",20211225,1],["2021-12-26-data-observability","Data Observability: Monitoring Your Data Pipelines",20211226,1],["2021-12-27-dataops-practices","DataOps Practices: Agile for Data Teams",20211227,1],["2021-12-28-platform-engineering","Platform Engineering: Building the Foundation for Developer Productivity",20211228,3],["2021-12-29-developer-experience","Developer Experience: Making Developers Productive and Happy",20211229,5],["2021-12-30-internal-developer-platforms","Internal Developer Platforms: Scaling Developer Self-Service",20211230,3],["2021-12-31-self-service-infrastructure","Self-Service Infrastructure: Empowering Teams to Move Fast",20211231,2],["2022-01-01-azure-predictions-2022","Azure in 2022: Six Bets I'm Making on New Year's Day",20220101,3],["2022-01-02-azure-container-apps-deep-dive","Azure Container Apps Preview in Bicep: Revisions, Scaling and Dapr",20220102,3],["2022-01-03-dapr-on-azure","Dapr on Azure in 2022: Picking a Host and Securing Components",20220103,3],["2022-01-04-aks-2022-updates","A New AKS Cluster Baseline for 2022: What Changed in Late 2021",20220104,3],["2022-01-05-aks-cost-optimization","AKS Cost Review: Fix Requests First, Then Nodes, Then Billing",20220105,3],["2022-01-06-azure-spot-vms","Azure Spot VMs: Eviction Policy, Max Price and the 30-Second Notice",20220106,3],["2022-01-07-azure-spot-instances-strategies","Designing for Eviction: Architecture Patterns for Azure Spot VMs",20220107,3],["2022-01-08-azure-reserved-instances-planning","Sizing an Azure VM Reservation: Buy the Floor, Not the Average",20220108,3],["2022-01-09-azure-hybrid-benefit","Azure Hybrid Benefit as Code: Only Claim Licences You Can Prove",20220109,3],["2022-01-10-azure-devops-2022","Azure DevOps in 2022: Lock Down Your YAML Pipelines First",20220110,3],["2022-01-11-github-advanced-security","GitHub Advanced Security: What You Get and How to Roll It Out",20220111,3],["2022-01-12-github-copilot-preview","GitHub Copilot Technical Preview: Should Your Team Try It?",20220112,0],["2022-01-13-github-code-scanning","Tuning CodeQL Code Scanning: Query Suites, Custom Queries and SARIF",20220113,3],["2022-01-14-github-secret-scanning","GitHub Secret Scanning: What to Do When the Alert Fires",20220114,3],["2022-01-15-dependabot-dependency-management","Dependabot Without the PR Flood: Config, Auto-Merge and Triage",20220115,3],["2022-01-16-azure-bicep-2022","Bicep at v0.4 in January 2022: Ready for Production, With Caveats",20220116,3],["2022-01-17-bicep-registry","Bicep Private Module Registry: Publishing and Versioning with ACR",20220117,3],["2022-01-18-arm-what-if","ARM What-If in CI/CD: Reviewing Bicep Changes Before They Ship",20220118,3],["2022-01-19-azure-policy-as-code","Azure Policy as Code: Repo Layout, Pipeline and Staged Rollout",20220119,3],["2022-01-20-azure-blueprints-deprecation","Azure Blueprints Is Still in Preview: Hedging With Bicep and Template Specs",20220120,3],["2022-01-21-azure-landing-zones","Azure Landing Zones: Accelerator, Terraform Module or Your Own Bicep",20220121,3],["2022-01-22-cloud-adoption-framework","Cloud Adoption Framework: The Half That Isn't Landing Zones",20220122,3],["2022-01-23-well-architected-reviews","Well-Architected Reviews as a Habit, Not a Kickoff Ritual",20220123,3],["2022-01-24-azure-advisor-score","Azure Advisor Score (Preview): Read It as a Trend, Not a Grade",20220124,3],["2022-01-25-azure-sustainability","Measure Your Azure Carbon Footprint Before You Try to Shrink It",20220125,1],["2022-01-26-power-bi-2022-features","Power BI in Early 2022: What's GA, What's Preview, What to Adopt",20220126,1],["2022-01-27-power-bi-composite-models","Power BI Composite Models: Choosing Import, DirectQuery or Dual",20220127,1],["2022-01-28-power-bi-directquery-datasets","DirectQuery for Power BI Datasets: Extending a Certified Model",20220128,1],["2022-01-29-power-bi-hybrid-tables","Power BI Hybrid Tables: A Live DirectQuery Partition on Import",20220129,1],["2022-01-30-power-bi-automatic-aggregations","Power BI Automatic Aggregations (Preview): When to Let the Service Decide",20220130,1],["2022-01-31-power-bi-smart-narratives","Power BI Smart Narratives vs DAX Text: Choosing How Reports Talk",20220131,0],["2022-02-01-azure-synapse-analytics-updates","Azure Synapse Analytics Updates: What's New in 2022",20220201,1],["2022-02-02-synapse-serverless-sql-performance","Synapse Serverless SQL Performance: Optimization Strategies",20220202,1],["2022-02-03-synapse-dedicated-sql-pools","Synapse Dedicated SQL Pools: Performance Tuning Guide",20220203,1],["2022-02-04-synapse-spark-pools-optimization","Synapse Spark Pools: Optimization and Best Practices",20220204,1],["2022-02-05-data-flows-gen2","Data Flows Gen2: Visual Data Transformation at Scale",20220205,1],["2022-02-06-power-query-online","Power Query Online: Data Preparation in the Cloud",20220206,1],["2022-02-07-dataverse-integration","Dataverse Integration: Connecting Power Platform to Azure",20220207,2],["2022-02-08-power-platform-alm","Power Platform ALM: Application Lifecycle Management Best Practices",20220208,2],["2022-02-09-power-platform-solution-layering","Power Platform Solution Layering: Managing Dependencies",20220209,2],["2022-02-10-power-platform-environment-strategy","Power Platform Environment Strategy: Planning for Scale",20220210,2],["2022-02-11-managed-identities-everywhere","Managed Identities Everywhere: Eliminating Secrets in Azure",20220211,3],["2022-02-12-workload-identity-federation","Workload Identity Federation: Keyless Authentication from Anywhere",20220212,3],["2022-02-13-oidc-github-actions","OIDC for GitHub Actions: Secure Azure Deployments",20220213,3],["2022-02-14-keyless-authentication","Keyless Authentication: The Future of Cloud Security",20220214,3],["2022-02-15-certificate-less-authentication","Certificate-Less Authentication: Simplifying Service Identity",20220215,3],["2022-02-16-azure-key-vault-rotation","Azure Key Vault Secret Rotation: Automating Credential Management",20220216,3],["2022-02-17-secrets-management-patterns","Secrets Management Patterns: Best Practices for Azure",20220217,3],["2022-02-18-hashicorp-vault-azure","HashiCorp Vault on Azure: Enterprise Secrets Management",20220218,3],["2022-02-19-azure-confidential-ledger","Azure Confidential Ledger: Tamper-Proof Record Keeping",20220219,3],["2022-02-20-azure-managed-grafana","Azure Managed Grafana Preview: Enterprise Observability",20220220,3],["2022-02-21-azure-monitor-logs-dedicated-clusters","Azure Monitor Logs Dedicated Clusters: Enterprise-Scale Logging",20220221,1],["2022-02-22-data-collection-rules","Azure Data Collection Rules: Modern Log Ingestion",20220222,1],["2022-02-23-azure-monitor-agent","Azure Monitor Agent: The Future of Azure Monitoring",20220223,0],["2022-02-24-log-analytics-agent-deprecation","Log Analytics Agent Deprecation: Migration Planning",20220224,0],["2022-02-25-syslog-collection-azure-monitor","Syslog Collection with Azure Monitor: Linux Log Management",20220225,3],["2022-02-26-windows-event-collection","Windows Event Collection: Comprehensive Monitoring with AMA",20220226,3],["2022-02-27-custom-logs-azure-monitor","Custom Logs in Azure Monitor: Ingesting Any Data Source",20220227,1],["2022-02-28-prometheus-remote-write-azure","Prometheus Remote Write to Azure Monitor: Unified Metrics",20220228,3],["2022-03-01-azure-openai-service-expansion","Azure OpenAI Service Expansion: Bringing GPT Models to Enterprise",20220301,0],["2022-03-02-gpt3-enterprise-applications","GPT-3 for Enterprise: Practical Applications and Implementation Patterns",20220302,0],["2022-03-03-codex-models-code-generation","Codex Models: AI-Powered Code Generation for Developers",20220303,0],["2022-03-04-azure-cognitive-services-updates","Azure Cognitive Services Updates: What's New in Early 2022",20220304,0],["2022-03-05-form-recognizer-v3","Form Recognizer v3: Intelligent Document Processing at Scale",20220305,0],["2022-03-06-custom-neural-voice","Custom Neural Voice: Creating Brand-Specific AI Voices",20220306,0],["2022-03-07-speech-translation-realtime","Real-Time Speech Translation with Azure Cognitive Services",20220307,0],["2022-03-08-immersive-reader-accessibility","Azure Immersive Reader: Building Accessible Reading Experiences",20220308,0],["2022-03-09-metrics-advisor-anomaly-detection","Azure Metrics Advisor: Intelligent Anomaly Detection for Time Series Data",20220309,0],["2022-03-10-databricks-unity-catalog-intro","Azure Databricks Unity Catalog: Unified Data Governance at Scale",20220310,1],["2022-03-11-databricks-data-governance","Data Governance in Azure Databricks: Policies, Practices, and Implementation",20220311,1],["2022-03-12-delta-sharing-data-exchange","Delta Sharing: Secure Data Exchange Across Organizations",20220312,1],["2022-03-13-databricks-sql-warehouse","Databricks SQL: Analytics Warehousing on the Lakehouse",20220313,1],["2022-03-14-photon-engine-performance","Photon Engine: Accelerating Spark Workloads on Databricks",20220314,1],["2022-03-15-databricks-ml-overview","Databricks ML: End-to-End Machine Learning on the Lakehouse",20220315,0],["2022-03-15-azure-data-factory-mapping-dataflows-patterns","Azure Data Factory Mapping Data Flows: ETL Patterns for the Modern Data Platform",20220315,1],["2022-03-16-databricks-feature-store","Databricks Feature Store: Centralized Feature Management for ML",20220316,0],["2022-03-17-databricks-model-serving","Databricks Model Serving: Real-Time ML Inference at Scale",20220317,0],["2022-03-18-mlflow-model-registry","MLflow Model Registry: Versioning and Deploying ML Models",20220318,0],["2022-03-19-databricks-automl","AutoML in Databricks: Automated Machine Learning Made Simple",20220319,0],["2022-03-20-databricks-workflows","Databricks Workflows: Orchestrating Data and ML Pipelines",20220320,0],["2022-03-21-delta-live-tables-intro","Delta Live Tables: Declarative Data Pipelines on Databricks",20220321,1],["2022-03-22-dlt-expectations-quality","Data Quality with Delta Live Tables Expectations",20220322,1],["2022-03-23-dlt-cdc-patterns","Change Data Capture with Delta Live Tables",20220323,1],["2022-03-24-dlt-streaming-tables","Streaming Tables in Delta Live Tables",20220324,1],["2022-03-25-dlt-materialized-views","Materialized Views in Delta Live Tables",20220325,1],["2022-03-26-azure-data-factory-managed-vnet","Azure Data Factory Managed Virtual Network: Secure Data Integration",20220326,1],["2022-03-27-azure-private-endpoints-everywhere","Private Endpoints Everywhere: Securing Your Azure Data Platform",20220327,1],["2022-03-28-azure-private-link-service","Azure Private Link Service: Expose Your Services Privately",20220328,3],["2022-03-29-azure-private-dns-resolver","Azure DNS Private Resolver: Hybrid DNS for the Cloud Era",20220329,3],["2022-03-30-dns-forwarding-azure-hybrid","DNS Forwarding Strategies for Azure Hybrid Architectures",20220330,3],["2022-03-31-azure-data-ai-march-recap","Azure Data and AI: March 2022 Recap and What's Ahead",20220331,0],["2022-04-01-power-platform-updates-april","Microsoft Power Platform Updates: What's New in Spring 2022",20220401,2],["2022-04-02-power-apps-cards","Power Apps Cards: Micro-Apps for Microsoft Teams",20220402,2],["2022-04-03-power-automate-cloud-connectors","Power Automate Cloud Connectors: Connecting Your Enterprise",20220403,2],["2022-04-04-power-automate-custom-connectors","Building Custom Connectors for Power Automate",20220404,2],["2022-04-05-power-automate-desktop","Power Automate Desktop: Robotic Process Automation for Everyone",20220405,2],["2022-04-06-rpa-with-azure","RPA with Azure: Scaling Robotic Process Automation in the Cloud",20220406,2],["2022-04-07-ai-builder-overview","AI Builder: No-Code AI for the Power Platform",20220407,0],["2022-04-08-ai-builder-document-processing","Document Processing with AI Builder: From PDFs to Structured Data",20220408,0],["2022-04-09-ai-builder-receipt-processing","Receipt Processing with AI Builder: Automating Expense Management",20220409,0],["2022-04-10-ai-builder-business-card-reader","Business Card Reader with AI Builder: Digitizing Contact Information",20220410,0],["2022-04-11-ai-builder-form-processing","Custom Form Processing with AI Builder: Training Your Own Document Models",20220411,0],["2022-04-12-ai-builder-object-detection","Object Detection with AI Builder: Computer Vision for Business",20220412,0],["2022-04-13-ai-builder-text-recognition","Text Recognition with AI Builder: OCR for the Power Platform",20220413,0],["2022-04-14-ai-builder-sentiment-analysis","Sentiment Analysis in Power Platform: Understanding Customer Emotions",20220414,0],["2022-04-15-ai-builder-category-classification","Category Classification with AI Builder: Automating Text Categorization",20220415,0],["2022-04-16-ai-builder-entity-extraction","Entity Extraction with AI Builder: Mining Structured Data from Text",20220416,0],["2022-04-17-ai-builder-key-phrase-extraction","Key Phrase Extraction with AI Builder: Identifying Important Concepts",20220417,0],["2022-04-18-ai-builder-language-detection","Language Detection with AI Builder: Routing Multilingual Content",20220418,0],["2022-04-19-power-bi-embedded-overview","Power BI Embedded: Analytics in Your Applications",20220419,1],["2022-04-20-power-bi-embed-for-customers","Power BI Embed for Customers: Building Analytics Portals",20220420,1],["2022-04-21-power-bi-embed-for-organization","Power BI Embed for Organization: Internal Analytics Integration",20220421,1],["2022-04-22-power-bi-row-level-security","Power BI Row-Level Security: Securing Data at the Row Level",20220422,1],["2022-04-23-power-bi-object-level-security","Power BI Object-Level Security: Protecting Tables and Columns",20220423,1],["2022-04-24-power-bi-rest-api","Power BI REST API: Automating Analytics Operations",20220424,1],["2022-04-25-power-bi-dotnet-sdk","Power BI .NET SDK: Building C# Applications with Power BI",20220425,1],["2022-04-26-power-bi-deployment-pipelines","Power BI Deployment Pipelines: CI/CD for Analytics",20220426,1],["2022-04-27-power-bi-xmla-endpoints","Power BI XMLA Endpoints: Enterprise Dataset Management",20220427,1],["2022-04-28-power-bi-tabular-editor","Tabular Editor for Power BI: Advanced Dataset Development",20220428,1],["2022-04-29-power-bi-alm-toolkit","ALM Toolkit for Power BI: Schema Comparison and Deployment",20220429,1],["2022-04-30-power-bi-external-tools","Power BI External Tools: Extending Desktop Capabilities",20220430,1],["2022-05-01-microsoft-dev-box-preview","Microsoft Dev Box Preview: Cloud-Based Developer Workstations",20220501,3],["2022-05-02-azure-deployment-environments","Azure Deployment Environments: Infrastructure as Code for Dev Teams",20220502,2],["2022-05-03-github-codespaces-azure-integration","GitHub Codespaces: Cloud Development with Azure Integration",20220503,3],["2022-05-04-azure-container-apps-ga","Azure Container Apps GA: Serverless Containers Made Simple",20220504,3],["2022-05-05-dapr-17-features","Dapr 1.7: New Features for Distributed Applications",20220505,3],["2022-05-06-azure-static-web-apps-updates","Azure Static Web Apps: New Features at Build 2022",20220506,3],["2022-05-07-azure-functions-nodejs-18","Azure Functions Node.js 18: New Runtime Features",20220507,3],["2022-05-08-dotnet-7-preview-features",".NET 7 Preview: Performance and Cloud-Native Features",20220508,3],["2022-05-09-maui-preview-cross-platform",".NET MAUI Preview: Cross-Platform App Development",20220509,5],["2022-05-10-azure-communication-services","Azure Communication Services: Building Connected Experiences",20220510,3],["2022-05-11-teams-apps-integration","Building Teams Apps: Integration Patterns and Best Practices",20220511,2],["2022-05-12-microsoft-graph-updates","Microsoft Graph API: Latest Updates and Patterns",20220512,2],["2022-05-13-microsoft-365-development","Microsoft 365 Development: Building Productivity Apps",20220513,2],["2022-05-14-power-platform-connectors","Power Platform Custom Connectors: Extending Low-Code Capabilities",20220514,2],["2022-05-15-dataverse-web-api","Dataverse Web API: Building Enterprise Data Solutions",20220515,1],["2022-05-16-dataverse-virtual-tables","Dataverse Virtual Tables: Integrating External Data",20220516,1],["2022-05-17-dataverse-elastic-tables","Dataverse Elastic Tables: High-Volume Data Storage",20220517,1],["2022-05-18-dataverse-business-events","Dataverse Business Events: Event-Driven Architecture",20220518,2],["2022-05-19-dataverse-plugins","Dataverse Plugins: Server-Side Business Logic",20220519,2],["2022-05-20-dataverse-custom-apis","Dataverse Custom APIs: Building Reusable Operations",20220520,2],["2022-05-21-azure-synapse-analytics-updates","Azure Synapse Analytics: Build 2022 Updates",20220521,1],["2022-05-22-synapse-data-explorer","Synapse Data Explorer: Real-Time Analytics at Scale",20220522,1],["2022-05-23-log-analytics-integration","Azure Log Analytics Integration with Synapse",20220523,1],["2022-05-24-azure-orbital-ground-station","Azure Orbital: Ground Station as a Service",20220524,3],["2022-05-25-space-apis-satellite-data","Space APIs: Working with Satellite Data on Azure",20220525,1],["2022-05-26-azure-quantum-introduction","Azure Quantum: Introduction to Quantum Computing",20220526,3],["2022-05-27-quantum-computing-basics","Quantum Computing Basics: Understanding Qubits and Gates",20220527,4],["2022-05-28-qsharp-programming","Q# Programming: Building Quantum Applications",20220528,3],["2022-05-29-quantum-simulators","Quantum Simulators: Testing Without Quantum Hardware",20220529,3],["2022-05-30-quantum-optimization-problems","Quantum Optimization: Solving Real-World Problems",20220530,3],["2022-05-31-build-2022-recap","Microsoft Build 2022 Recap: Key Azure and AI Announcements",20220531,0],["2022-06-01-azure-kubernetes-124","Azure Kubernetes Service 1.24: New Features and Breaking Changes",20220601,3],["2022-06-02-kubernetes-124-features","Kubernetes 1.24 Features: Deep Dive into New Capabilities",20220602,3],["2022-06-03-dockershim-removal","Dockershim Removal: Migrating to containerd on AKS",20220603,3],["2022-06-04-containerd-runtime","containerd Runtime: Understanding the Container Engine",20220604,3],["2022-06-05-ephemeral-containers","Ephemeral Containers: Debugging Kubernetes Pods",20220605,3],["2022-06-06-seccomp-default","Seccomp by Default: Kubernetes Container Security",20220606,3],["2022-06-07-pod-security-admission","Pod Security Admission: Replacing Pod Security Policies",20220607,3],["2022-06-08-network-policies","Kubernetes Network Policies: Securing Pod Communication",20220608,3],["2022-06-09-calico-on-aks","Calico on AKS: Advanced Network Policies",20220609,3],["2022-06-10-azure-cni-overlay","Azure CNI Overlay: Scalable Pod Networking",20220610,3],["2022-06-11-cilium-preview","Cilium Preview on AKS: eBPF-Based Networking",20220611,3],["2022-06-12-ebpf-kubernetes","eBPF in Kubernetes: The Technology Behind Modern Networking",20220612,3],["2022-06-13-service-mesh-comparison","Service Mesh Comparison: Istio vs Linkerd vs Open Service Mesh",20220613,3],["2022-06-14-istio-on-aks","Istio on AKS: Complete Service Mesh Implementation",20220614,3],["2022-06-15-linkerd-lightweight-mesh","Linkerd: Lightweight Service Mesh for Kubernetes",20220615,3],["2022-06-16-open-service-mesh","Open Service Mesh: Azure's SMI-Compatible Mesh",20220616,3],["2022-06-17-dapr-vs-service-mesh","Dapr vs Service Mesh: Choosing the Right Approach",20220617,3],["2022-06-18-grpc-on-azure","gRPC on Azure: High-Performance API Communication",20220618,3],["2022-06-19-apim-graphql","Azure API Management GraphQL: Modern API Gateway",20220619,3],["2022-06-20-graphql-subscriptions","GraphQL Subscriptions: Real-Time Data with Azure",20220620,1],["2022-06-21-websocket-apis","GitHub Copilot is Now Generally Available: The AI Pair Programmer for Everyone",20220621,0],["2022-06-22-server-sent-events","Server-Sent Events: Simple Real-Time Updates",20220622,3],["2022-06-23-long-polling","Long Polling: Real-Time Patterns for Legacy Systems",20220623,3],["2022-06-24-signalr-scaling","SignalR Scaling: Building Scalable Real-Time Applications",20220624,3],["2022-06-25-azure-web-pubsub","Azure Web PubSub: Native WebSocket at Scale",20220625,3],["2022-06-26-real-time-analytics","Real-Time Analytics on Azure: Building Live Dashboards",20220626,1],["2022-06-27-stream-analytics-updates","Azure Stream Analytics Updates: No-Code Editor and More",20220627,1],["2022-06-28-reference-data-join","Reference Data Joins in Stream Analytics",20220628,1],["2022-06-29-temporal-joins","Temporal Joins: Correlating Events Across Time",20220629,1],["2022-06-30-pattern-matching-streams","Pattern Matching in Streaming Data: Detecting Complex Events",20220630,1],["2022-06-30-databricks-unity-catalog-data-governance","Azure Databricks Unity Catalog: Unified Data Governance for the Lakehouse",20220630,1],["2022-07-01-azure-cosmos-db-for-postgresql-introduction","Getting Started with Azure Cosmos DB for PostgreSQL",20220701,1],["2022-07-02-hyperscale-citus-architecture","Understanding Hyperscale Citus Architecture",20220702,1],["2022-07-03-distributed-postgresql-sharding-strategies","Sharding Strategies for Distributed PostgreSQL",20220703,1],["2022-07-04-citus-reference-tables","Using Reference Tables in Citus for Efficient Joins",20220704,1],["2022-07-05-distributed-queries-citus","Mastering Distributed Queries in Citus",20220705,1],["2022-07-06-citus-colocation","Data Colocation in Citus for Optimal Join Performance",20220706,1],["2022-07-07-real-time-dashboards-citus","Building Real-Time Dashboards with Citus",20220707,1],["2022-07-08-time-series-at-scale-citus","Time-Series Data at Scale with Citus and TimescaleDB",20220708,1],["2022-07-09-azure-database-mysql-flexible-server","Azure Database for MySQL Flexible Server: A Complete Guide",20220709,1],["2022-07-10-mysql-8-features-azure","Leveraging MySQL 8.0 Features on Azure",20220710,1],["2022-07-11-mysql-high-availability-azure","High Availability Architecture for MySQL on Azure",20220711,3],["2022-07-12-mysql-read-replicas-azure","Scaling Reads with MySQL Read Replicas on Azure",20220712,3],["2022-07-13-azure-database-postgresql-flexible-server","Azure Database for PostgreSQL Flexible Server Deep Dive",20220713,1],["2022-07-14-azure-arc-enabled-postgresql","Azure Arc-Enabled PostgreSQL Hyperscale",20220714,1],["2022-07-15-azure-arc-enabled-sql","Azure Arc-Enabled SQL Managed Instance",20220715,1],["2022-07-16-sql-server-2022-preview","SQL Server 2022 Preview: Key Features for Developers",20220716,1],["2022-07-17-contained-availability-groups","Contained Availability Groups in SQL Server 2022",20220717,1],["2022-07-18-link-to-azure-sql-managed-instance","Link Feature for Azure SQL Managed Instance",20220718,1],["2022-07-19-azure-sql-edge","Azure SQL Edge for IoT and Edge Computing",20220719,1],["2022-07-20-iot-database-patterns","Database Patterns for IoT Applications",20220720,1],["2022-07-21-edge-computing-database-patterns","Edge Computing Database Patterns and Best Practices",20220721,1],["2022-07-22-azure-iot-hub-updates","Azure IoT Hub Updates and New Features in 2022",20220722,3],["2022-07-23-device-provisioning-service","Azure IoT Hub Device Provisioning Service Deep Dive",20220723,3],["2022-07-24-iot-hub-message-routing","IoT Hub Message Routing and Custom Endpoints",20220724,1],["2022-07-25-iot-hub-built-in-endpoints","Working with IoT Hub Built-in Endpoints",20220725,1],["2022-07-26-iot-hub-custom-endpoints","Configuring Custom Endpoints in Azure IoT Hub",20220726,1],["2022-07-27-iot-hub-message-enrichments","Enhancing IoT Data with Message Enrichments",20220727,1],["2022-07-28-iot-hub-queries","Mastering IoT Hub Queries for Device Management",20220728,3],["2022-07-29-device-twins-patterns","Device Twin Patterns for IoT Applications",20220729,3],["2022-07-30-azure-iot-security-best-practices","Azure IoT Security Best Practices",20220730,3],["2022-07-31-iot-solution-architecture","Designing End-to-End IoT Solution Architecture on Azure",20220731,3],["2022-08-01-azure-machine-learning-updates","Azure Machine Learning Updates and New Features",20220801,0],["2022-08-02-responsible-ai-dashboard","Building Responsible AI with Azure ML's RAI Dashboard",20220802,0],["2022-08-03-model-explanations-azure-ml","Model Explanations in Azure Machine Learning",20220803,0],["2022-08-04-fairness-assessment-ml","Fairness Assessment for Machine Learning Models",20220804,0],["2022-08-05-error-analysis-ml","Error Analysis for Machine Learning Models",20220805,0],["2022-08-06-counterfactual-analysis","Counterfactual Analysis for ML Model Understanding",20220806,0],["2022-08-07-causal-inference-ml","Causal Inference in Machine Learning with Azure ML",20220807,0],["2022-08-08-my-tools-list","My Tech List 2022",20220808,5],["2022-08-08-azure-ml-managed-online-endpoints","Azure ML Managed Online Endpoints for Model Deployment",20220808,0],["2022-08-09-blue-green-deployment-ml","Blue-Green Deployment for ML Models",20220809,0],["2022-08-10-canary-deployment-ml","Canary Deployments for ML Models",20220810,0],["2022-08-11-ab-testing-ml-models","A/B Testing for ML Models in Production",20220811,0],["2022-08-12-model-monitoring-production","Model Monitoring in Production with Azure ML",20220812,0],["2022-08-13-data-drift-detection","Data Drift Detection for ML Models",20220813,0],["2022-08-14-concept-drift-detection","Concept Drift Detection in Machine Learning",20220814,0],["2022-08-15-feature-drift-monitoring","Feature Drift Monitoring for ML Systems",20220815,0],["2022-08-16-prediction-drift-monitoring","Prediction Drift Monitoring for ML Models",20220816,0],["2022-08-17-azure-ml-pipelines-v2","Azure ML Pipelines v2: Modern ML Workflows",20220817,0],["2022-08-18-azure-ml-components","Building Reusable Components in Azure ML",20220818,0],["2022-08-19-azure-ml-sweep-jobs","Hyperparameter Tuning with Azure ML Sweep Jobs",20220819,0],["2022-08-20-azure-ml-parallel-jobs","Parallel Jobs in Azure ML for Large-Scale Processing",20220820,0],["2022-08-21-azure-ml-automl","Automated Machine Learning with Azure ML AutoML",20220821,0],["2022-08-23-azuresql-datastudio","Backup Azure SQL Database using Azure Data Studio on your Desktop",20220822,1],["2022-08-22-azure-cognitive-search-updates","Azure Cognitive Search Updates and New Features",20220822,0],["2022-08-23-semantic-search-azure","Semantic Search in Azure Cognitive Search",20220823,0],["2022-08-24-vector-search-preview","Vector Search Preview in Azure Cognitive Search",20220824,0],["2022-08-25-hybrid-search-patterns","Hybrid Search Patterns in Azure Cognitive Search",20220825,0],["2022-08-26-knowledge-store-cognitive-search","Knowledge Store in Azure Cognitive Search",20220826,0],["2022-08-26-csharp-inmemorydb","In Memory SQLite database on C#",20220826,1],["2022-08-27-cognitive-search-projections","Working with Projections in Azure Cognitive Search",20220827,0],["2022-08-28-enrichment-cache","Enrichment Cache in Azure Cognitive Search",20220828,0],["2022-08-29-debug-sessions-skillsets","Debug Sessions for Cognitive Search Skillsets",20220829,0],["2022-08-30-skillsets-cognitive-search","Building Skillsets in Azure Cognitive Search",20220830,0],["2022-08-31-custom-skills-cognitive-search","Building Custom Skills for Azure Cognitive Search",20220831,0],["2022-09-01-azure-cosmos-db-updates","Azure Cosmos DB Updates - September 2022",20220901,1],["2022-09-02-hierarchical-partition-keys","Hierarchical Partition Keys in Azure Cosmos DB",20220902,1],["2022-09-03-cosmos-db-burst-capacity","Burst Capacity in Azure Cosmos DB",20220903,1],["2022-09-04-cosmos-db-continuous-backup","Continuous Backup in Azure Cosmos DB",20220904,1],["2022-09-05-cosmos-db-point-in-time-restore","Point-in-Time Restore in Azure Cosmos DB",20220905,1],["2022-09-06-cosmos-db-mongodb-vcore","Azure Cosmos DB API for MongoDB: Patterns and Best Practices",20220906,1],["2022-09-07-cosmos-db-cassandra-api","Azure Cosmos DB for Apache Cassandra",20220907,1],["2022-09-08-cosmos-db-gremlin-api","Azure Cosmos DB for Apache Gremlin",20220908,1],["2022-09-10-kafka-wsl2","Installing Kafka on WSL2 (Windows Subsystem for Linux)",20220909,3],["2022-09-09-graph-database-fundamentals","Graph Database Fundamentals for Azure Developers",20220909,1],["2022-09-10-gremlin-query-language","Mastering Gremlin Query Language",20220910,1],["2022-09-11-graph-traversal-patterns","Graph Traversal Patterns in Azure Cosmos DB",20220911,1],["2022-09-12-azure-sql-database-updates","Azure SQL Database Updates - September 2022",20220912,1],["2022-09-12-namedpipes","Using named pipes for interprocess communication in C#",20220912,5],["2022-09-13-dotnet-mac-universal","Creating MacOS universal apps in .NET",20220913,3],["2022-09-13-azure-sql-ledger-tables","Ledger Tables in Azure SQL Database",20220913,1],["2022-09-14-eventhubs-rust","Publishing and Consuming Azure Event Hubs with AMQP and Rust",20220914,1],["2022-09-14-azure-sql-always-encrypted","Always Encrypted in Azure SQL Database",20220914,1],["2022-09-15-recession2022","Preparing for the upcoming Recession",20220914,5],["2022-09-15-azure-sql-dynamic-data-masking","Dynamic Data Masking in Azure SQL Database",20220915,1],["2022-09-16-macos-dotnet-background","Creating native MacOS background apps with .NET",20220915,5],["2022-09-16-azure-sql-row-level-security","Row-Level Security in Azure SQL Database",20220916,1],["2022-09-17-azure-sql-managed-instance-updates","Azure SQL Managed Instance Updates - September 2022",20220917,1],["2022-09-18-azure-sql-link-feature","Azure SQL Managed Instance Link Feature",20220918,1],["2022-09-19-macos-codesign","Code Signing and Notarizing your MacOS Apps",20220918,3],["2022-09-19-azure-sql-distributed-transactions","Distributed Transactions in Azure SQL Managed Instance",20220919,1],["2022-09-20-cqs-azure-functions","“CQS (Command Query Separation) in Azure Functions”",20220920,3],["2022-09-20-azure-sql-service-broker","Service Broker in Azure SQL Managed Instance",20220920,1],["2022-09-21-azure-sql-agent-jobs","SQL Agent Jobs in Azure SQL Managed Instance",20220921,0],["2022-09-22-azure-data-studio-intro","Getting Started with Azure Data Studio",20220922,1],["2022-09-23-azure-data-studio-notebooks","Notebooks in Azure Data Studio",20220923,1],["2022-09-24-azure-data-studio-extensions","Essential Azure Data Studio Extensions",20220924,1],["2022-09-25-azure-data-studio-query-editor","Mastering the Query Editor in Azure Data Studio",20220925,1],["2022-09-26-azure-data-studio-database-projects","Database Projects in Azure Data Studio",20220926,1],["2022-09-27-azure-data-studio-schema-compare","Schema Compare in Azure Data Studio",20220927,1],["2022-09-28-data-tier-applications","Data-tier Applications (DACPAC) for Azure SQL",20220928,1],["2022-09-29-azure-data-studio-sqlcmd-mode","SQLCMD Mode in Azure Data Studio",20220929,1],["2022-09-30-azure-sql-bindings","Azure SQL Bindings for Azure Functions",20220930,1],["2022-10-01-microsoft-ignite-2022-preview","Microsoft Ignite 2022 Preview - What to Expect",20221001,0],["2022-10-02-azure-arc-updates","Azure Arc Updates - Hybrid Cloud Management",20221002,3],["2022-10-03-hybrid-cloud-strategies","Hybrid Cloud Strategies with Azure",20221003,3],["2022-10-04-multi-cloud-management","Multi-Cloud Management with Azure",20221004,3],["2022-10-05-azure-stack-updates","Azure Stack Updates - Edge and Hybrid Computing",20221005,3],["2022-10-06-edge-computing-azure","Edge Computing with Azure",20221006,0],["2022-10-07-azure-5g-operators","5G and Azure for Operators",20221007,3],["2022-10-08-azure-private-mec","Azure Private Multi-Access Edge Compute (MEC)",20221008,3],["2022-10-09-azure-orbital-updates","Azure Orbital Updates - Space Computing",20221009,3],["2022-10-10-github-universe-preview","GitHub Universe 2022 Preview",20221010,0],["2022-10-11-github-actions-improvements","GitHub Actions Improvements - October 2022",20221011,3],["2022-10-12-github-actions-larger-runners","GitHub Actions Larger Runners Deep Dive",20221012,3],["2022-10-13-github-required-workflows","GitHub Required Workflows for Enterprise",20221013,3],["2022-10-14-github-reusable-workflows","GitHub Reusable Workflows Patterns",20221014,3],["2022-10-15-github-composite-actions","Building GitHub Composite Actions",20221015,3],["2022-10-16-github-custom-actions","Creating Custom GitHub Actions",20221016,3],["2022-10-17-github-action-caching","GitHub Actions Caching Strategies",20221017,3],["2022-10-18-github-artifact-management","GitHub Actions Artifact Management",20221018,3],["2022-10-19-github-oidc-tokens","OIDC Tokens in GitHub Actions",20221019,3],["2022-10-20-azure-devops-updates","Azure DevOps Updates - October 2022",20221020,3],["2022-10-21-azure-pipelines-improvements","Azure Pipelines Improvements",20221021,3],["2022-10-22-turning-30","The start of my 30s",20221022,5],["2022-10-22-azure-devops-environments","Azure DevOps Environments and Deployments",20221022,3],["2022-10-23-azure-devops-deployment-gates","Deployment Gates in Azure DevOps",20221023,3],["2022-10-24-azure-devops-approvals","Approvals and Checks in Azure DevOps",20221024,3],["2022-10-25-azure-devops-checks","Advanced Checks in Azure DevOps Pipelines",20221025,3],["2022-10-26-azure-devops-service-connections","Service Connections in Azure DevOps",20221026,3],["2022-10-27-azure-devops-variable-groups","Variable Groups in Azure DevOps",20221027,3],["2022-10-28-azure-devops-secure-files","Secure Files in Azure DevOps",20221028,3],["2022-10-29-azure-devops-agent-pools","Azure DevOps Agent Pools",20221029,0],["2022-10-30-azure-devops-self-hosted-agents","Self-Hosted Agents in Azure DevOps",20221030,0],["2022-10-31-azure-devops-best-practices","Azure DevOps Best Practices - October 2022 Summary",20221031,3],["2022-11-01-dotnet-7-general-availability",".NET 7 Release Candidate: Final Preview Before GA",20221101,3],["2022-11-02-csharp-11-features","C# 11 Features: Raw String Literals, Required Members, and More",20221102,5],["2022-11-03-azure-functions-dotnet-7-isolated","Azure Functions with .NET 7: Isolated Worker Process Model",20221103,3],["2022-11-04-minimal-apis-dotnet-7","Minimal APIs in .NET 7: Filters, Route Groups, and Typed Results",20221104,3],["2022-11-05-rate-limiting-aspnet-core","Rate Limiting Middleware in ASP.NET Core 7",20221105,3],["2022-11-06-output-caching-aspnet-core-7","Output Caching in ASP.NET Core 7: A Complete Guide",20221106,3],["2022-11-07-grpc-json-transcoding","gRPC JSON Transcoding in .NET 7: REST and gRPC from One Service",20221107,3],["2022-11-08-azure-openai-service-ignite","Azure OpenAI Service Updates at Microsoft Ignite 2022",20221108,0],["2022-11-09-gpt-35-models-azure","GPT-3 Models on Azure: Understanding text-davinci-002 and Codex",20221109,0],["2022-11-10-codex-azure-development","Using Codex Models for Azure Development Automation",20221110,0],["2022-11-11-dalle-2-azure-image-generation","DALL-E 2 on Azure: AI Image Generation for Enterprise",20221111,0],["2022-11-12-azure-machine-learning-updates","Azure Machine Learning Updates from Microsoft Ignite 2022",20221112,0],["2022-11-13-prompt-flow-preview","Building LLM Applications with Azure OpenAI: Patterns and Practices",20221113,0],["2022-11-14-foundation-models-azure","Foundation Models on Azure: Understanding Large Language Models",20221114,0],["2022-11-15-azure-cognitive-services-updates","Azure Cognitive Services Updates: OpenAI Integration and More",20221115,0],["2022-11-16-azure-bot-service-updates","Azure Bot Service Updates: Building Intelligent Conversational AI",20221116,0],["2022-11-17-power-virtual-agents-updates","Power Virtual Agents Updates: Low-Code Conversational AI",20221117,0],["2022-11-18-microsoft-syntex-content-ai","Microsoft Syntex: Content AI for the Enterprise",20221118,0],["2022-11-19-sharepoint-syntex-document-processing","SharePoint Syntex Document Processing: Practical Implementation",20221119,0],["2022-11-20-azure-synapse-analytics-updates","Azure Synapse Analytics Updates: Ignite 2022 Highlights",20221120,1],["2022-11-21-synapse-pathway-migration","Synapse Pathway: Accelerating Data Warehouse Migration",20221121,1],["2022-11-22-ssis-migration-azure","SSIS to Azure Migration: Strategies and Tools",20221122,1],["2022-11-23-ssrs-migration-power-bi","SSRS to Power BI Migration: A Practical Guide",20221123,1],["2022-11-24-azure-data-ai-thanksgiving","Thanksgiving Reflections: A Year of Azure Data and AI Progress",20221124,0],["2022-11-25-azure-black-friday-cost-optimization","Black Friday Azure Tips: Cost Optimization for Peak Traffic",20221125,3],["2022-11-26-azure-cosmos-db-best-practices","Azure Cosmos DB Best Practices for 2022",20221126,1],["2022-11-27-azure-devops-github-actions-comparison","Azure DevOps vs GitHub Actions: Choosing the Right CI/CD Platform",20221127,3],["2022-11-28-preparing-for-chatgpt","Advanced GPT-3 Prompt Engineering: Preparing for the Next Wave of AI",20221128,0],["2022-11-29-azure-container-apps-production","Azure Container Apps for Production Workloads",20221129,3],["2022-11-30-chatgpt-launches-ai-revolution","ChatGPT Launches: The AI Revolution Begins Today",20221130,0],["2022-12-01-chatgpt-developer-workflows","ChatGPT in Developer Workflows: Practical Applications",20221201,0],["2022-12-02-chatgpt-pair-programming","AI Pair Programming with ChatGPT: A New Development Paradigm",20221202,0],["2022-12-03-natural-language-to-code","Natural Language to Code: The Future of Programming",20221203,0],["2022-12-04-prompt-engineering-basics","Prompt Engineering Basics: Getting Better Results from AI",20221204,0],["2022-12-05-chatgpt-learning-tool","ChatGPT as a Learning Tool: Accelerating Your Technical Growth",20221205,0],["2022-12-06-ai-ethics-responsible-ai","AI Ethics and Responsible AI: Building Trustworthy Systems",20221206,0],["2022-12-07-ai-governance-enterprise","AI Governance for Enterprise: Policies and Practices",20221207,0],["2022-12-08-model-cards-ai-transparency","Model Cards: Documenting AI for Transparency and Trust",20221208,0],["2022-12-08-chatgpt-openai-what-it-means","ChatGPT: What OpenAI's New AI Chatbot Means for Developers",20221208,0],["2022-12-09-year-end-azure-recap","2022 Azure Year in Review: Major Releases and Milestones",20221209,3],["2022-12-10-data-platform-evolution-2022","Data Platform Evolution in 2022: Trends and Technologies",20221210,1],["2022-12-11-ai-ml-milestones-2022","AI/ML Milestones of 2022: A Technical Retrospective",20221211,0],["2022-12-12-cloud-native-maturity","Cloud Native Maturity: Where Organizations Stand in 2022",20221212,3],["2022-12-13-devops-practices-2022","DevOps Practices That Defined 2022",20221213,3],["2022-12-14-platform-engineering-rise","The Rise of Platform Engineering in 2022",20221214,3],["2022-12-15-developer-productivity-tools","Developer Productivity Tools and Practices for 2023",20221215,0],["2022-12-16-finops-adoption-azure","FinOps Adoption: Managing Azure Costs Effectively",20221216,3],["2022-12-17-sustainability-green-software","Green Software and Sustainability in Cloud Computing",20221217,3],["2022-12-18-serverless-benefits-2022","The Serverless Benefits Realized in 2022",20221218,3],["2022-12-19-tdd-rust","Test Driven Development in Rust",20221219,5],["2022-12-19-azure-cost-optimization-tips","Azure Cost Optimization Tips for 2023",20221219,3],["2022-12-20-reserved-capacity-planning","Reserved Capacity Planning for Azure",20221220,3],["2022-12-21-spot-instance-strategies","Azure Spot Instance Strategies for Cost Savings",20221221,3],["2022-12-22-auto-scaling-best-practices","Auto-Scaling Best Practices in Azure",20221222,3],["2022-12-27-gotenberg-aci","Create a File Converter Service in 5 minutes or less using Gotenberg and Azure Container Instances",20221223,3],["2022-12-25-tdd-typescript","Test-Driven Development in TypeScript: A Practical Guide",20221223,5],["2022-12-23-rightsizing-azure-resources","Right-Sizing Azure Resources: A Data-Driven Approach",20221223,1],["2022-12-24-holiday-tech-reading","Holiday Tech Reading List: Books for Azure and AI Enthusiasts",20221224,0],["2022-12-25-christmas-automation-gift","A Christmas Gift: Azure Automation Scripts for the New Year",20221225,3],["2022-12-26-azure-security-year-in-review","Azure Security: A Year in Review",20221226,3],["2022-12-27-infrastructure-as-code-maturity","Infrastructure as Code Maturity: Where Are You on the Journey?",20221227,3],["2022-12-28-data-engineering-patterns-2022","Data Engineering Patterns That Defined 2022",20221228,1],["2022-12-29-observability-monitoring-practices","Observability and Monitoring: Practices That Worked in 2022",20221229,3],["2022-12-30-containerization-kubernetes-lessons","Containerization and Kubernetes: Lessons Learned in 2022",20221230,3],["2022-12-31-predictions-2023-azure-ai-data","2023 Predictions: Azure, AI, and Data",20221231,0],["2023-01-01-azure-openai-service-ga-announcement","Azure OpenAI Service in Preview: What to Sort Out Before GA",20230101,0],["2023-01-02-gpt-35-on-azure","GPT-3.5 on Azure OpenAI: What You Get Before text-davinci-003",20230102,0],["2023-01-02-azurite-functions-blob","Debugging an Azure Functions Blob Trigger Locally with Azurite",20230102,3],["2023-01-03-azure-functions-redis-cache-patterns","Redis Caching Patterns in .NET 7 Isolated Azure Functions",20230103,3],["2023-01-04-lseries-tuples","Tuples in C#, TypeScript and Rust: Same Syntax, Different Rules",20230104,5],["2023-01-05-chatgpt-integration-patterns","ChatGPT-Style Chat on Azure OpenAI Without a Chat API",20230105,0],["2023-01-06-enterprise-ai-azure-openai","Locking Down an Azure OpenAI Resource: Network, Identity, Keys, Logs",20230106,0],["2023-01-07-azure-openai-vs-openai-api","Azure OpenAI vs OpenAI API: What Differs in January 2023",20230107,0],["2023-01-08-responsible-ai-azure-openai","Responsible AI on Azure OpenAI: What the Platform Covers and What You Own",20230108,0],["2023-01-09-content-filtering-azure-openai","Handling Content Filtering in the Azure OpenAI Completions API",20230109,0],["2023-01-10-rate-limiting-azure-openai","Throttling in the Azure OpenAI Preview: Pacing Per-Deployment Requests",20230110,0],["2023-01-11-token-management-azure-openai","Counting and Capping Tokens in the Azure OpenAI Preview",20230111,0],["2023-01-12-prompt-engineering-fundamentals","Prompts Are Production Code: Four Rules for Azure OpenAI Completions",20230112,0],["2023-01-13-few-shot-learning-azure-openai","Few-Shot Prompts on Azure OpenAI: Choosing and Ordering Examples",20230113,0],["2023-01-14-chain-of-thought-prompting","Chain-of-Thought Prompting on Azure OpenAI: Gains, Costs and Limits",20230114,0],["2023-01-15-system-prompts-azure-openai","No System Prompt Yet: Instruction Preambles on Azure OpenAI",20230115,0],["2023-01-16-temperature-top-p-parameters","Temperature and Top-P in Azure OpenAI: What They Actually Change",20230116,0],["2023-01-17-completion-vs-chat-apis","Completions Now, Chat Later: Keeping Azure OpenAI Code Portable",20230117,0],["2023-01-18-azure-openai-python-sdk","Azure OpenAI from Python: Setting Up the openai 0.26 Library Properly",20230118,0],["2023-01-19-azure-openai-dotnet-sdk","Calling Azure OpenAI from C# Before There's an Official .NET SDK",20230119,0],["2023-01-20-azure-openai-service-ga","Azure OpenAI Is GA: What Changed on 16 January and What Didn't",20230120,0],["2023-01-21-azure-openai-rest-api","Calling Azure OpenAI over Plain HTTP: The 2022-12-01 REST Contract",20230121,0],["2023-01-22-streaming-responses-azure-openai","Streaming Azure OpenAI Completions from the API to the Browser",20230122,0],["2023-01-23-embeddings-introduction","Text Embeddings on Azure OpenAI: What They Are and When to Use Them",20230123,0],["2023-01-24-semantic-search-embeddings","Semantic Search Prototype: Azure OpenAI Embeddings and NumPy",20230124,0],["2023-01-25-vector-databases-intro","Do You Need a Vector Database Yet? ANN Indexes and Trade-offs",20230125,0],["2023-01-26-pinecone-basics","Pinecone With Azure OpenAI Embeddings: Design the Index First",20230126,0],["2023-01-27-weaviate-basics","Weaviate 1.17 with Azure OpenAI: Bring Your Own Vectors",20230127,0],["2023-01-28-milvus-basics","Milvus 2.2 with Azure OpenAI Embeddings: A Self-Hosted Start",20230128,0],["2023-01-29-qdrant-basics","Qdrant 0.11 with Azure OpenAI: Point IDs, Payload Indexes and Filters",20230129,0],["2023-01-30-azure-cognitive-search-vectors","Azure Cognitive Search and Embeddings Before Native Vector Search",20230130,0],["2023-01-31-rag-introduction","RAG on Azure OpenAI: Grounding GPT-3 Answers in Your Own Documents",20230131,0],["2023-02-01-rag-architecture-patterns","RAG Architecture Patterns: Building Production-Ready Systems",20230201,0],["2023-02-02-document-chunking-strategies","Document Chunking Strategies for RAG Systems",20230202,0],["2023-02-03-embedding-best-practices","Embedding Best Practices for Production AI Systems",20230203,0],["2023-02-04-hybrid-search","Hybrid Search: Combining Vector and Keyword Search",20230204,0],["2023-02-05-reranking-results","Re-ranking Search Results for Better RAG Performance",20230205,0],["2023-02-06-stablecoin","Creating your own Stablecoin",20230206,4],["2023-02-07-tdd-python","TDD (Test-Driven Development) Overview with Python Example",20230207,5],["2023-02-08-ai-era","The IT Market in Decline: The Importance of Upskilling in the AI Era",20230208,0],["2023-02-09-dex-uniswap","Creating your own Decentralized Exchange like Uniswap",20230209,4],["2023-02-10-provably","Provably in Blockchain Technology: Ensuring Trust and Transparency with Cryptographic Proofs",20230210,4],["2023-02-11-graphql-ts","Getting Started with GraphQL using TypeScript",20230211,3],["2023-02-12-tdd-nextjs","TDD (Test-Driven Development) Overview with NextJS Example",20230212,5],["2023-02-13-amm-bc","Understanding Automated Market Makers - The Future of Decentralized Trading",20230213,4],["2023-02-14-langchain-introduction","LangChain Introduction: Building AI Applications with Python",20230214,0],["2023-02-15-cn-k8s","Kubernetes on Cloud with AWS, Azure, and GCP",20230215,3],["2023-02-16-semantic-kernel-introduction","Semantic Kernel Introduction: Microsoft's AI Orchestration SDK",20230216,0],["2023-02-17-semantic-kernel-plugins","Semantic Kernel Plugins: Extending AI with Custom Skills",20230217,0],["2023-02-18-semantic-kernel-planners","Semantic Kernel Planners: Automatic AI Orchestration",20230218,0],["2023-02-19-semantic-kernel-memory","Semantic Kernel Memory: Building AI with Long-Term Context",20230219,0],["2023-02-20-azure-document-intelligence","Azure AI Document Intelligence: Extracting Data from Documents",20230220,0],["2023-02-21-azure-form-recognizer-custom","Custom Models in Azure Form Recognizer for Domain-Specific Documents",20230221,0],["2023-02-22-azure-form-recognizer-prebuilt","Azure Form Recognizer Prebuilt Models: Quick Document Processing",20230222,0],["2023-02-23-layout-table-extraction","Document Layout Analysis and Table Extraction with Azure AI",20230223,0],["2023-02-24-azure-cognitive-services-updates","Azure Cognitive Services Updates: What's New in Early 2023",20230224,0],["2023-02-25-responsible-ai-tools","Responsible AI Tools and Practices for Azure Applications",20230225,0],["2023-02-26-content-safety-azure","Azure Content Safety: Protecting AI Applications from Harmful Content",20230226,0],["2023-02-27-ai-ethics-enterprise","AI Ethics in Enterprise: Building Trustworthy AI Systems",20230227,0],["2023-02-28-bias-detection-fairness","Bias Detection and Fairness Metrics for AI Systems",20230228,0],["2023-03-01-azure-openai-embeddings-semantic-search","Building Semantic Search with Azure OpenAI Embeddings",20230301,0],["2023-03-02-prompt-engineering-fundamentals","Prompt Engineering Fundamentals for Azure OpenAI",20230302,0],["2023-03-03-rag-pattern-azure-cognitive-search","Implementing RAG with Azure Cognitive Search",20230303,0],["2023-03-04-langchain-azure-openai-integration","LangChain with Azure OpenAI: Getting Started",20230304,0],["2023-03-05-azure-openai-responsible-ai","Responsible AI Practices with Azure OpenAI",20230305,0],["2023-03-06-chatgpt-plugins-architecture","Understanding ChatGPT Plugins Architecture",20230306,0],["2023-03-07-azure-cognitive-services-containers","Running Azure Cognitive Services in Containers",20230307,0],["2023-03-08-azure-form-recognizer-document-processing","Intelligent Document Processing with Azure Form Recognizer",20230308,0],["2023-03-09-vector-databases-ai-applications","Vector Databases for AI Applications",20230309,0],["2023-03-10-azure-openai-cost-optimization","Azure OpenAI Cost Optimization Strategies",20230310,0],["2023-03-11-streaming-responses-azure-openai","Streaming Responses with Azure OpenAI",20230311,0],["2023-03-12-azure-openai-enterprise-patterns","Enterprise Patterns for Azure OpenAI Applications",20230312,0],["2023-03-13-pre-gpt4-preparing-for-the-future","Preparing for GPT-4: What We Know So Far",20230313,0],["2023-03-14-gpt4-announcement-capabilities","GPT-4 Is Here: Analyzing the Announcement",20230314,0],["2023-03-15-gpt4-vs-gpt35-comparison","GPT-4 vs GPT-3.5: A Practical Comparison",20230315,0],["2023-03-16-gpt4-multimodal-capabilities","GPT-4 Multimodal: Understanding Vision Capabilities",20230316,0],["2023-03-17-gpt4-azure-openai-availability","GPT-4 on Azure OpenAI: What to Expect",20230317,0],["2023-03-18-gpt4-use-cases-enterprise","GPT-4 Enterprise Use Cases",20230318,0],["2023-03-18-gpt4-release-what-changes","GPT-4 is Here: What Changes for Enterprise AI",20230318,0],["2023-03-19-gpt4-coding-assistant-patterns","Building GPT-4 Powered Coding Assistants",20230319,0],["2023-03-20-gpt4-data-analysis-applications","GPT-4 for Data Analysis: Practical Applications",20230320,0],["2023-03-21-gpt4-writing-assistant","Building a GPT-4 Writing Assistant",20230321,0],["2023-03-22-gpt4-limitations-workarounds","GPT-4 Limitations and Workarounds",20230322,0],["2023-03-23-gpt4-token-optimization","Token Optimization Strategies for GPT-4",20230323,0],["2023-03-24-context-window-management-strategies","Context Window Management: 8K vs 32K Strategies",20230324,0],["2023-03-25-document-summarization-patterns","Document Summarization Patterns with GPT-4",20230325,0],["2023-03-26-recursive-summarization-long-documents","Recursive Summarization for Long Documents",20230326,0],["2023-03-27-map-reduce-patterns-llm","Map-Reduce Patterns for LLM Applications",20230327,0],["2023-03-28-azure-openai-fine-tuning-preview","Azure OpenAI Fine-Tuning: Preview and Patterns",20230328,0],["2023-03-29-llmops-introduction","Introduction to LLMOps: MLOps for Large Language Models",20230329,0],["2023-03-30-model-deployment-patterns-azure","Model Deployment Patterns for Azure OpenAI",20230330,0],["2023-03-31-azure-ml-openai-integration","Integrating Azure Machine Learning with Azure OpenAI",20230331,0],["2023-04-01-copilot-everywhere-microsoft-ai-strategy","Copilot Everywhere: Microsoft's AI Strategy",20230401,0],["2023-04-02-github-copilot-x-announcement","GitHub Copilot X: The Next Generation of AI-Powered Development",20230402,0],["2023-04-03-copilot-chat-developer-productivity","Copilot Chat: Transforming Developer Productivity",20230403,0],["2023-04-04-copilot-pull-requests","Copilot for Pull Requests: AI-Enhanced Code Review",20230404,0],["2023-04-05-copilot-docs-documentation-chat","Copilot for Docs: Chat With Your Documentation",20230405,0],["2023-04-06-copilot-cli-terminal-ai","Copilot CLI: AI in Your Terminal",20230406,0],["2023-04-07-microsoft-365-copilot-announcement","Microsoft 365 Copilot: AI for Every Knowledge Worker",20230407,0],["2023-04-08-power-platform-copilot","Power Platform Copilot: Low-Code Meets AI",20230408,0],["2023-04-09-dynamics-365-copilot","Dynamics 365 Copilot: AI for Business Applications",20230409,0],["2023-04-10-security-copilot-microsoft","Microsoft Security Copilot: AI-Powered Threat Defense",20230410,0],["2023-04-11-bing-chat-gpt4-integration","Bing Chat: GPT-4 Powered Search",20230411,0],["2023-04-12-edge-copilot-browser-ai","Edge Copilot: AI Built Into Your Browser",20230412,0],["2023-04-13-azure-databricks-openai-integration","Azure Databricks + OpenAI: LLMs for Data Engineering",20230413,0],["2023-04-14-llm-sql-generation","LLM-Powered SQL Generation: Patterns and Practices",20230414,0],["2023-04-15-data-analysis-ai-assistants","Building AI Data Analysis Assistants",20230415,0],["2023-04-16-notebook-ai-assistants","AI Assistants in Jupyter and Databricks Notebooks",20230416,0],["2023-04-17-code-completion-notebooks","Code Completion for Data Science Notebooks",20230417,0],["2023-04-18-azure-synapse-openai-integration","Azure Synapse Analytics + OpenAI: Intelligent Data Warehousing",20230418,0],["2023-04-19-cognitive-services-synapse","Cognitive Services in Azure Synapse: Built-in AI Capabilities",20230419,0],["2023-04-20-synapseml-distributed-ai","SynapseML: Distributed AI at Scale",20230420,0],["2023-04-21-spark-ml-patterns","Spark ML Patterns for Production Systems",20230421,0],["2023-04-22-feature-engineering-llms","Feature Engineering with LLMs: AI-Powered Feature Creation",20230422,0],["2023-04-23-ai-data-quality","AI-Powered Data Quality: Intelligent Data Validation",20230423,0],["2023-04-24-anomaly-detection-scale","Anomaly Detection at Scale with AI",20230424,0],["2023-04-25-entity-extraction-scale","Entity Extraction at Scale with LLMs",20230425,0],["2023-04-26-document-processing-pipelines","Intelligent Document Processing Pipelines with AI",20230426,0],["2023-04-27-ai-orchestration-patterns","AI Orchestration Patterns: Coordinating Multi-Model Systems",20230427,0],["2023-04-28-semantic-search-enterprise","Semantic Search for Enterprise: Beyond Keyword Matching",20230428,0],["2023-04-29-llm-caching-strategies","LLM Caching Strategies: Reducing Costs and Latency",20230429,0],["2023-04-30-building-ai-agents","Building AI Agents: From Chatbots to Autonomous Systems",20230430,0],["2023-05-01-microsoft-fabric-announcement-build-2023","Looking Ahead to Microsoft Build 2023: What to Expect for Data and AI",20230501,0],["2023-05-02-fabric-unified-analytics-platform","Understanding Microsoft Fabric as a Unified Analytics Platform",20230502,1],["2023-05-03-onelake-introduction","OneLake: The Foundation of Microsoft Fabric",20230503,1],["2023-05-04-fabric-lakehouse","Building with Fabric Lakehouse: The Best of Data Lakes and Warehouses",20230504,1],["2023-05-05-data-factory-in-fabric","Data Factory in Microsoft Fabric: Modern Data Integration",20230505,1],["2023-05-06-synapse-data-engineering-fabric","Synapse Data Engineering in Microsoft Fabric: Spark at Scale",20230506,1],["2023-05-07-synapse-data-science-fabric","Synapse Data Science in Microsoft Fabric: ML Made Simple",20230507,0],["2023-05-08-synapse-data-warehouse-fabric","Synapse Data Warehouse in Microsoft Fabric: Cloud-Native SQL Analytics",20230508,1],["2023-05-09-synapse-real-time-analytics-fabric","Synapse Real-Time Analytics in Microsoft Fabric: Streaming at Scale",20230509,1],["2023-05-10-power-bi-in-fabric","Power BI in Microsoft Fabric: Unified Business Intelligence",20230510,1],["2023-05-11-fabric-capacities","Understanding Microsoft Fabric Capacities and SKUs",20230511,1],["2023-05-12-fabric-licensing","Microsoft Fabric Licensing: Understanding Your Options",20230512,1],["2023-05-13-fabric-workspace","Microsoft Fabric Workspace: Organization and Collaboration",20230513,1],["2023-05-14-fabric-vs-synapse-comparison","Microsoft Fabric vs Azure Synapse Analytics: A Detailed Comparison",20230514,1],["2023-05-15-migration-to-fabric","Migrating to Microsoft Fabric: Strategies and Best Practices",20230515,1],["2023-05-16-azure-openai-build-2023-updates","Azure OpenAI Updates at Build 2023: What Developers Need to Know",20230516,0],["2023-05-17-chatgpt-plugins","Building Plugins for ChatGPT: Extending AI with Custom Tools",20230517,0],["2023-05-18-function-calling-preview","Mastering Function Calling in Azure OpenAI: A Deep Dive",20230518,0],["2023-05-19-azure-ai-studio-preview","Azure AI Studio Preview: The Future of AI Application Development",20230519,0],["2023-05-20-prompt-flow-ga","Prompt Flow General Availability: Building Production LLM Applications",20230520,0],["2023-05-21-azure-ml-updates-build-2023","Azure Machine Learning Updates at Build 2023",20230521,0],["2023-05-22-responsible-ai-improvements","Responsible AI Improvements in Azure: Building Trustworthy AI Systems",20230522,0],["2023-05-23-content-safety-api","Microsoft Fabric Unveiled at Build 2023: The Future of Data Analytics",20230523,1],["2023-05-24-azure-cognitive-search-vector","Azure Cognitive Search Vector Search: Building Semantic Search Applications",20230524,0],["2023-05-25-microsoft-fabric-build-2023","Microsoft Fabric: The Biggest Data Launch Since SQL Server",20230525,1],["2023-05-25-hybrid-retrieval-patterns","Hybrid Retrieval Patterns for RAG Applications",20230525,0],["2023-05-26-azure-dev-box-ga","Azure Dev Box GA: Cloud-Powered Developer Workstations",20230526,3],["2023-05-27-azure-deployment-environments","Azure Deployment Environments: Self-Service Infrastructure for Developers",20230527,3],["2023-05-28-azure-container-apps-updates","Azure Container Apps Updates: Serverless Containers at Scale",20230528,3],["2023-05-29-container-apps-jobs","Jobs in Azure Container Apps: Event-Driven Batch Processing",20230529,3],["2023-05-30-dapr-1-11-updates","Dapr 1.11: Building Distributed Applications with Ease",20230530,3],["2023-05-31-build-2023-summary","Microsoft Build 2023 Summary: The AI-Powered Future of Development",20230531,0],["2023-06-01-fabric-lakehouse-architecture","Microsoft Fabric Lakehouse Architecture: Deep Dive",20230601,1],["2023-06-02-delta-lake-in-fabric","Delta Lake in Microsoft Fabric: ACID Transactions for Data Lakes",20230602,1],["2023-06-03-onelake-shortcuts","OneLake Shortcuts: Connecting Data Without Copying",20230603,1],["2023-06-04-direct-lake-mode","Direct Lake Mode: Power BI Performance Without Import Overhead",20230604,1],["2023-06-05-semantic-models-fabric","Semantic Models in Microsoft Fabric: Building the Analytics Layer",20230605,1],["2023-06-06-fabric-notebooks","Fabric Notebooks: Interactive Data Engineering and Science",20230606,1],["2023-06-07-fabric-pipelines","Fabric Pipelines: Orchestrating Data Workflows",20230607,1],["2023-06-08-dataflows-gen2","Dataflows Gen2: Low-Code Data Transformation in Fabric",20230608,1],["2023-06-09-fabric-mirroring","Fabric Mirroring: Real-Time Database Replication",20230609,1],["2023-06-10-fabric-git-integration","Fabric Git Integration: Version Control for Your Data Platform",20230610,1],["2023-06-11-fabric-deployment-pipelines","Fabric Deployment Pipelines: Promoting Content Across Environments",20230611,1],["2023-06-12-fabric-monitoring","Fabric Monitoring: Observability for Your Data Platform",20230612,1],["2023-06-13-fabric-capacity-metrics","Fabric Capacity Metrics: Understanding and Optimizing Consumption",20230613,1],["2023-06-14-fabric-security","Microsoft Fabric Security: Protecting Your Data Platform",20230614,1],["2023-06-15-workspace-roles","Fabric Workspace Roles: Managing Access and Collaboration",20230615,1],["2023-06-16-item-permissions","Item Permissions in Fabric: Granular Access Control",20230616,1],["2023-06-17-row-level-security-fabric","Row-Level Security in Fabric: Data Access at the Row Level",20230617,1],["2023-06-18-azure-openai-function-calling-patterns","Azure OpenAI Function Calling Patterns: Building Intelligent Agents",20230618,0],["2023-06-19-building-ai-agents","Building AI Agents: From Chatbots to Autonomous Assistants",20230619,0],["2023-06-20-tool-use-patterns","Tool Use Patterns for AI Agents: Effective Function Design",20230620,0],["2023-06-21-multi-turn-conversations","Multi-Turn Conversations: Managing State in AI Applications",20230621,0],["2023-06-22-conversation-management","Conversation Management: Building Production Chat Systems",20230622,0],["2023-06-23-context-pruning","Context Pruning: Managing Token Limits in LLM Applications",20230623,0],["2023-06-24-token-budgeting","Token Budgeting: Cost-Effective LLM Applications",20230624,0],["2023-06-25-caching-strategies-llm","Caching Strategies for LLM Applications",20230625,0],["2023-06-26-response-streaming","Response Streaming: Real-Time LLM Output",20230626,0],["2023-06-27-error-handling-ai","Error Handling for AI Applications: Building Resilient Systems",20230627,0],["2023-06-28-retry-strategies","Retry Strategies for AI Applications",20230628,0],["2023-06-29-fallback-patterns","Fallback Patterns for AI Applications",20230629,0],["2023-06-30-circuit-breakers-ai","Circuit Breakers for AI Applications: Preventing Cascade Failures",20230630,0],["2023-07-01-microsoft-fabric-public-preview","Microsoft Fabric Public Preview: What You Need to Know",20230701,1],["2023-07-02-getting-started-with-fabric","Getting Started with Microsoft Fabric: A Practical Guide",20230702,1],["2023-07-03-fabric-trial-experience","Microsoft Fabric Trial: What You Get and How to Maximize It",20230703,1],["2023-07-04-fabric-workspace-setup","Fabric Workspace Setup: Organization and Best Practices",20230704,1],["2023-07-05-onelake-explorer","OneLake Explorer: Navigating Your Data Lake in Fabric",20230705,1],["2023-07-06-lakehouse-creation","Creating Your First Fabric Lakehouse: Step-by-Step Guide",20230706,1],["2023-07-07-delta-tables-in-fabric","Delta Tables in Microsoft Fabric: Deep Dive",20230707,1],["2023-07-08-spark-in-fabric","Apache Spark in Microsoft Fabric: Getting Started",20230708,1],["2023-07-09-fabric-notebooks-features","Fabric Notebooks: Features and Productivity Tips",20230709,1],["2023-07-10-data-wrangling-in-fabric","Data Wrangling in Microsoft Fabric: Practical Techniques",20230710,1],["2023-07-11-fabric-data-factory","Fabric Data Factory: Data Integration Reimagined",20230711,1],["2023-07-12-copy-activity-in-fabric","Copy Activity in Fabric: Data Movement Patterns",20230712,1],["2023-07-13-dataflow-gen2","Dataflow Gen2: Power Query Transformations in Fabric",20230713,1],["2023-07-14-data-pipelines","Fabric Data Pipelines: Orchestration Patterns",20230714,1],["2023-07-15-fabric-warehouse","Fabric Warehouse: Cloud-Native SQL Analytics",20230715,1],["2023-07-16-tsql-in-fabric","T-SQL in Fabric: Patterns and Best Practices",20230716,1],["2023-07-17-cross-database-queries","Cross-Database Queries in Fabric: Unified Data Access",20230717,1],["2023-07-18-query-insights","Query Insights in Fabric: Monitoring and Optimization",20230718,1],["2023-07-19-fabric-real-time-analytics","Fabric Real-Time Analytics: Stream Processing at Scale",20230719,1],["2023-07-20-kql-databases","KQL Databases: Advanced Patterns and Techniques",20230720,1],["2023-07-21-eventstreams","Eventstreams in Fabric: Streaming Data Ingestion",20230721,1],["2023-07-22-real-time-dashboards","Real-Time Dashboards in Fabric: Live Data Visualization",20230722,1],["2023-07-23-fabric-data-science","Fabric Data Science: ML Workflows in the Modern Data Platform",20230723,0],["2023-07-24-ml-models-in-fabric","ML Models in Fabric: Training, Registry, and Deployment",20230724,0],["2023-07-25-mlflow-in-fabric","MLflow in Fabric: Experiment Tracking and Model Management",20230725,0],["2023-07-26-experiments-tracking","Experiment Tracking in Fabric: Best Practices and Patterns",20230726,0],["2023-07-27-azure-openai-code-interpreter","Azure OpenAI Code Interpreter: AI-Powered Data Analysis",20230727,0],["2023-07-28-chatgpt-code-interpreter","ChatGPT Code Interpreter: Data Analysis for Everyone",20230728,0],["2023-07-29-data-analysis-with-ai","Data Analysis with AI: Practical Patterns and Techniques",20230729,0],["2023-07-30-visualization-with-ai","AI-Powered Visualization: Creating Charts with Natural Language",20230730,0],["2023-07-31-file-processing-with-ai","File Processing with AI: Automating Data Workflows",20230731,0],["2023-08-01-llm-fine-tuning-strategies","LLM Fine-Tuning Strategies: When and How to Customize Models",20230801,0],["2023-08-02-lora-and-qlora","LoRA and QLoRA: Efficient Fine-Tuning for Large Language Models",20230802,0],["2023-08-03-parameter-efficient-fine-tuning","Parameter-Efficient Fine-Tuning: A Comprehensive Guide",20230803,0],["2023-08-04-peft-libraries","PEFT Libraries: Practical Tools for Efficient Fine-Tuning",20230804,0],["2023-08-05-huggingface-azure","Hugging Face + Azure: Running Open Source Models in the Cloud",20230805,0],["2023-08-06-model-hub","Hugging Face Model Hub: Finding and Using Pre-trained Models",20230806,0],["2023-08-07-transformers-library","Transformers Library: The Swiss Army Knife of NLP",20230807,0],["2023-08-08-accelerate-library","Accelerate Library: Distributed Training Made Simple",20230808,5],["2023-08-09-onnx-runtime","ONNX Runtime: Optimizing Model Inference",20230809,5],["2023-08-10-model-optimization","Model Optimization Techniques for Production Deployment",20230810,0],["2023-08-11-quantization-basics","Quantization Basics: Reducing Model Size and Improving Speed",20230811,0],["2023-08-12-int8-quantization","INT8 Quantization: Practical Implementation Guide",20230812,5],["2023-08-13-model-distillation","Model Distillation: Creating Efficient Student Models",20230813,0],["2023-08-14-knowledge-distillation","Knowledge Distillation: Advanced Techniques and Applications",20230814,0],["2023-08-15-small-language-models","Small Language Models: When Bigger Isn't Better",20230815,0],["2023-08-16-efficient-inference","Efficient Inference: Optimizing LLM Response Times",20230816,0],["2023-08-17-batching-strategies","Batching Strategies for LLM Inference",20230817,0],["2023-08-18-gpu-optimization","GPU Optimization for LLM Workloads",20230818,0],["2023-08-19-azure-ml-compute","Azure ML Compute: Choosing the Right Infrastructure",20230819,0],["2023-08-20-spot-instances-for-ml","Spot Instances for ML: Cost-Effective Training at Scale",20230820,0],["2023-08-21-cost-optimization-for-ai","Cost Optimization for AI Workloads",20230821,0],["2023-08-21-father-figure","The Importance of a Father Figure",20230821,5],["2023-08-22-azure-openai-quotas","Azure OpenAI Quotas: Understanding and Managing Limits",20230822,0],["2023-08-23-rate-limit-management","Rate Limit Management for AI APIs",20230823,0],["2023-08-24-token-estimation","Token Estimation: Predicting API Costs",20230824,0],["2023-08-25-prompt-compression","Prompt Compression: Reducing Token Usage",20230825,0],["2023-08-26-semantic-compression","Semantic Compression: Preserving Meaning with Fewer Tokens",20230826,0],["2023-08-27-context-caching","Context Caching for LLM Applications",20230827,0],["2023-08-28-conversation-summarization","Conversation Summarization: Managing Long Chat Histories",20230828,0],["2023-08-29-memory-management","Memory Management for LLM Applications",20230829,0],["2023-08-30-langchain-updates","LangChain Updates: New Features and Improvements",20230830,0],["2023-08-31-vector-store-integrations","Vector Store Integrations: Choosing and Using Vector Databases",20230831,0],["2023-09-01-azure-openai-gpt4-turbo-preview","Semantic Kernel: Building AI-Powered Applications with .NET",20230901,0],["2023-09-02-gpt4-128k-context-window","Maximizing GPT-4's Context Window: Patterns for Large Document Processing",20230902,0],["2023-09-03-gpt4v-vision-preview","LangChain with Azure OpenAI: Building Production AI Applications",20230903,0],["2023-09-04-image-understanding-gpt4v","Azure Cognitive Services for Computer Vision: Current Capabilities",20230904,0],["2023-09-05-multimodal-applications-azure","Building Document Intelligence Solutions with Azure Form Recognizer",20230905,0],["2023-09-06-dalle3-integration-azure","Image Generation with DALL-E 2 on Azure OpenAI Service",20230906,0],["2023-09-07-image-generation-patterns","Prompt Engineering Patterns for AI Image Generation",20230907,0],["2023-09-08-azure-ai-vision-updates","Azure AI Services Updates: Vision, Speech, and Language Capabilities",20230908,0],["2023-09-09-florence-models-azure","Azure AI Model Catalog: Exploring Foundation Models",20230909,0],["2023-09-10-custom-vision-updates","Azure Custom Vision Updates: Enhanced Model Training and Deployment",20230910,0],["2023-09-11-video-analysis-azure-ai","Video Analysis with Azure AI: Frame-by-Frame Intelligence",20230911,0],["2023-09-12-azure-ai-speech-updates","Azure AI Speech Updates: Enhanced Recognition and Synthesis",20230912,0],["2023-09-13-speech-to-text-improvements","Speech-to-Text Improvements in Azure AI: Accuracy and Performance",20230913,0],["2023-09-14-custom-neural-voice","Custom Neural Voice in Azure AI: Creating Unique Voice Experiences",20230914,0],["2023-09-15-voice-cloning-ethics","Voice Cloning Ethics: Responsible Use of Custom Neural Voice",20230915,0],["2023-09-16-real-time-transcription","Real-Time Transcription with Azure AI Speech",20230916,0],["2023-09-17-meeting-summarization","Meeting Summarization with Azure AI",20230917,0],["2023-09-18-azure-ai-language-updates","Azure AI Language Updates: New NLP Capabilities",20230918,0],["2023-09-19-custom-text-classification","Custom Text Classification with Azure AI Language",20230919,0],["2023-09-20-custom-ner-azure","Custom Named Entity Recognition with Azure AI Language",20230920,0],["2023-09-21-summarization-api-azure","Text Summarization API in Azure AI Language",20230921,0],["2023-09-22-microsoft-fabric-updates","Microsoft Fabric Updates: Unified Analytics Platform",20230922,0],["2023-09-23-fabric-copilot-preview","Fabric Copilot Preview: AI-Assisted Analytics",20230923,0],["2023-09-24-ai-in-fabric","AI Integration in Microsoft Fabric",20230924,0],["2023-09-25-data-science-fabric","Data Science Workflows in Microsoft Fabric",20230925,0],["2023-09-26-semantic-link-fabric","Semantic Link in Microsoft Fabric: Connecting Data and Analytics",20230926,1],["2023-09-27-sempy-library","SemPy Library: Python for Semantic Models in Fabric",20230927,1],["2023-09-28-predict-function-fabric","The PREDICT Function in Microsoft Fabric",20230928,0],["2023-09-29-ml-model-deployment-fabric","ML Model Deployment Patterns in Microsoft Fabric",20230929,0],["2023-09-30-fabric-best-practices","Microsoft Fabric Best Practices: Lessons Learned",20230930,1],["2023-10-01-langchain-expression-language","LangChain Expression Language (LCEL): A Practical Guide",20231001,0],["2023-10-02-lcel-patterns","LCEL Design Patterns for Production LLM Applications",20231002,0],["2023-10-03-runnable-interfaces","Understanding Runnable Interfaces in LangChain",20231003,0],["2023-10-04-chain-composition","Chain Composition in LangChain: Building Complex Workflows",20231004,0],["2023-10-05-parallel-execution-langchain","Parallel Execution in LangChain: Optimizing LLM Applications",20231005,0],["2023-10-06-langsmith-introduction","LangSmith Introduction: Observability for LLM Applications",20231006,0],["2023-10-07-tracing-debugging-llm","Tracing and Debugging LLM Applications",20231007,0],["2023-10-08-evaluation-frameworks-llm","Evaluation Frameworks for LLM Applications",20231008,0],["2023-10-09-llm-evaluation-metrics","LLM Evaluation Metrics: Measuring What Matters",20231009,0],["2023-10-10-human-feedback-llm","Human Feedback in LLM Development",20231010,0],["2023-10-11-rlhf-concepts","RLHF Concepts: Reinforcement Learning from Human Feedback",20231011,0],["2023-10-12-dpo-training","Direct Preference Optimization (DPO): A Simpler Alternative to RLHF",20231012,0],["2023-10-13-constitutional-ai","Constitutional AI: Self-Supervised Alignment",20231013,0],["2023-10-14-ai-safety-fundamentals","AI Safety Fundamentals for LLM Applications",20231014,0],["2023-10-15-prompt-injection-defense","Prompt Injection Defense: Protecting LLM Applications",20231015,0],["2023-10-16-jailbreak-prevention","Jailbreak Prevention Strategies for LLM Applications",20231016,0],["2023-10-17-input-validation-llm","Input Validation for LLM Applications",20231017,0],["2023-10-18-output-filtering-llm","Output Filtering for LLM Applications",20231018,0],["2023-10-19-azure-ai-content-safety","Azure AI Content Safety: Comprehensive Content Moderation",20231019,0],["2023-10-20-content-moderation-patterns","Content Moderation Patterns for AI Applications",20231020,0],["2023-10-21-harmful-content-detection","Harmful Content Detection in AI Applications",20231021,0],["2023-10-22-pii-detection","PII Detection and Protection in AI Applications",20231022,0],["2023-10-23-groundedness-detection","Groundedness Detection for LLM Responses",20231023,0],["2023-10-24-hallucination-mitigation","Hallucination Mitigation Strategies for LLM Applications",20231024,0],["2023-10-25-rag-improvements","RAG Improvements: Advanced Retrieval Techniques",20231025,0],["2023-10-26-chunking-strategies","Document Chunking Strategies for RAG Systems",20231026,0],["2023-10-27-where-should-i-publish-my-contents","Where should I publish my contents?",20231026,5],["2023-10-27-parent-child-retrieval","Parent-Child Retrieval for RAG Systems",20231027,0],["2023-10-28-sentence-window-retrieval","Sentence Window Retrieval for RAG Applications",20231028,0],["2023-10-29-auto-merge-retrieval","Auto-Merge Retrieval for RAG Systems",20231029,0],["2023-10-30-serverless-ai-azure-functions-cognitive-services","Step-by-Step Guide for Implementing a Serverless AI Solution Using Azure Functions and Azure Cognitive Services",20231030,0],["2023-10-30-recursive-retrieval","Recursive Retrieval for Complex RAG Queries",20231030,0],["2023-10-30-azure-ml-vs-cognitive-services","Key Differences Between Azure Machine Learning and Azure Cognitive Services",20231030,0],["2023-10-31-multi-index-rag","Multi-Index RAG: Querying Across Multiple Knowledge Sources",20231031,0],["2023-11-01-openai-devday-announcements","Azure OpenAI Enterprise Patterns: Lessons from Production Deployments",20231101,0],["2023-11-02-gpt4-turbo-deep-dive","Prompt Engineering Mastery: Advanced Techniques for GPT-4",20231102,0],["2023-11-03-gpt4-vision-multimodal-ai","Building Intelligent Document Processing with Azure AI Services",20231103,0],["2023-11-04-openai-assistants-api-guide","Building RAG Applications with Azure Cognitive Search and OpenAI",20231104,0],["2023-11-05-custom-gpts-no-code-ai","LLM Application Testing: Strategies and Frameworks",20231105,0],["2023-11-06-gpt-store-marketplace-ai","OpenAI DevDay 2023: Revolutionary Announcements for AI Developers",20231106,0],["2023-11-07-json-mode-structured-outputs","JSON Mode: Reliable Structured Outputs from GPT-4",20231107,0],["2023-11-08-seed-parameter-reproducible-outputs","Seed Parameter: Achieving Reproducible LLM Outputs",20231108,0],["2023-11-09-function-calling-improvements","Enhanced Function Calling in GPT-4 Turbo",20231109,0],["2023-11-10-microsoft-fabric-ga","Microsoft Fabric GA: The Unified Data Platform Revolution",20231110,1],["2023-11-11-fabric-licensing-capacity","Microsoft Fabric Licensing and Capacity Planning Guide",20231111,1],["2023-11-12-fabric-governance-security","Fabric Governance: Building a Secure Data Platform",20231112,1],["2023-11-13-fabric-domains-organization","Fabric Domains: Organizing Your Data Mesh",20231113,1],["2023-11-14-fabric-endorsement-certification","Fabric Endorsement: Certifying Trusted Data Products",20231114,1],["2023-11-15-data-lineage-fabric","Data Lineage in Microsoft Fabric: Tracking Data Flow",20231115,1],["2023-11-16-fabric-purview-integration","Microsoft Purview and Fabric: Enterprise Data Governance",20231116,1],["2023-11-17-copilot-fabric-ga","Copilot in Microsoft Fabric: AI-Powered Analytics",20231117,0],["2023-11-18-microsoft-fabric-ga-ignite","Microsoft Fabric is GA: What We Learned from Six Months of Preview",20231118,1],["2023-11-18-azure-ai-studio-updates","Azure AI Studio: Building Enterprise AI Applications",20231118,0],["2023-11-19-azure-model-catalog","Azure Model Catalog: Choosing the Right AI Model",20231119,0],["2023-11-20-mistral-models-azure","Mistral 7B on Azure: Exploring Open-Source LLM Deployment",20231120,0],["2023-11-21-llama2-azure-deployment","Llama 2 on Azure: Meta's Open-Source Models in Production",20231121,0],["2023-11-22-open-source-llm-comparison","Open Source LLMs: Comparing Llama, Mistral, and Beyond",20231122,0],["2023-11-23-llm-benchmarking-methodology","LLM Benchmarking: Evaluating Models for Your Use Case",20231123,0],["2023-11-24-azure-openai-assistants-api","Azure OpenAI Assistants API: Enterprise AI Agents",20231124,0],["2023-11-25-assistants-threads-messages","Assistants API Deep Dive: Threads and Messages",20231125,0],["2023-11-26-assistants-file-handling","Assistants API: File Handling and Knowledge Retrieval",20231126,0],["2023-11-27-code-interpreter-data-analysis","Code Interpreter: AI-Powered Data Analysis",20231127,0],["2023-11-28-assistants-retrieval-tool","Assistants Retrieval Tool: Building Knowledge Assistants",20231128,0],["2023-11-29-ai-year-review-2023-part1","2023 AI Year in Review: The Year Everything Changed (Part 1)",20231129,0],["2023-11-30-ai-year-review-2023-part2","2023 AI Year in Review: Microsoft's AI Transformation (Part 2)",20231130,0],["2023-12-01-genai-impact-assessment","GenAI Impact Assessment: Measuring Real Business Value",20231201,0],["2023-12-02-ai-adoption-patterns","AI Adoption Patterns: What Separates Success from Failure",20231202,0],["2023-12-03-enterprise-ai-lessons","Enterprise AI Lessons: What We Learned in 2023",20231203,0],["2023-12-04-ai-governance-frameworks","AI Governance Frameworks: Building Trust at Scale",20231204,0],["2023-12-05-ai-risk-management","AI Risk Management: Identifying and Mitigating AI Risks",20231205,0],["2023-12-06-model-risk-management","Model Risk Management for Large Language Models",20231206,0],["2023-12-07-operational-risk-ai","Operational Risk in AI Systems: Keeping the Lights On",20231207,0],["2023-12-08-ai-compliance-considerations","AI Compliance Considerations: Navigating the Regulatory Landscape",20231208,0],["2023-12-09-gdpr-and-ai","GDPR and AI: Practical Compliance for ML Systems",20231209,0],["2023-12-10-eu-ai-act-implications","EU AI Act: Preparing for the World's First AI Law",20231210,0],["2023-12-11-responsible-ai-practices","Responsible AI Practices: Building Ethical AI Systems",20231211,0],["2023-12-12-ai-transparency-requirements","AI Transparency: Building Understandable AI Systems",20231212,0],["2023-12-13-ai-explainability-requirements","AI Explainability: Making the Black Box Transparent",20231213,0],["2023-12-14-fabric-adoption-strategies","Microsoft Fabric Adoption: Strategies for Success",20231214,1],["2023-12-15-fabric-migration-stories","Fabric Migration Stories: Real-World Experiences",20231215,1],["2023-12-16-fabric-best-practices","Microsoft Fabric Best Practices for Production",20231216,1],["2023-12-17-fabric-architecture-patterns","Fabric Architecture Patterns: Designing for Scale",20231217,1],["2023-12-18-lakehouse-vs-warehouse","Lakehouse vs Warehouse in Fabric: Making the Right Choice",20231218,1],["2023-12-19-fabric-when-to-use-what","Fabric Components: When to Use What",20231219,1],["2023-12-20-fabric-performance-tuning","Fabric Performance Tuning: Optimizing Your Data Platform",20231220,1],["2023-12-21-direct-lake-optimization","Direct Lake Optimization: Maximizing Power BI Performance",20231221,1],["2023-12-22-v-order-optimization","V-Order Optimization: Deep Dive into Fabric's Secret Weapon",20231222,1],["2023-12-23-query-performance-fabric","Query Performance Optimization in Microsoft Fabric",20231223,1],["2023-12-24-fabric-capacity-management","Fabric Capacity Management: Right-Sizing Your Platform",20231224,1],["2023-12-25-fabric-cost-optimization","Cost Optimization in Microsoft Fabric",20231225,1],["2023-12-26-2024-predictions-ai","2024 Predictions: The Year Ahead in AI and Data",20231226,0],["2023-12-27-ai-trends-to-watch","AI Trends to Watch in 2024",20231227,0],["2023-12-28-data-platform-evolution","Data Platform Evolution: Where We're Heading",20231228,1],["2023-12-29-platform-engineering-trends","Platform Engineering Trends: Building Internal Data Platforms",20231229,1],["2023-12-30-2023-summary-key-takeaways","2023 Summary: Key Takeaways for Data and AI Professionals",20231230,0],["2023-12-31-goodbye-2023-hello-2024","Goodbye 2023, Hello 2024: What's Next in AI and Data",20231231,0],["2024-01-01-ai-predictions-2024","Enterprise AI in 2024: Five Bets Against What Is GA on Azure",20240101,0],["2024-01-02-gpt4-turbo-production","Shipping on GPT-4 Turbo Preview in Azure OpenAI: A Production Checklist",20240102,0],["2024-01-03-assistants-api-patterns","Assistants API Runs in Production: Polling, Tool Calls and Expiry",20240103,0],["2024-01-04-building-ai-assistants","Owning the Loop: AI Assistant Architecture on Chat Completions",20240104,0],["2024-01-05-personal-wkm","Capture, Plan, Execute, Refine: My Knowledge Work System",20240105,5],["2024-01-05-custom-gpts-enterprise","Governing Custom GPTs in ChatGPT Enterprise Before the Store Opens",20240105,0],["2024-01-06-rag-architecture-maturity","A RAG Maturity Model: Diagnosing Where Your System Falls Short",20240106,0],["2024-01-07-advanced-chunking-strategies","Structure-Aware Chunking for RAG: Headings, Tables and Breadcrumbs",20240107,0],["2024-01-08-agentic-rag-patterns","Self-Correcting RAG: Grade Retrieval Before You Answer",20240108,0],["2024-01-09-multi-agent-systems","When to Split One AI Agent into Several: A Supervisor Pattern",20240109,0],["2024-01-10-autogen-introduction","AutoGen 0.2 on Azure OpenAI: Termination, Code Execution and Tools",20240110,0],["2024-01-11-crewai-introduction","CrewAI 0.1 on Azure OpenAI: Roles, Tasks and Current Limits",20240111,0],["2024-01-12-agent-frameworks-comparison","LangChain, AutoGen, CrewAI or Semantic Kernel? Choosing in January 2024",20240112,0],["2024-01-13-microsoft-fabric-updates","Fabric's December 2023 Update: What I'd Act On in January",20240113,1],["2024-01-14-fabric-capacity-management","Fabric Throttling Explained: Reading Carryforward Before Users Do",20240114,1],["2024-01-15-fabric-performance-tuning","Tracing a Slow Fabric Report Back Through Every Layer",20240115,1],["2024-01-16-onelake-optimization","Laying Out OneLake: Workspaces, Lakehouses and Shortcuts",20240116,1],["2024-01-17-direct-lake-best-practices","Designing a Gold Layer and Semantic Model That Stay in Direct Lake",20240117,1],["2024-01-18-fabric-realtime-intelligence","Fabric Real-Time Analytics After GA: An End-to-End Streaming Design",20240118,1],["2024-01-19-eventstreams-patterns","Fabric Eventstream Patterns: Deciding Where Stream Logic Lives",20240119,1],["2024-01-20-kql-realtime-analytics","Keeping KQL Fast on Streaming Data: Query Habits That Matter",20240120,1],["2024-01-21-reflex-alerts","Designing Reflex Triggers in Data Activator Without Alert Spam",20240121,1],["2024-01-22-data-activator-preview","Data Activator Preview Readiness: Limits, Admin Settings and Risks",20240122,1],["2024-01-23-azure-ai-search-updates","Azure AI Search After Ignite 2023: What's GA and What's Still Preview",20240123,0],["2024-01-24-integrated-vectorization","Integrated Vectorization in Azure AI Search: What It Does and Doesn't Do",20240124,0],["2024-01-25-semantic-ranker","Azure AI Search Semantic Ranker: Configuration, Thresholds and Cost",20240125,0],["2024-01-26-vector-compression","Keeping Azure AI Search Vector Indexes Small Without Compression",20240126,0],["2024-01-27-hybrid-search-optimization","Tuning Hybrid Search in Azure AI Search: What RRF Lets You Change",20240127,0],["2024-01-28-search-index-management","Azure AI Search Index Operations: Schema Changes, Rebuilds and Aliases",20240128,0],["2024-01-29-index-projections","Azure AI Search Index Projections: Keys, Deletes and Chunk Order",20240129,0],["2024-01-30-azure-ml-updates","Azure ML in Early 2024: What Went GA at Ignite and What to Adopt",20240130,0],["2024-01-31-ml-feature-engineering","Leakage-Safe Feature Engineering with scikit-learn Pipelines",20240131,0],["2024-02-01-gemini-vs-gpt-comparison","Gemini vs GPT: Practical Comparison for Enterprise Applications",20240201,0],["2024-02-02-claude-vs-gpt-comparison","Claude vs GPT: Choosing the Right LLM for Your Application",20240202,0],["2024-02-03-multi-llm-strategies","Multi-LLM Strategies: Building Resilient AI Applications",20240203,0],["2024-02-04-llm-routing","LLM Routing: Intelligent Model Selection for Cost and Quality",20240204,0],["2024-02-05-model-selection-criteria","LLM Model Selection Criteria: A Decision Framework",20240205,0],["2024-02-06-cost-optimization-llms","Cost Optimization for LLMs: Strategies That Work",20240206,0],["2024-02-07-token-cost-analysis","Token Cost Analysis: Understanding and Managing LLM Expenses",20240207,0],["2024-02-08-caching-cost-reduction","Caching Strategies for LLM Cost Reduction",20240208,0],["2024-02-09-prompt-caching","Prompt Caching: Reducing Latency and Cost for Repetitive Contexts",20240209,0],["2024-02-10-semantic-caching","Semantic Caching: Intelligent Response Reuse for LLMs",20240210,0],["2024-02-11-azure-openai-ptu","Azure OpenAI PTU: Provisioned Throughput Units Explained",20240211,0],["2024-02-12-provisioned-throughput","Provisioned Throughput Deep Dive: Architecture and Implementation",20240212,0],["2024-02-13-capacity-planning-ai","Capacity Planning for AI Workloads: A Practical Guide",20240213,0],["2024-02-14-gpt4-vision-patterns","GPT-4 Vision Patterns: Building Visual AI Applications",20240214,0],["2024-02-15-fabric-data-engineering-best-practices","Microsoft Fabric Data Engineering: Best Practices After 6 Months in Production",20240215,1],["2024-02-15-document-understanding","Document Understanding with AI: From Images to Insights",20240215,0],["2024-02-16-invoice-processing","AI-Powered Invoice Processing: End-to-End Implementation",20240216,0],["2024-02-17-receipt-analysis","Receipt Analysis with AI: Expense Management Automation",20240217,0],["2024-02-18-multi-image-analysis","Multi-Image Analysis with GPT-4 Vision",20240218,0],["2024-02-19-video-understanding","Video Understanding with AI: Frame Analysis and Summarization",20240219,0],["2024-02-20-azure-ai-vision-updates","Azure AI Vision Updates: New Features for 2024",20240220,0],["2024-02-21-sora-announcement-impact","Sora Announcement Impact: What OpenAI's Video Model Means for Enterprise",20240221,0],["2024-02-22-text-to-video-implications","Text-to-Video AI: Implications for Content Creation",20240222,0],["2024-02-23-ai-video-generation","AI Video Generation: Current Tools and Techniques",20240223,0],["2024-02-24-dalle3-patterns","DALL-E 3 Patterns: Effective Image Generation for Enterprise",20240224,0],["2024-02-25-image-generation-enterprise","Image Generation for Enterprise: Governance and Best Practices",20240225,0],["2024-02-26-ai-art-ethics","AI Art Ethics: Navigating the Moral Landscape",20240226,0],["2024-02-27-copyright-considerations","Copyright Considerations for AI-Generated Content",20240227,0],["2024-02-28-watermarking-ai-content","Watermarking AI-Generated Content: Techniques and Standards",20240228,0],["2024-02-29-ai-content-detection","AI Content Detection: Tools and Techniques",20240229,0],["2024-03-01-claude-3-announcement","Anticipating Claude 3: What We Know So Far",20240301,0],["2024-03-02-claude-3-opus-vs-gpt-4","Claude 2.1 vs GPT-4: A Technical Comparison While We Await Claude 3",20240302,0],["2024-03-03-claude-3-sonnet-and-haiku","Model Selection Strategies: Right-Sizing Your AI Workloads",20240303,0],["2024-03-04-multi-provider-ai-strategy","Claude 3 Released: Anthropic's Most Capable AI Model Family",20240304,0],["2024-03-05-azure-ai-model-catalog-updates","Azure AI Model Catalog: March 2024 Updates",20240305,0],["2024-03-06-mistral-large-on-azure","Mistral Large on Azure: Getting Started Guide",20240306,0],["2024-03-07-cohere-on-azure","Cohere on Azure: Enterprise Search and RAG Solutions",20240307,0],["2024-03-08-meta-llama-2-70b","Meta Llama 2 70B on Azure: Open Source Power",20240308,0],["2024-03-09-open-source-vs-proprietary-llms","Open Source vs Proprietary LLMs: Making the Right Choice",20240309,0],["2024-03-10-model-fine-tuning-comparison","Model Fine-Tuning Comparison: OpenAI vs Azure vs Open Source",20240310,0],["2024-03-11-azure-openai-fine-tuning-ga","Azure OpenAI Fine-Tuning GA: Production-Ready Customization",20240311,0],["2024-03-12-custom-model-deployment","Custom Model Deployment on Azure: From Training to Production",20240312,0],["2024-03-13-model-evaluation-frameworks","Model Evaluation Frameworks: A Comprehensive Guide",20240313,0],["2024-03-14-llm-benchmarking","LLM Benchmarking: Understanding Model Performance",20240314,0],["2024-03-15-mmlu-scores-explained","MMLU Scores Explained: What They Really Mean",20240315,0],["2024-03-16-human-eval-metrics","HumanEval Metrics: Measuring Code Generation Quality",20240316,0],["2024-03-17-task-specific-evaluation","Task-Specific Evaluation for LLMs: Beyond Generic Benchmarks",20240317,0],["2024-03-18-rag-evaluation","RAG Evaluation: Measuring Retrieval-Augmented Generation Quality",20240318,0],["2024-03-19-ragas-framework","RAGAS Framework: Automated RAG Evaluation",20240319,0],["2024-03-20-retrieval-metrics","Retrieval Metrics for RAG: A Deep Dive",20240320,0],["2024-03-21-generation-metrics","Generation Metrics for RAG: Measuring Answer Quality",20240321,0],["2024-03-22-faithfulness-scoring","Faithfulness Scoring in RAG: Detecting Hallucinations",20240322,0],["2024-03-23-answer-relevancy","Answer Relevancy in RAG: Does the Response Address the Question?",20240323,0],["2024-03-24-context-precision","Context Precision in RAG: Evaluating Retrieval Quality",20240324,0],["2024-03-25-context-recall","Context Recall in RAG: Are You Finding All Relevant Documents?",20240325,0],["2024-03-26-end-to-end-evaluation","End-to-End RAG Evaluation: Complete System Assessment",20240326,0],["2024-03-27-ab-testing-ai-features","A/B Testing AI Features: Data-Driven Model Selection",20240327,0],["2024-03-28-feature-flags-for-ai","Feature Flags for AI: Controlling AI Rollouts",20240328,0],["2024-03-29-gradual-rollout","Gradual Rollout Strategies for AI Features",20240329,0],["2024-03-30-monitoring-ai-systems","Monitoring AI Systems in Production",20240330,0],["2024-03-31-march-2024-ai-recap","March 2024 AI Recap: Claude 3, Model Evaluation, and RAG Advances",20240331,0],["2024-04-01-microsoft-fabric-updates","Microsoft Fabric April 2024 Updates: What's New",20240401,1],["2024-04-02-fabric-copilot-improvements","Fabric Copilot Improvements: Smarter AI Assistance",20240402,0],["2024-04-03-natural-language-to-sql","Natural Language to SQL: Building Intelligent Query Interfaces",20240403,0],["2024-04-04-data-analysis-with-copilot","Data Analysis with Copilot: AI-Powered Insights",20240404,0],["2024-04-05-report-generation","Automated Report Generation with AI",20240405,0],["2024-04-06-fabric-git-integration","Fabric Git Integration: Version Control for Analytics",20240406,1],["2024-04-07-fabric-cicd","Fabric CI/CD: Building Deployment Pipelines",20240407,1],["2024-04-08-fabric-rest-apis","Fabric REST APIs: Programmatic Control of Your Analytics Platform",20240408,1],["2024-04-09-fabric-sdk","Fabric SDK: Python Development for Microsoft Fabric",20240409,1],["2024-04-10-automation-in-fabric","Automation in Fabric: Scheduling and Orchestration",20240410,1],["2024-04-11-power-bi-updates","Power BI April 2024 Updates: AI-Powered Analytics",20240411,0],["2024-04-12-copilot-in-power-bi","Copilot in Power BI: AI-Assisted Report Building",20240412,0],["2024-04-13-smart-narratives","Smart Narratives in Power BI: Automated Data Storytelling",20240413,0],["2024-04-14-qa-improvements","Q&A Improvements in Power BI: Natural Language Analytics",20240414,0],["2024-04-15-natural-language-queries","Natural Language Queries for Data: Beyond Simple Q&A",20240415,0],["2024-04-16-auto-generated-insights","Auto-Generated Insights: AI-Driven Data Discovery",20240416,0],["2024-04-17-azure-databricks-updates","Azure Databricks April 2024 Updates: AI and Analytics Convergence",20240417,0],["2024-04-18-databricks-ai-bi","Databricks AI/BI: Intelligent Analytics Platform",20240418,0],["2024-04-19-genie-spaces","Databricks Genie Spaces: Natural Language Data Exploration",20240419,0],["2024-04-20-dashboards-in-databricks","Dashboards in Databricks: Building Data Applications",20240420,1],["2024-04-21-sql-ai-functions","SQL AI Functions in Databricks: LLMs Meet SQL",20240421,0],["2024-04-22-ai-query-function","The ai_query Function: Custom LLM Calls in Databricks SQL",20240422,0],["2024-04-23-vector-search-in-databricks","Vector Search in Databricks: Semantic Search at Scale",20240423,0],["2024-04-24-databricks-vector-search","Databricks Vector Search Deep Dive: Production Patterns",20240424,0],["2024-04-25-unity-catalog-ml","Unity Catalog for ML: Governed Machine Learning",20240425,0],["2024-04-26-feature-engineering","Feature Engineering in Databricks: From Raw Data to ML Features",20240426,0],["2024-04-27-online-feature-serving","Online Feature Serving in Databricks: Real-Time ML Features",20240427,0],["2024-04-28-model-serving-updates","Databricks Model Serving Updates: April 2024",20240428,0],["2024-04-29-serverless-model-serving","Serverless Model Serving: Pay-Per-Request ML Inference",20240429,0],["2024-04-30-foundation-model-apis","Foundation Model APIs in Databricks: Enterprise LLM Access",20240430,0],["2024-05-01-gpt4o-announcement-microsoft-build","Microsoft Build 2024 Preview: What to Expect for AI",20240501,0],["2024-05-02-gpt4o-omni-model-capabilities","The Future of Multimodal AI: What's Next After GPT-4 Vision",20240502,0],["2024-05-03-gpt4o-realtime-voice","Building Voice AI Applications with Azure OpenAI",20240503,0],["2024-05-04-gpt4o-realtime-vision","GPT-4o Real-Time Vision: Processing Images at Scale",20240504,0],["2024-05-05-gpt4o-multimodal-conversations","Multimodal Conversations with GPT-4o",20240505,0],["2024-05-06-azure-openai-gpt4o-deployment","Deploying GPT-4o on Azure OpenAI Service",20240506,0],["2024-05-07-gpt4o-cost-reduction-strategies","Cost Reduction Strategies with GPT-4o",20240507,0],["2024-05-08-gpt4o-speed-improvements","GPT-4o Speed Improvements: Building Low-Latency Applications",20240508,0],["2024-05-09-microsoft-copilot-plus-pcs","The Rise of AI PCs: NPUs and Local AI Processing",20240509,0],["2024-05-10-npu-ai-pc-development","NPU Development for AI PCs: A Deep Dive",20240510,0],["2024-05-11-local-ai-models-on-device","Local AI Models: Running Intelligence On-Device",20240511,0],["2024-05-12-phi3-family-small-language-models","Phi-3 Family: Microsoft's Small Language Models",20240512,0],["2024-05-13-small-language-models-enterprise","GPT-4o Released: OpenAI's Fastest and Most Capable Multimodal Model",20240513,0],["2024-05-14-edge-ai-deployment-strategies","Edge AI Deployment: Taking Models to the Data",20240514,0],["2024-05-15-onnx-runtime-cross-platform","ONNX Runtime: Cross-Platform AI Deployment",20240515,0],["2024-05-15-gpt4o-omni-multimodal-ai","GPT-4o: Multimodal AI Gets Real-Time",20240515,0],["2024-05-16-directml-windows-ai","DirectML: Hardware-Accelerated AI on Windows",20240516,0],["2024-05-17-windows-ai-recall-feature","Windows AI Recall: Photographic Memory for Your PC",20240517,0],["2024-05-18-azure-ai-studio-updates","Azure AI Studio Updates at Build 2024",20240518,0],["2024-05-19-prompt-flow-improvements","Prompt Flow Improvements: Building Production AI Pipelines",20240519,0],["2024-05-20-evaluation-improvements-azure-ai","Evaluation Improvements in Azure AI Studio",20240520,0],["2024-05-21-tracing-debugging-ai-apps","Tracing and Debugging AI Applications",20240521,0],["2024-05-22-azure-ai-agent-service-preview","Azure AI Agent Service Preview: Building Intelligent Agents",20240522,0],["2024-05-23-building-ai-agents","Building AI Agents: From Simple to Sophisticated",20240523,0],["2024-05-24-agent-orchestration-patterns","Agent Orchestration Patterns for Production",20240524,0],["2024-05-25-tool-use-patterns-agents","Tool Use Patterns for AI Agents",20240525,0],["2024-05-26-code-execution-ai-agents","Code Execution in AI Agents: Safe and Effective Patterns",20240526,0],["2024-05-27-file-handling-ai-agents","File Handling in AI Agents",20240527,0],["2024-05-28-memory-state-ai-agents","Memory and State Management in AI Agents",20240528,0],["2024-05-29-multi-agent-architectures","Multi-Agent Architectures: Collaboration at Scale",20240529,0],["2024-05-30-ai-agent-best-practices","AI Agent Best Practices: Lessons from Production",20240530,0],["2024-05-31-build-2024-ai-recap","Microsoft Build 2024 AI Recap: What It Means for Developers",20240531,0],["2024-06-01-microsoft-fabric-updates-june","Microsoft Fabric June 2024 Updates: Real-Time Intelligence GA",20240601,1],["2024-06-02-eventhouses-fabric","Eventhouses in Microsoft Fabric: Deep Dive",20240602,1],["2024-06-03-kql-querysets-fabric","KQL Querysets in Microsoft Fabric",20240603,1],["2024-06-04-realtime-dashboards-fabric","Real-Time Dashboards in Microsoft Fabric",20240604,1],["2024-06-05-data-activator-ga","Data Activator GA: Automated Actions from Data",20240605,1],["2024-06-06-reflex-triggers-automation","Reflex Triggers: Building Automated Data Workflows",20240606,1],["2024-06-07-automated-actions-fabric","Automated Actions in Microsoft Fabric",20240607,1],["2024-06-08-fabric-copilot-updates","Fabric Copilot Updates: AI-Powered Data Analytics",20240608,0],["2024-06-09-copilot-notebooks-fabric","Copilot for Notebooks: AI-Assisted Data Engineering",20240609,0],["2024-06-10-copilot-sql-fabric","Copilot for SQL in Microsoft Fabric Data Warehouse",20240610,0],["2024-06-11-fabric-admin-updates","Fabric Admin Updates: Governance and Management",20240611,1],["2024-06-12-capacity-management-fabric","Capacity Management in Microsoft Fabric",20240612,1],["2024-06-13-tenant-settings-fabric","Tenant Settings in Microsoft Fabric",20240613,1],["2024-06-14-workspace-governance-fabric","Workspace Governance in Microsoft Fabric",20240614,1],["2024-06-15-data-mesh-fabric","Data Mesh with Microsoft Fabric",20240615,1],["2024-06-16-domain-driven-design-data","Domain-Driven Design for Data",20240616,1],["2024-06-17-federated-governance","Federated Governance in Data Mesh",20240617,1],["2024-06-18-data-products-fabric","Building Data Products in Microsoft Fabric",20240618,1],["2024-06-19-data-contracts","Data Contracts: Agreements Between Data Producers and Consumers",20240619,1],["2024-06-20-api-first-data","API-First Data: Treating Data as a Service",20240620,1],["2024-06-21-data-marketplace","Building a Data Marketplace in Microsoft Fabric",20240621,1],["2024-06-22-data-sharing-fabric","Data Sharing Patterns in Microsoft Fabric",20240622,1],["2024-06-23-external-data-access-fabric","External Data Access Patterns in Microsoft Fabric",20240623,1],["2024-06-24-security-fundamentals-fabric","Security Fundamentals in Microsoft Fabric",20240624,1],["2024-06-25-sensitivity-labels-fabric","Sensitivity Labels and Data Classification in Microsoft Fabric",20240625,1],["2024-06-26-data-loss-prevention-fabric","Data Loss Prevention in Microsoft Fabric",20240626,1],["2024-06-27-conditional-access-fabric","Conditional Access Policies for Microsoft Fabric",20240627,1],["2024-06-28-network-security-fabric","Network Security in Microsoft Fabric",20240628,1],["2024-06-29-private-endpoints-fabric","Private Endpoints Deep Dive for Microsoft Fabric",20240629,1],["2024-06-30-fabric-june-recap","Microsoft Fabric June 2024: Month in Review",20240630,1],["2024-07-01-claude-35-sonnet-release","Claude 3.5 Sonnet: Anthropic's New Benchmark in AI",20240701,0],["2024-07-02-claude-35-vs-gpt4o-comparison","Claude 3.5 Sonnet vs GPT-4o: A Technical Comparison",20240702,0],["2024-07-03-claude-artifacts-feature","Claude Artifacts: Interactive AI-Generated Content",20240703,0],["2024-07-04-anthropic-on-azure","Anthropic Models Coming to Azure: What It Means",20240704,0],["2024-07-05-multi-model-orchestration","Multi-Model Orchestration: Using Multiple LLMs Effectively",20240705,0],["2024-07-06-llm-routing-strategies","LLM Routing Strategies for Production Systems",20240706,0],["2024-07-07-cost-based-llm-routing","Cost-Based LLM Routing: Optimizing AI Spend",20240707,0],["2024-07-08-quality-based-llm-routing","Quality-Based LLM Routing: Maximizing Output Quality",20240708,0],["2024-07-09-latency-based-llm-routing","Latency-Based LLM Routing: Real-Time AI Applications",20240709,0],["2024-07-10-semantic-router-llm","Semantic Router: Intent-Based LLM Routing",20240710,0],["2024-07-11-langchain-updates-july-2024","LangChain Updates: What's New in July 2024",20240711,0],["2024-07-12-langgraph-introduction","LangGraph Introduction: Building Stateful AI Agents",20240712,0],["2024-07-13-graph-based-ai-agents","Graph-Based AI Agents: Design Patterns and Architecture",20240713,0],["2024-07-14-stateful-ai-agents","Stateful AI Agents: Managing Context and Memory",20240714,0],["2024-07-15-conditional-edges-langgraph","Conditional Edges in LangGraph: Dynamic Agent Flows",20240715,0],["2024-07-16-cycles-in-agent-graphs","Cycles in Agent Graphs: Iterative Refinement Patterns",20240716,0],["2024-07-17-human-in-the-loop-agents","Human-in-the-Loop AI Agents: Building Trust Through Oversight",20240717,0],["2024-07-18-agent-memory-patterns","Agent Memory Patterns: Beyond Simple Context",20240718,0],["2024-07-19-short-term-agent-memory","Short-Term Agent Memory: Context Window Management",20240719,0],["2024-07-20-long-term-agent-memory","Long-Term Agent Memory: Persistent Knowledge Storage",20240720,0],["2024-07-21-episodic-memory-agents","Episodic Memory for AI Agents: Learning from Experiences",20240721,0],["2024-07-22-semantic-memory-agents","Semantic Memory for AI Agents: Knowledge Representation",20240722,0],["2024-07-23-procedural-memory-agents","Procedural Memory for AI Agents: Learning How To Do Things",20240723,0],["2024-07-24-memory-consolidation-agents","Memory Consolidation for AI Agents: From Short-Term to Long-Term",20240724,0],["2024-07-25-azure-ai-search-updates","Azure AI Search Updates: What's New in Summer 2024",20240725,0],["2024-07-26-improved-vector-search-azure","Improved Vector Search in Azure AI Search: Deep Dive",20240726,0],["2024-07-27-binary-vectors-quantization","Binary Vectors and Quantization in Azure AI Search",20240727,0],["2024-07-28-scalar-quantization-vectors","Scalar Quantization for Vector Search: A Practical Guide",20240728,0],["2024-07-29-product-quantization-vectors","Product Quantization for Extreme-Scale Vector Search",20240729,0],["2024-07-30-hnsw-tuning-azure-search","HNSW Tuning for Azure AI Search: A Practical Guide",20240730,0],["2024-07-31-filtered-vector-search","Filtered Vector Search in Azure AI Search: Best Practices",20240731,0],["2024-08-01-microsoft-fabric-updates-august","Microsoft Fabric Updates: August 2024 Highlights",20240801,1],["2024-08-02-fabric-mirroring-ga","Fabric Mirroring GA: Real-Time Database Replication",20240802,1],["2024-08-03-azure-sql-mirroring-fabric","Azure SQL Mirroring to Fabric: Complete Setup Guide",20240803,1],["2024-08-04-cosmos-db-mirroring-fabric","Cosmos DB Mirroring to Fabric: Analytical Queries at Scale",20240804,1],["2024-08-05-snowflake-mirroring-fabric","Snowflake Mirroring to Fabric: Cross-Cloud Data Integration",20240805,1],["2024-08-06-open-mirroring-fabric","Open Mirroring in Fabric: Build Custom Data Sources",20240806,1],["2024-08-07-real-time-sync-patterns","Real-Time Sync Patterns in Microsoft Fabric",20240807,1],["2024-08-08-cdc-in-fabric","Change Data Capture in Microsoft Fabric",20240808,1],["2024-08-09-data-virtualization-fabric","Data Virtualization in Microsoft Fabric",20240809,1],["2024-08-10-lakehouse-federation","Lakehouse Federation in Microsoft Fabric",20240810,1],["2024-08-11-cross-cloud-analytics","Cross-Cloud Analytics with Microsoft Fabric",20240811,1],["2024-08-12-fabric-and-databricks","Microsoft Fabric and Databricks: Coexistence Strategies",20240812,1],["2024-08-13-onelake-interoperability","OneLake Interoperability: Connecting Your Data Ecosystem",20240813,1],["2024-08-14-delta-lake-everywhere","Delta Lake Everywhere: The Universal Table Format",20240814,1],["2024-08-15-parquet-optimization","Parquet File Optimization for Analytics",20240815,1],["2024-08-16-file-compaction-strategies","File Compaction Strategies in Delta Lake",20240816,1],["2024-08-17-optimized-writes-delta","Optimized Writes in Delta Lake",20240817,1],["2024-08-18-vorder-benefits","V-Order: Microsoft Fabric's Performance Optimization",20240818,1],["2024-08-19-zorder-vs-vorder","Z-Order vs V-Order: Choosing the Right Data Ordering",20240819,1],["2024-08-20-query-performance-tuning","Query Performance Tuning in Microsoft Fabric",20240820,1],["2024-08-21-spark-optimization-fabric","Spark Optimization in Microsoft Fabric",20240821,1],["2024-08-22-native-execution-engine","Native Execution Engine in Microsoft Fabric",20240822,1],["2024-08-23-fabric-capacity-optimization","Microsoft Fabric Capacity Optimization",20240823,1],["2024-08-24-autoscale-fabric","Autoscale in Microsoft Fabric",20240824,1],["2024-08-25-smoothing-bursting-fabric","Understanding Smoothing and Bursting in Fabric",20240825,1],["2024-08-26-cost-management-fabric","Cost Management in Microsoft Fabric",20240826,1],["2024-08-27-finops-for-fabric","FinOps for Microsoft Fabric",20240827,1],["2024-08-28-chargeback-models-fabric","Chargeback Models for Microsoft Fabric",20240828,1],["2024-08-29-cost-allocation-fabric","Cost Allocation Strategies for Microsoft Fabric",20240829,1],["2024-08-30-usage-reporting-fabric","Usage Reporting in Microsoft Fabric",20240830,1],["2024-08-31-fabric-governance-summary","Microsoft Fabric Governance: A Complete Guide",20240831,1],["2024-09-01-o1-preview-announcement","The Future of Reasoning in AI: What's Coming Next",20240901,0],["2024-09-02-reasoning-models-explained","Understanding Reasoning in AI: From Pattern Matching to Problem Solving",20240902,0],["2024-09-03-chain-of-thought-in-models","Chain-of-Thought Prompting: Improving AI Reasoning Today",20240903,0],["2024-09-04-o1-vs-gpt4o-comparison","Choosing the Right Model: GPT-4o vs Claude 3.5 Sonnet for Different Tasks",20240904,0],["2024-09-05-when-to-use-o1","When to Use o1: A Decision Guide for AI Applications",20240905,0],["2024-09-06-thinking-tokens-explained","Thinking Tokens: Understanding o1's Hidden Reasoning Process",20240906,0],["2024-09-07-complex-problem-solving-with-o1","Complex Problem Solving with o1: Practical Patterns",20240907,0],["2024-09-08-multi-step-reasoning-patterns","Multi-Step Reasoning Patterns with o1",20240908,0],["2024-09-09-mathematical-reasoning-with-o1","Mathematical Reasoning with o1: From Basics to Proofs",20240909,0],["2024-09-10-coding-with-o1","Advanced Coding Techniques with GPT-4o and Claude 3.5 Sonnet",20240910,0],["2024-09-11-azure-openai-o1-preview","Advanced Reasoning Techniques on Azure OpenAI",20240911,0],["2024-09-12-openai-api-updates-september","OpenAI API Updates: September 2024 Changes You Need to Know",20240912,0],["2024-09-13-structured-outputs-openai","Structured Outputs: Reliable JSON from OpenAI Models",20240913,0],["2024-09-14-json-schema-enforcement","JSON Schema Enforcement in LLM Applications",20240914,0],["2024-09-15-pydantic-integration-openai","Pydantic Integration with OpenAI: Type-Safe AI Development",20240915,0],["2024-09-16-type-safe-ai-applications","Building Type-Safe AI Applications: From Prompts to Production",20240916,0],["2024-09-17-reliable-data-extraction","Reliable Data Extraction with LLMs: Patterns and Practices",20240917,0],["2024-09-18-function-calling-updates","Function Calling Updates: What's New in September 2024",20240918,0],["2024-09-19-parallel-function-calling","Parallel Function Calling: Execute Multiple Tools Simultaneously",20240919,0],["2024-09-20-tool-choice-control","Tool Choice Control: Fine-Tuning When and How AI Uses Tools",20240920,0],["2024-09-21-agent-reliability-patterns","Agent Reliability Patterns: Building Robust AI Systems",20240921,0],["2024-09-21-leveraging-azure-openai-with-claude-dev-and-continue-in-vscode","Leveraging Azure OpenAI with Claude Dev and Continue in VSCode",20240921,0],["2024-09-22-error-handling-llm-applications","Error Handling in LLM Applications: A Comprehensive Guide",20240922,0],["2024-09-23-retry-strategies-ai-applications","Retry Strategies for AI Applications: Beyond Simple Backoff",20240923,0],["2024-09-24-fallback-patterns","Fallback Patterns for AI Applications: Ensuring Continuity",20240924,0],["2024-09-25-graceful-degradation-ai","Graceful Degradation in AI Systems: Maintaining Service Quality",20240925,0],["2024-09-26-circuit-breakers-ai-systems","Circuit Breakers for AI Systems: Preventing Cascade Failures",20240926,0],["2024-09-27-timeout-management-ai","Timeout Management in AI Applications: Balancing Speed and Completeness",20240927,0],["2024-09-28-rate-limit-handling","Rate Limit Handling: Maximizing Throughput Within Constraints",20240928,0],["2024-09-29-quota-management","Quota Management: Controlling AI Resource Consumption",20240929,0],["2024-09-30-cost-controls-ai-applications","Cost Controls for AI Applications: Budgeting and Optimization",20240930,0],["2024-10-01-claude-computer-use-preview","Claude Computer Use Preview: AI That Can Control Your Desktop",20241001,0],["2024-10-02-agentic-capabilities-ai","Agentic AI Capabilities: From Chatbots to Autonomous Agents",20241002,0],["2024-10-03-ui-automation-with-ai","UI Automation with AI: Beyond Traditional Scripting",20241003,0],["2024-10-04-browser-automation-ai","Browser Automation with AI: Intelligent Web Navigation",20241004,0],["2024-10-05-desktop-automation-ai","Desktop Automation with AI: Controlling Any Application",20241005,0],["2024-10-06-tool-use-evolution","The Evolution of Tool Use in AI: From Functions to Computer Control",20241006,0],["2024-10-07-agent-safety-patterns","Agent Safety Patterns: Building Trustworthy AI Systems",20241007,0],["2024-10-08-sandboxing-ai-agents","Sandboxing AI Agents: Isolation and Containment Strategies",20241008,0],["2024-10-09-agent-permission-models","Permission Models for AI Agents: Fine-Grained Access Control",20241009,0],["2024-10-10-audit-logging-ai-agents","Audit Logging for AI Agents: Complete Activity Tracking",20241010,0],["2024-10-11-agent-observability","Agent Observability: Monitoring AI Systems in Production",20241011,0],["2024-10-12-tracing-frameworks-ai","Tracing Frameworks for AI: Distributed Tracing in LLM Applications",20241012,0],["2024-10-13-opentelemetry-for-ai","OpenTelemetry for AI: Standard Observability for LLM Applications",20241013,0],["2024-10-14-llm-observability-tools","LLM Observability Tools: Comparing the Landscape",20241014,0],["2024-10-15-langsmith-alternatives","LangSmith Alternatives: Choosing the Right LLM Observability Platform",20241015,0],["2024-10-16-weights-and-biases-llm","Weights and Biases for LLM Applications: Complete Guide",20241016,0],["2024-10-17-mlflow-tracing-llm","MLflow Tracing for LLM Applications: Open Source Observability",20241017,0],["2024-10-18-phoenix-observability","Phoenix Observability: Local-First LLM Tracing",20241018,0],["2024-10-19-arize-ai-production","Arize AI for Production LLM Monitoring",20241019,0],["2024-10-20-custom-observability-llm","Building Custom LLM Observability: DIY Solutions",20241020,0],["2024-10-21-microsoft-fabric-updates-october","Microsoft Fabric Updates: October 2024 Announcements",20241021,1],["2024-10-22-fabric-databases-preview","Fabric Databases Preview: Relational Databases in Microsoft Fabric",20241022,1],["2024-10-23-sql-database-in-fabric","SQL Database in Microsoft Fabric: Deep Dive",20241023,1],["2024-10-24-postgresql-in-fabric","PostgreSQL in Microsoft Fabric: What to Expect",20241024,1],["2024-10-25-htap-patterns-fabric","HTAP Patterns in Microsoft Fabric: Unifying Transactions and Analytics",20241025,1],["2024-10-26-transactional-analytical-unified","Unifying Transactional and Analytical Workloads in Fabric",20241026,1],["2024-10-27-unified-data-platform","Building a Unified Data Platform with Microsoft Fabric",20241027,1],["2024-10-28-fabric-architecture-evolution","Microsoft Fabric Architecture Evolution: Past, Present, and Future",20241028,1],["2024-10-29-fabric-roadmap","Microsoft Fabric Roadmap: What's Coming in 2024-2025",20241029,1],["2024-10-30-fabric-certification-prep","Microsoft Fabric Certification Prep: Getting Ready for DP-600",20241030,1],["2024-10-31-dp600-exam-overview","DP-600 Exam Overview: Implementing Analytics Solutions Using Microsoft Fabric",20241031,1],["2024-11-01-azure-openai-november-updates","Azure OpenAI November 2024 Updates: What's New for Enterprise AI",20241101,0],["2024-11-02-gpt4o-fine-tuning-enterprise","GPT-4o Fine-Tuning for Enterprise: A Practical Guide",20241102,0],["2024-11-03-openai-o1-reasoning-models","OpenAI o1 Reasoning Models: A New Paradigm for Complex Problem Solving",20241103,0],["2024-11-04-gpt5-speculation-enterprise","GPT-5 Speculation: What Enterprise AI Teams Should Prepare For",20241104,0],["2024-11-05-azure-ai-foundry-deep-dive","Azure AI Foundry Deep Dive: Building Enterprise AI Applications",20241105,0],["2024-11-06-ai-app-development-platform","Building AI Applications: Choosing the Right Platform and Architecture",20241106,0],["2024-11-07-model-catalog-updates","Azure AI Model Catalog: Exploring the Latest Model Options",20241107,0],["2024-11-08-serverless-fine-tuning","Serverless Fine-Tuning in Azure AI: Customizing Models Without Infrastructure",20241108,0],["2024-11-09-custom-model-deployment","Custom Model Deployment on Azure: From Fine-Tuning to Production",20241109,0],["2024-11-10-azure-ai-agent-service","Azure AI Agent Service: Building Autonomous AI Agents",20241110,0],["2024-11-11-multi-agent-framework","Multi-Agent Frameworks: Orchestrating AI Agent Collaboration",20241111,0],["2024-11-12-agent-templates","AI Agent Templates: Quick Start Patterns for Enterprise Use Cases",20241112,0],["2024-11-13-enterprise-agent-patterns","Enterprise Agent Patterns: Security, Governance, and Scale",20241113,0],["2024-11-14-microsoft-copilot-updates","Microsoft Copilot Updates: What's New for Enterprise Users",20241114,0],["2024-11-15-copilot-studio-deep-dive","Copilot Studio Deep Dive: Building Custom AI Assistants",20241115,0],["2024-11-16-copilot-actions-connectors","Copilot Actions and Connectors: Extending AI Capabilities",20241116,0],["2024-11-17-copilot-microsoft-365","Copilot for Microsoft 365: Transforming Enterprise Productivity",20241117,0],["2024-11-18-copilot-agents-declarative","Copilot Agents: Declarative and Custom Engine Approaches",20241118,0],["2024-11-19-microsoft-fabric-ignite-updates","Microsoft Fabric at Ignite 2024: What's New for Data Professionals",20241119,1],["2024-11-20-fabric-ai-skills","Microsoft Fabric AI Skills: Natural Language Analytics",20241120,0],["2024-11-21-fabric-analytics-agents","Fabric Analytics Agents: Automated Data Analysis",20241121,0],["2024-11-22-azure-ai-foundry-ignite-2024","Azure AI Foundry: Microsoft's Unified Platform for Enterprise AI",20241122,0],["2024-11-23-eventstream-enhancements","Fabric Eventstream Enhancements: Real-Time Data at Scale",20241123,1],["2024-11-24-real-time-ai","Real-Time AI in Microsoft Fabric: Patterns and Practices",20241124,0],["2024-11-25-streaming-ml","Streaming Machine Learning: Training and Inference on Real-Time Data",20241125,0],["2024-11-26-online-inference","Online Inference Patterns: Low-Latency ML Predictions at Scale",20241126,0],["2024-11-27-ignite-2024-recap","Microsoft Ignite 2024 Recap: Key Announcements for Data and AI",20241127,0],["2024-11-28-fabric-copilot-studio-integration","Fabric and Copilot Studio Integration: Building Data-Driven AI Assistants",20241128,0],["2024-11-29-onelake-ai-workloads","OneLake AI Workloads: Running AI Directly on Your Data Lake",20241129,0],["2024-11-30-november-wrapup","November 2024 Wrap-Up: A Transformative Month for Enterprise AI",20241130,0],["2024-12-01-ai-year-in-review-2024","2024 AI Year in Review: The Year Enterprise AI Became Real",20241201,0],["2024-12-02-biggest-ai-breakthroughs","The Biggest AI Breakthroughs of 2024",20241202,0],["2024-12-03-enterprise-ai-adoption","Enterprise AI Adoption: Patterns, Challenges, and Success Factors",20241203,0],["2024-12-04-ai-roi-analysis","AI ROI Analysis: Measuring the Real Value of Enterprise AI",20241204,0],["2024-12-05-ai-project-learnings","AI Project Learnings: What Actually Works in Practice",20241205,0],["2024-12-06-production-ai-challenges","Production AI Challenges: What They Don't Tell You in Tutorials",20241206,0],["2024-12-07-scaling-ai-systems","Scaling AI Systems: From Prototype to Enterprise",20241207,0],["2024-12-08-ai-infrastructure-evolution","AI Infrastructure Evolution: From GPUs to AI-Native Platforms",20241208,0],["2024-12-09-gpu-availability-2024","GPU Availability in 2024: Navigating the AI Compute Crunch",20241209,0],["2024-12-10-inference-optimization","Inference Optimization: Making AI Fast and Cost-Effective",20241210,0],["2024-12-11-ai-cost-trends","AI Cost Trends: The Economics of Enterprise AI in 2024",20241211,0],["2024-12-12-open-source-ai-progress","Open Source AI Progress: The Democratization of Foundation Models",20241212,0],["2024-12-13-model-commoditization","Model Commoditization: When AI Models Become Utilities",20241213,0],["2024-12-14-ai-safety-progress","AI Safety Progress: From Research to Practice",20241214,0],["2024-12-15-ai-regulation-updates","AI Regulation Updates: Navigating the 2024 Regulatory Landscape",20241215,0],["2024-12-16-eu-ai-act-practical-guide","EU AI Act Practical Guide: What Enterprises Need to Do Now",20241216,0],["2024-12-17-ai-governance-frameworks","AI Governance Frameworks: Building Responsible AI at Scale",20241217,0],["2024-12-18-fabric-year-review","Microsoft Fabric Year in Review: From GA to Enterprise Standard",20241218,1],["2024-12-19-fabric-adoption-patterns","Fabric Adoption Patterns: Lessons from Enterprise Implementations",20241219,1],["2024-12-20-data-platform-trends","Data Platform Trends: What Shaped 2024 and What's Coming",20241220,1],["2024-12-21-analytics-modernization","Analytics Modernization: From Legacy BI to AI-Powered Insights",20241221,0],["2024-12-22-dataops-maturity","DataOps Maturity: Building Reliable Data Operations",20241222,1],["2024-12-23-mlops-maturity","MLOps Maturity: Productionizing Machine Learning",20241223,0],["2024-12-24-llmops-emergence","LLMOps Emergence: Operating Large Language Models in Production",20241224,0],["2024-12-25-platform-engineering","Platform Engineering for Data and AI: Building Internal Developer Platforms",20241225,0],["2024-12-26-developer-experience","Developer Experience for Data and AI Teams",20241226,0],["2024-12-27-ai-assisted-development","AI-Assisted Development: How AI is Changing How We Build",20241227,0],["2024-12-28-2025-predictions","2025 Predictions: What's Next for Data and AI",20241228,0],["2024-12-29-whats-next-for-ai","What's Next for AI: The Road from Here",20241229,0],["2024-12-30-future-data-platforms","The Future of Data Platforms: Where We're Headed",20241230,1],["2024-12-31-year-end-reflections","Year-End Reflections: Lessons from 2024 and Intentions for 2025",20241231,5],["2025-01-01-ai-agents-2025-the-year-of-autonomous-systems","AI Agents in 2025: What You Can Actually Ship on Day One",20250101,0],["2025-01-02-multi-agent-orchestration-patterns","Multi-Agent Orchestration: Pick the Pattern Before the Framework",20250102,0],["2025-01-03-agentic-workflows-beyond-chatbots","Agentic Workflows That Survive Restarts with Durable Functions",20250103,0],["2025-01-04-gpt-5-predictions-what-to-expect","GPT-5 in January 2025: Reading the Signals Instead of Guessing",20250104,0],["2025-01-05-claude-4-speculation-anthropics-next-move","Claude 4 Speculation: What to Plan For While Anthropic Is Quiet",20250105,0],["2025-01-06-gemini-2-updates-google-ai-evolution","Gemini 2.0 Flash Experimental: What It Means for Azure-First Teams",20250106,0],["2025-01-07-model-context-protocol-mcp-explained","Model Context Protocol Six Weeks In: What It Is and Where It Fits",20250107,0],["2025-01-08-ai-safety-research-2025-priorities","AI Safety Research in 2025: What Builders Should Act On Now",20250108,0],["2025-01-09-reasoning-models-o1-o3-evolution","o1 Is GA, o3 Is Announced: Reasoning Models in January 2025",20250109,0],["2025-01-10-microsoft-fabric-2025-roadmap","Planning Fabric Work for 2025: What's GA, Preview, and Worth Waiting On",20250110,0],["2025-01-11-fabric-ai-features-copilot-deep-dive","Reviewing Copilot Output in Fabric: A Workload-by-Workload Guide",20250111,0],["2025-01-12-real-time-analytics-fabric-patterns","Where Streaming Logic Belongs in Fabric: Eventstream, KQL or Spark",20250112,1],["2025-01-13-data-mesh-implementation-guide","Rolling Out a Data Mesh on Fabric: A Phased Plan for 2025",20250113,1],["2025-01-14-azure-ai-foundry-getting-started","Azure AI Foundry from Python: A Data Team's First Project",20250114,0],["2025-01-15-ai-application-patterns-2025","Five LLM Application Patterns, From Least to Most Autonomy",20250115,0],["2025-01-16-prompt-engineering-2025-techniques","Prompting in 2025: What Changes with o1 and Structured Outputs",20250116,0],["2025-01-17-rag-2-0-advanced-retrieval-patterns","RAG Beyond Top-K: Retrieval Upgrades Worth Making in January 2025",20250117,0],["2025-01-18-graphrag-knowledge-graphs-llm","GraphRAG 1.x: When Global Search Justifies the Indexing Bill",20250118,0],["2025-01-19-semantic-layer-with-ai","Natural Language over a Power BI Model: Let the LLM Pick, Not Write",20250119,0],["2025-01-20-ai-assisted-data-modeling","Drafting a Star Schema with GPT-4o and Structured Outputs",20250120,0],["2025-01-21-dbt-with-ai-code-generation","Generating dbt Models with Azure OpenAI: Let dbt Be the Judge",20250121,0],["2025-01-22-data-quality-automation-ai","LLM-Drafted Data Quality Rules: Let the Model Propose, Not Enforce",20250122,0],["2025-01-23-testing-data-pipelines-ai","LLM-Drafted Tests for PySpark: The Model Writes, pytest Judges",20250123,0],["2025-01-24-documentation-with-ai","LLM-Drafted Data Dictionaries: Profile First, Describe Second",20250124,0],["2025-01-25-azure-openai-best-practices","Azure OpenAI in Production, January 2025: Let the Platform Do the Work",20250125,0],["2025-01-26-vector-databases-azure-comparison","Where Should Your Vectors Live on Azure? Search Index vs Database",20250126,0],["2025-01-27-hybrid-search-implementation","Hybrid Search in PostgreSQL: pgvector, Full-Text and RRF in One Query",20250127,0],["2025-01-28-multimodal-rag-implementation","Multimodal RAG on Azure: Caption PDF Figures Before You Embed Them",20250128,0],["2025-01-29-vision-language-models-practical-guide","Reading Charts and Dashboards with GPT-4o: What to Trust",20250129,0],["2025-01-30-audio-ai-applications","Turning Call Recordings into Data with Azure AI Speech and GPT-4o",20250130,0],["2025-01-31-realtime-ai-streaming-inference","LLMs on an Event Hubs Stream: Tiered Triage with Azure Functions",20250131,0],["2025-02-01-event-driven-ai-architectures","Event-Driven AI: Building Reactive Intelligent Systems",20250201,0],["2025-02-02-ai-in-data-pipelines","AI in Data Pipelines: Intelligent ETL and Data Processing",20250202,0],["2025-02-03-fabric-and-ai-integration","Microsoft Fabric and AI Integration: Complete Guide",20250203,0],["2025-02-04-build-2025-preview-expectations","Microsoft Build 2025 Preview: What to Expect for Data and AI",20250204,0],["2025-02-05-next-gen-copilot-features","Next-Gen Copilot Features: What's Coming in 2025",20250205,0],["2025-02-06-windows-ai-evolution","Windows AI Evolution: NPU, Recall, and On-Device Intelligence",20250206,0],["2025-02-07-edge-ai-improvements","Edge AI Improvements: Deploying Intelligence at the Data Source",20250207,0],["2025-02-08-on-device-models-deployment","On-Device Models: Deploying AI Without the Cloud",20250208,0],["2025-02-09-phi-model-family-guide","Phi Model Family: Microsoft's Small Language Models Guide",20250209,0],["2025-02-10-slm-vs-llm-strategies","SLM vs LLM: Choosing the Right Model Size Strategy",20250210,0],["2025-02-11-efficient-inference-optimization","Efficient Inference: Optimization Techniques for Production AI",20250211,0],["2025-02-12-model-optimization-techniques","Model Optimization Techniques: From Training to Deployment",20250212,0],["2025-02-13-azure-ai-updates-february","Azure AI Updates: What's New in February 2025",20250213,0],["2025-02-14-vector-database-evolution-2025","Vector Database Evolution: What's Changing in 2025",20250214,0],["2025-02-15-hybrid-search-improvements","Hybrid Search Improvements: Latest Techniques for Better Retrieval",20250215,0],["2025-02-16-multimodal-rag-advances","Multimodal RAG Advances: Images, Documents, and Beyond",20250216,0],["2025-02-17-vision-language-models-production","Vision-Language Models in Production: Practical Implementation Guide",20250217,0],["2025-02-18-audio-ai-updates-2025","Audio AI Updates 2025: Speech Recognition and Synthesis Advances",20250218,0],["2025-02-19-realtime-ai-patterns","Real-Time AI Patterns: Building Low-Latency Intelligent Systems",20250219,0],["2025-02-20-streaming-inference-patterns","Streaming Inference Patterns: Processing Data as It Flows",20250220,0],["2025-02-21-event-driven-ai-integration","Event-Driven AI Integration: Connecting AI to Business Events",20250221,0],["2025-02-22-ai-data-pipeline-patterns","AI Data Pipeline Patterns: Intelligent ETL and Processing",20250222,0],["2025-02-23-fabric-ai-deep-integration","Fabric AI Deep Integration: Advanced Patterns",20250223,0],["2025-02-24-building-ai-copilots","Building AI Copilots: From Concept to Production",20250224,0],["2025-02-25-semantic-kernel-patterns","Semantic Kernel Patterns: Building AI Applications with Microsoft's SDK",20250225,0],["2025-02-26-langchain-vs-semantic-kernel","LangChain vs Semantic Kernel: Choosing Your AI Framework",20250226,0],["2025-02-27-ai-orchestration-frameworks","AI Orchestration Frameworks: Building Complex AI Workflows",20250227,0],["2025-02-28-february-ai-recap","February 2025 AI Recap: Key Developments and Trends",20250228,0],["2025-03-01-rag-advanced-patterns","RAG Advanced Patterns: Beyond Basic Retrieval",20250301,0],["2025-03-02-knowledge-graphs-ai-integration","Knowledge Graphs and AI: Building Intelligent Data Structures",20250302,0],["2025-03-03-graphrag-implementation","GraphRAG Implementation: Combining Graphs with Retrieval",20250303,0],["2025-03-04-data-mesh-ai-integration","Data Mesh and AI: Decentralized Intelligence at Scale",20250304,0],["2025-03-05-ai-assisted-data-modeling","AI-Assisted Data Modeling: Accelerating Schema Design",20250305,0],["2025-03-06-dbt-ai-integration","dbt and AI: Intelligent Data Transformations",20250306,0],["2025-03-07-data-quality-ai-automation","Data Quality Automation with AI: Beyond Rule-Based Validation",20250307,0],["2025-03-08-testing-ai-applications","Testing AI Applications: Strategies for Non-Deterministic Systems",20250308,0],["2025-03-09-ai-documentation-generation","AI-Powered Documentation: Keeping Docs in Sync with Code",20250309,0],["2025-03-10-semantic-layer-ai","Semantic Layer for AI: Building Business-Ready Data Interfaces",20250310,0],["2025-03-10-fabric-copilot-all-skus","Microsoft Fabric Copilot Now Available for All Paid SKUs",20250310,0],["2025-03-11-vector-search-optimization","Vector Search Optimization: Scaling to Billions of Vectors",20250311,0],["2025-03-12-chunking-strategies","Chunking Strategies for RAG: Finding the Right Granularity",20250312,0],["2025-03-13-embedding-models-comparison","Embedding Models Comparison: Choosing the Right Model for Your Use Case",20250313,0],["2025-03-14-reranking-strategies","Reranking Strategies: Improving RAG Precision",20250314,0],["2025-03-15-query-transformation-techniques","Query Transformation Techniques: Improving RAG Recall",20250315,0],["2025-03-16-context-window-management","Context Window Management: Maximizing LLM Effectiveness",20250316,0],["2025-03-17-prompt-caching-strategies","Prompt Caching Strategies: Reducing Latency and Cost",20250317,0],["2025-03-18-function-calling-patterns","Function Calling Patterns: Building Reliable AI Tools",20250318,0],["2025-03-19-structured-outputs","Structured Outputs: Getting Reliable Data from LLMs",20250319,0],["2025-03-20-guardrails-for-llms","Guardrails for LLMs: Building Safe AI Applications",20250320,0],["2025-03-21-prompt-injection-defense","Prompt Injection Defense: Protecting AI Applications",20250321,0],["2025-03-22-ai-observability","AI Observability: Monitoring LLM Applications in Production",20250322,0],["2025-03-23-evaluation-metrics-ai","Evaluation Metrics for AI: Measuring What Matters",20250323,0],["2025-03-24-ab-testing-ai-features","A/B Testing AI Features: Data-Driven AI Improvements",20250324,0],["2025-03-25-llm-fine-tuning-azure","LLM Fine-Tuning on Azure: When and How to Customize Models",20250325,0],["2025-03-26-distillation-techniques","Model Distillation: Creating Efficient Specialized Models",20250326,0],["2025-03-27-multi-modal-applications","Multi-Modal AI Applications: Beyond Text",20250327,0],["2025-03-28-vision-language-models","Vision-Language Models: Understanding Images with AI",20250328,0],["2025-03-29-audio-ai-applications","Audio AI Applications: Speech, Music, and Sound Processing",20250329,0],["2025-03-30-q1-retrospective","Q1 2025 AI Retrospective: Key Developments and Learnings",20250330,0],["2025-03-31-march-recap","March 2025 Recap: Advanced Patterns and Production Readiness",20250331,0],["2025-04-01-build-2025-preview","Build 2025 Preview: What to Expect from Microsoft's Developer Conference",20250401,0],["2025-04-02-copilot-extensibility","Copilot Extensibility: Building Custom Copilot Experiences",20250402,0],["2025-04-03-windows-ai-features","Windows AI Features: Building for the AI PC",20250403,0],["2025-04-04-npu-programming","NPU Programming: Leveraging Neural Processing Units",20250404,0],["2025-04-05-phi-3-local-deployment","Phi-3 Local Deployment: Running Microsoft's SLM On-Device",20250405,5],["2025-04-06-slm-vs-llm-strategies","SLM vs LLM Strategies: Choosing the Right Model Size",20250406,0],["2025-04-07-model-routing-patterns","Model Routing Patterns: Smart Query Distribution",20250407,0],["2025-04-08-onnx-deployment","ONNX Deployment: Cross-Platform AI Model Deployment",20250408,0],["2025-04-09-edge-ai-architecture","Edge AI Architecture: Designing for On-Device Intelligence",20250409,0],["2025-04-10-mobile-ai-development","Mobile AI Development: Building Intelligent Mobile Apps",20250410,0],["2025-04-11-browser-ai-webgpu","Browser AI with WebGPU: Running Models in the Browser",20250411,0],["2025-04-12-efficient-inference-patterns","Efficient Inference Patterns: Maximizing AI Throughput",20250412,0],["2025-04-13-quantization-techniques","Quantization Techniques: Shrinking Models Without Losing Quality",20250413,0],["2025-04-14-speculative-decoding","Speculative Decoding: Accelerating LLM Generation",20250414,0],["2025-04-15-azure-ai-search-advanced","Azure AI Search Advanced Features: Beyond Basic Indexing",20250415,0],["2025-04-16-cosmos-db-vector-search","Cosmos DB Vector Search: Building AI-Ready Databases",20250416,0],["2025-04-17-postgresql-pgvector","PostgreSQL with pgvector: Open Source Vector Search",20250417,0],["2025-04-18-multimodal-rag","Multimodal RAG: Retrieval Across Text, Images, and Documents",20250418,0],["2025-04-19-document-intelligence","Azure Document Intelligence: Extracting Structured Data from Documents",20250419,0],["2025-04-20-table-extraction-ai","Table Extraction with AI: From Images to Structured Data",20250420,0],["2025-04-21-code-generation-ai","Code Generation with AI: Building Developer Tools",20250421,0],["2025-04-22-sql-generation-nl","Natural Language to SQL: Building Text-to-SQL Systems",20250422,0],["2025-04-23-ai-data-pipelines","AI in Data Pipelines: Intelligent ETL and ELT",20250423,0],["2025-04-24-fabric-ai-integration","Microsoft Fabric AI Integration: Unified Analytics and Intelligence",20250424,0],["2025-04-25-power-bi-copilot","Power BI Copilot: AI-Powered Business Intelligence",20250425,0],["2025-04-26-azure-synapse-ai","Azure Synapse Analytics AI: Machine Learning at Scale",20250426,0],["2025-04-27-databricks-ai","Databricks AI: Unified Data and AI Platform",20250427,0],["2025-04-28-snowflake-cortex","Snowflake Cortex: AI Functions in the Data Cloud",20250428,0],["2025-04-29-ai-cost-optimization","AI Cost Optimization: Managing LLM Expenses",20250429,0],["2025-04-30-april-recap","April 2025 Recap: Build Preparation and Platform Integration",20250430,0],["2025-05-01-build-2025-day-one","Build 2025 Day One: Major Announcements and Developer Impact",20250501,0],["2025-05-02-build-2025-ai-platform","Build 2025: Azure AI Platform Deep Dive",20250502,0],["2025-05-03-build-2025-copilot-stack","Build 2025: The Copilot Stack Deep Dive",20250503,0],["2025-05-04-build-2025-developer-tools","Build 2025: Developer Tools and AI Integration",20250504,0],["2025-05-05-semantic-kernel-2","Semantic Kernel 2.0: Major Updates and New Features",20250505,0],["2025-05-06-azure-ai-foundry-agents","Azure AI Foundry Agents: Building Production AI Agents",20250506,0],["2025-05-07-mcp-integration","Model Context Protocol in Azure: Standardized Tool Integration",20250507,0],["2025-05-08-ai-governance-frameworks","AI Governance Frameworks: Building Responsible AI Systems",20250508,0],["2025-05-09-responsible-ai-practices","Responsible AI Practices: Implementing Ethical AI",20250509,0],["2025-05-10-ai-security-best-practices","AI Security Best Practices: Protecting AI Systems",20250510,0],["2025-05-11-llmops-practices","LLMOps: Operationalizing Large Language Models",20250511,0],["2025-05-12-prompt-management","Prompt Management: Version Control for AI Instructions",20250512,0],["2025-05-13-model-versioning","Model Versioning: Managing AI Model Lifecycle",20250513,0],["2025-05-14-ai-monitoring-dashboards","AI Monitoring Dashboards: Visualizing AI System Health",20250514,0],["2025-05-15-incident-response-ai","Incident Response for AI Systems: Handling AI Failures",20250515,0],["2025-05-16-capacity-planning-ai","Capacity Planning for AI: Scaling AI Infrastructure",20250516,0],["2025-05-17-ai-finops","AI FinOps: Managing AI Costs at Scale",20250517,0],["2025-05-18-reserved-capacity-ai","Reserved Capacity for AI: Optimizing Long-Term Costs",20250518,0],["2025-05-19-ai-testing-frameworks","AI Testing Frameworks: Comprehensive Testing for AI Systems",20250519,0],["2025-05-20-continuous-evaluation","Continuous Evaluation: Monitoring AI Quality in Production",20250520,0],["2025-05-21-ai-drift-detection","AI Drift Detection: Monitoring Model Performance Over Time",20250521,0],["2025-05-22-human-feedback-loops","Human Feedback Loops: Improving AI with User Input",20250522,0],["2025-05-23-ai-debugging-techniques","AI Debugging Techniques: Diagnosing AI System Issues",20250523,0],["2025-05-24-explainable-ai","Explainable AI: Making AI Decisions Transparent",20250524,0],["2025-05-25-ai-team-collaboration","AI Team Collaboration: Building Effective AI Development Teams",20250525,0],["2025-05-26-ai-documentation","AI Documentation: Documenting AI Systems Effectively",20250526,0],["2025-05-27-enterprise-ai-adoption","Enterprise AI Adoption: Strategies for Organizational Success",20250527,0],["2025-05-28-ai-change-management","AI Change Management: Leading AI Transformation",20250528,0],["2025-05-29-measuring-ai-roi","Measuring AI ROI: Quantifying AI Business Value",20250529,0],["2025-05-30-ai-use-case-prioritization","AI Use Case Prioritization: Selecting High-Impact Projects",20250530,0],["2025-05-31-may-recap","May 2025 Recap: Build 2025 and Enterprise AI",20250531,0],["2025-06-01-post-build-implementation","Post-Build 2025: Implementing New Features",20250601,0],["2025-06-02-advanced-agent-patterns","Advanced Agent Patterns: Complex Multi-Agent Systems",20250602,0],["2025-06-03-agent-memory-systems","Agent Memory Systems: Building Persistent AI Memory",20250603,0],["2025-06-04-tool-orchestration","Tool Orchestration: Managing Complex Tool Interactions",20250604,0],["2025-06-05-agentic-workflows","Agentic Workflows: Designing Autonomous AI Systems",20250605,0],["2025-06-07-real-time-ai","Real Time Ai: Building Modern AI Systems",20250607,0],["2025-06-08-streaming-inference","Streaming Inference: Building Modern AI Systems",20250608,0],["2025-06-09-websocket-ai","Websocket Ai: Building Modern AI Systems",20250609,0],["2025-06-10-event-driven-ai","Event Driven Ai: Building Modern AI Systems",20250610,0],["2025-06-11-kafka-ai","Kafka Ai: Building Modern AI Systems",20250611,0],["2025-06-12-azure-event-grid-ai","Azure Event Grid Ai: Building Modern AI Systems",20250612,0],["2025-06-13-serverless-ai","Serverless Ai: Building Modern AI Systems",20250613,0],["2025-06-14-azure-functions-ai","Azure Functions Ai: Building Modern AI Systems",20250614,0],["2025-06-15-durable-functions-ai","Durable Functions Ai: Building Modern AI Systems",20250615,0],["2025-06-16-container-apps-ai","Container Apps Ai: Building Modern AI Systems",20250616,0],["2025-06-17-kubernetes-ai","Kubernetes Ai: Building Modern AI Systems",20250617,0],["2025-06-18-gpu-optimization","Gpu Optimization: Building Modern AI Systems",20250618,0],["2025-06-18-fabric-real-time-intelligence-patterns","Microsoft Fabric Real-Time Intelligence: Patterns for Streaming Analytics",20250618,1],["2025-06-19-model-serving","Model Serving: Building Modern AI Systems",20250619,0],["2025-06-20-load-balancing-ai","Load Balancing Ai: Building Modern AI Systems",20250620,0],["2025-06-21-caching-strategies","Caching Strategies: Building Modern AI Systems",20250621,0],["2025-06-22-batch-processing","Batch Processing: Building Modern AI Systems",20250622,0],["2025-06-23-data-lakehouse-ai","Data Lakehouse Ai: Building Modern AI Systems",20250623,0],["2025-06-24-delta-lake-ai","Delta Lake Ai: Building Modern AI Systems",20250624,0],["2025-06-25-iceberg-ai","Iceberg Ai: Building Modern AI Systems",20250625,0],["2025-06-26-unity-catalog","Unity Catalog: Building Modern AI Systems",20250626,0],["2025-06-27-data-governance","Data Governance: Building Modern AI Systems",20250627,0],["2025-06-28-metadata-management","Metadata Management: Building Modern AI Systems",20250628,0],["2025-06-29-data-lineage","Data Lineage: Building Modern AI Systems",20250629,0],["2025-06-30-june-recap","June Recap: Building Modern AI Systems",20250630,0],["2025-07-01-july-ai-topic","Building AI Agents with Azure AI Foundry: A Post-Build 2025 Implementation Guide",20250701,0],["2025-07-02-july-ai-topic","Microsoft Fabric Real-Time Intelligence: Streaming Analytics at Scale",20250702,1],["2025-07-03-july-ai-topic","Claude 3.5 Sonnet for Code Review: Automated PR Analysis Patterns",20250703,0],["2025-07-04-july-ai-topic","GPT-4o Vision for Document Intelligence: Building Smart OCR Pipelines",20250704,0],["2025-07-05-july-ai-topic","Copilot Extensibility: Building Custom Plugins for Microsoft 365 Copilot",20250705,0],["2025-07-06-july-ai-topic","Azure AI Search Vector Optimization: Reducing Costs While Improving Recall",20250706,0],["2025-07-07-july-ai-topic","Real-Time AI Inference with Azure Container Apps: Dynamic Scaling Patterns",20250707,0],["2025-07-08-july-ai-topic","Cosmos DB Vector Search: Implementing Semantic Search at Global Scale",20250708,0],["2025-07-09-july-ai-topic","Prompt Caching with Claude and Azure OpenAI: Reducing Latency and Costs",20250709,0],["2025-07-10-july-ai-topic","Fabric Data Pipelines: Orchestrating ML Feature Engineering at Scale",20250710,0],["2025-07-11-july-ai-topic","Building Multi-Agent Systems with Azure AI Foundry Orchestration",20250711,0],["2025-07-12-july-ai-topic","Semantic Kernel v2: Building Composable AI Applications in C#",20250712,0],["2025-07-13-july-ai-topic","Evaluating RAG Systems: Metrics and Automated Testing with Azure AI",20250713,0],["2025-07-14-july-ai-topic","Fine-Tuning GPT-4o for Domain-Specific Tasks on Azure",20250714,0],["2025-07-15-july-ai-topic","GitHub Copilot Workspace: AI-Powered Development Environment Deep Dive",20250715,0],["2025-07-16-july-ai-topic","Implementing Guardrails for Production LLM Applications",20250716,0],["2025-07-17-july-ai-topic","Azure Machine Learning Managed Endpoints: Deploying Models with Zero Downtime",20250717,0],["2025-07-18-july-ai-topic","Building Conversational AI with Azure Bot Service and GPT-4o",20250718,0],["2025-07-19-july-ai-topic","Streaming LLM Responses: Patterns for Real-Time User Experience",20250719,0],["2025-07-20-july-ai-topic","Data Lakehouse Architecture with Microsoft Fabric: Medallion Pattern Implementation",20250720,1],["2025-07-21-july-ai-topic","Claude Extended Thinking: Solving Complex Reasoning Problems",20250721,0],["2025-07-22-july-ai-topic","Azure Functions with AI: Serverless Inference Patterns",20250722,0],["2025-07-23-july-ai-topic","Building Knowledge Graphs with Azure OpenAI and Neo4j",20250723,0],["2025-07-24-july-ai-topic","Implementing Semantic Caching for LLM Applications",20250724,0],["2025-07-25-july-ai-topic","Power BI Copilot: Natural Language Analytics for Business Users",20250725,0],["2025-07-26-july-ai-topic","Structured Output with JSON Mode: Reliable Data Extraction from LLMs",20250726,0],["2025-07-27-july-ai-topic","Azure API Management for AI APIs: Rate Limiting and Cost Control",20250727,0],["2025-07-28-july-ai-topic","Multimodal RAG: Combining Text, Images, and Tables for Enhanced Search",20250728,0],["2025-07-29-july-ai-topic","Building AI-Powered Search with Azure AI Search and Semantic Ranker",20250729,0],["2025-07-30-july-ai-topic","Observability for LLM Applications: Tracing, Metrics, and Debugging",20250730,0],["2025-07-31-july-ai-topic","End-to-End MLOps with Azure Machine Learning and GitHub Actions",20250731,0],["2025-08-01-august-ai-topic","Getting Started with Semantic Kernel 2.x: A Practical Introduction",20250801,0],["2025-08-02-august-ai-topic","Building RAG Applications with Azure AI Search and GPT-4o",20250802,0],["2025-08-03-august-ai-topic","Microsoft Fabric Lakehouse: Unified Analytics for the Modern Data Stack",20250803,1],["2025-08-04-august-ai-topic","Azure OpenAI o1 Models: Reasoning at Scale for Complex Problems",20250804,0],["2025-08-05-august-ai-topic","Implementing Semantic Kernel Plugins for Enterprise Applications",20250805,0],["2025-08-06-august-ai-topic","Delta Lake Optimization: VACUUM, OPTIMIZE, and Z-ORDER Explained",20250806,1],["2025-08-07-august-ai-topic","AI Observability with Azure Monitor and Application Insights",20250807,0],["2025-08-08-august-ai-topic","Cost Optimization Strategies for Azure OpenAI Workloads",20250808,0],["2025-08-09-august-ai-topic","Building Production MLOps Pipelines with Azure Machine Learning",20250809,0],["2025-08-10-august-ai-topic","RAG Chunking Strategies: Finding the Optimal Approach",20250810,0],["2025-08-11-august-ai-topic","Microsoft Ignite 2025 Preview: AI and Data Platform Expectations",20250811,0],["2025-08-12-august-ai-topic","Implementing Hybrid Search in Azure AI Search",20250812,0],["2025-08-13-august-ai-topic","LLMOps: Operationalizing Large Language Models in Production",20250813,0],["2025-08-14-august-ai-topic","Apache Iceberg on Microsoft Fabric: Open Table Format Integration",20250814,1],["2025-08-15-august-ai-topic","Semantic Kernel Memory: Building Persistent AI Context",20250815,0],["2025-08-16-august-ai-topic","GPT-4o Vision: Building Image Analysis Applications",20250816,0],["2025-08-17-august-ai-topic","Building AI Agents with Semantic Kernel Planners",20250817,0],["2025-08-18-august-ai-topic","Real-Time Data Processing with Microsoft Fabric Eventstreams",20250818,1],["2025-08-19-august-ai-topic","Prompt Engineering Best Practices for Enterprise Applications",20250819,0],["2025-08-20-august-ai-topic","Implementing Guardrails for Production AI Systems",20250820,0],["2025-08-21-august-ai-topic","Building TypeScript AI Applications with Vercel AI SDK",20250821,0],["2025-08-22-august-ai-topic","Vector Database Selection: Comparing Azure AI Search, Pinecone, and Qdrant",20250822,0],["2025-08-23-august-ai-topic","Data Quality for AI: Ensuring Clean Data for ML and LLM Applications",20250823,0],["2025-08-24-august-ai-topic","Function Calling Patterns in Azure OpenAI",20250824,0],["2025-08-25-august-ai-topic","Medallion Architecture in Microsoft Fabric: Bronze, Silver, Gold Explained",20250825,1],["2025-08-26-august-ai-topic","Structured Output with Azure OpenAI: JSON Mode and Response Formats",20250826,0],["2025-08-27-august-ai-topic","Building Data Pipelines with Microsoft Fabric Data Factory",20250827,1],["2025-08-28-august-ai-topic","Embedding Models: Choosing Between OpenAI, Azure, and Open Source",20250828,0],["2025-08-29-august-ai-topic","Semantic Kernel Filters: Intercepting and Modifying AI Operations",20250829,0],["2025-08-30-august-ai-topic","AI-Powered Data Exploration with Microsoft Fabric Copilot",20250830,0],["2025-08-31-august-ai-topic","Building Multi-Agent Systems with Semantic Kernel",20250831,0],["2025-09-01-september-ai-topic","Enterprise AI Adoption: Building Your Center of Excellence",20250901,0],["2025-09-02-september-ai-topic","Azure AI Document Intelligence: Extracting Structured Data from Invoices",20250902,0],["2025-09-03-september-ai-topic","Microsoft Fabric Real-Time Analytics: Streaming Data Pipelines",20250903,1],["2025-09-04-september-ai-topic","Prompt Engineering: Chain-of-Thought Techniques for Complex Reasoning",20250904,0],["2025-09-05-september-ai-topic","Building AI Agents with Tool Use: A Practical Architecture",20250905,0],["2025-09-06-september-ai-topic","Data Mesh Implementation: Domain-Oriented Data Products",20250906,1],["2025-09-07-september-ai-topic","Responsible AI: Implementing Fairness Metrics in ML Pipelines",20250907,0],["2025-09-08-september-ai-topic","Fine-Tuning GPT Models: When and How to Customize",20250908,0],["2025-09-09-september-ai-topic","Hybrid Search: Combining Vector and Keyword Search in Azure AI Search",20250909,0],["2025-09-10-september-ai-topic","Enterprise AI Governance: Building Model Registries and Approval Workflows",20250910,0],["2025-09-11-september-ai-topic","Azure Document Intelligence Custom Models: Training for Specialized Documents",20250911,0],["2025-09-12-september-ai-topic","Microsoft Fabric Lakehouse: Medallion Architecture Implementation",20250912,1],["2025-09-13-september-ai-topic","Prompt Engineering: Structured Output with JSON Mode",20250913,0],["2025-09-14-september-ai-topic","Multi-Agent Systems: Orchestrating Specialized AI Agents",20250914,0],["2025-09-15-september-ai-topic","Data Mesh: Implementing Self-Serve Data Infrastructure",20250915,1],["2025-09-16-september-ai-topic","Responsible AI: Implementing Explainability in Production Models",20250916,0],["2025-09-17-september-ai-topic","Fine-Tuning with LoRA: Efficient Model Customization",20250917,0],["2025-09-18-september-ai-topic","Semantic Caching for LLM Applications: Reducing Costs and Latency",20250918,0],["2025-09-19-september-ai-topic","Enterprise AI: Building Secure API Gateways for LLM Access",20250919,0],["2025-09-20-september-ai-topic","Azure Document Intelligence: Table Extraction and Analysis",20250920,1],["2025-09-21-september-ai-topic","Microsoft Fabric Data Activator: Event-Driven Data Alerts",20250921,1],["2025-09-22-september-ai-topic","Prompt Engineering: System Prompts That Actually Work",20250922,0],["2025-09-23-september-ai-topic","AI Agent Memory: Implementing Long-Term Context",20250923,0],["2025-09-24-september-ai-topic","Data Mesh: Federated Computational Governance",20250924,1],["2025-09-25-september-ai-topic","Responsible AI: Content Safety Filters for LLM Applications",20250925,0],["2025-09-26-september-ai-topic","Vector Database Selection: Choosing the Right Solution for RAG",20250926,0],["2025-09-27-september-ai-topic","Microsoft Fabric Notebooks: Collaborative Data Science at Scale",20250927,1],["2025-09-28-september-ai-topic","Prompt Injection Defense: Securing LLM Applications",20250928,0],["2025-09-29-september-ai-topic","Retrieval-Augmented Generation: Chunking Strategies for Better Results",20250929,0],["2025-09-30-september-ai-topic","September 2025 Recap: Key Takeaways for Enterprise AI",20250930,0],["2025-10-01-october-ai-topic","Preparing for Microsoft Ignite 2025: Key Azure AI Announcements to Watch",20251001,0],["2025-10-02-october-ai-topic","Azure Machine Learning Managed Endpoints: Advanced Deployment Patterns",20251002,0],["2025-10-03-october-ai-topic","Microsoft Fabric Capacity Planning: Right-Sizing Your Data Platform",20251003,1],["2025-10-04-october-ai-topic","AI Safety Guardrails: Implementing Content Filtering in Azure OpenAI",20251004,0],["2025-10-05-october-ai-topic","Building Multi-Modal AI Applications with GPT-4 Vision and Audio",20251005,0],["2025-10-06-october-ai-topic","Data Governance with Microsoft Purview: Implementing Data Lineage Tracking",20251006,1],["2025-10-07-october-ai-topic","Real-Time Streaming Analytics with Azure Stream Analytics and Event Hubs",20251007,1],["2025-10-08-october-ai-topic","Model Evaluation Techniques: Beyond Accuracy Metrics",20251008,0],["2025-10-09-october-ai-topic","Edge AI Deployment: Running ML Models on Azure IoT Edge",20251009,0],["2025-10-10-october-ai-topic","Azure AI Search: Implementing Hybrid Search with Vectors and Keywords",20251010,0],["2025-10-11-october-ai-topic","Prompt Engineering Patterns for Enterprise Applications",20251011,0],["2025-10-12-october-ai-topic","Azure Cosmos DB for AI Applications: Vector Search and Change Feed Patterns",20251012,0],["2025-10-13-october-ai-topic","Fine-Tuning Azure OpenAI Models: When and How to Customize",20251013,0],["2025-10-14-october-ai-topic","Semantic Kernel: Building AI Orchestration with .NET",20251014,0],["2025-10-15-october-ai-topic","Azure AI Document Intelligence: Automated Document Processing at Scale",20251015,0],["2025-10-16-october-ai-topic","Implementing RAG with LangChain and Azure OpenAI",20251016,0],["2025-10-17-october-ai-topic","Azure Machine Learning Pipelines: Orchestrating ML Workflows",20251017,0],["2025-10-18-october-ai-topic","Responsible AI: Implementing Fairness and Transparency in ML Models",20251018,0],["2025-10-19-october-ai-topic","Azure Functions with AI: Building Serverless AI Applications",20251019,0],["2025-10-20-october-ai-topic","Building AI Agents with AutoGen and Azure OpenAI",20251020,0],["2025-10-21-october-ai-topic","Monitoring AI Applications with Azure Monitor and Application Insights",20251021,0],["2025-10-22-october-ai-topic","Cost Optimization Strategies for Azure OpenAI Deployments",20251022,0],["2025-10-23-october-ai-topic","Implementing Retrieval-Augmented Generation with Microsoft Fabric",20251023,0],["2025-10-24-october-ai-topic","Azure AI Speech: Building Voice-Enabled AI Applications",20251024,0],["2025-10-25-october-ai-topic","Implementing Zero-Trust Security for AI Applications",20251025,0],["2025-10-26-october-ai-topic","Building Copilot Extensions with Azure OpenAI Assistants API",20251026,0],["2025-10-27-october-ai-topic","Data Mesh Architecture: Enabling AI at Scale with Decentralized Data",20251027,0],["2025-10-28-october-ai-topic","Testing AI Applications: Strategies for LLM-Based Systems",20251028,0],["2025-10-29-october-ai-topic","GraphRAG: Combining Knowledge Graphs with Retrieval-Augmented Generation",20251029,0],["2025-10-30-october-ai-topic","Batch Processing AI Workloads with Azure Batch and OpenAI",20251030,0],["2025-10-31-october-ai-topic","Pre-Ignite Checklist: Preparing Your Organization for AI Announcements",20251031,0],["2025-11-01-november-ai-topic","Building Production-Ready AI Pipelines with Azure Machine Learning",20251101,0],["2025-11-02-november-ai-topic","Implementing Data Quality Checks in Microsoft Fabric Lakehouses",20251102,1],["2025-11-03-november-ai-topic","Copilot Studio: Building Custom AI Agents for Enterprise Workflows",20251103,0],["2025-11-04-november-ai-topic","Optimizing GPU Utilization for AI Workloads on Azure",20251104,0],["2025-11-05-november-ai-topic","Testing LLM Applications: Strategies Beyond Traditional Unit Tests",20251105,0],["2025-11-06-november-ai-topic","Delta Lake Deep Dive: Time Travel and Schema Evolution in Fabric",20251106,1],["2025-11-07-november-ai-topic","Prompt Engineering Patterns for Enterprise RAG Systems",20251107,0],["2025-11-08-november-ai-topic","Implementing Feature Stores with Microsoft Fabric OneLake",20251108,0],["2025-11-09-november-ai-topic","Azure AI Search: Implementing Hybrid Search for Better RAG Results",20251109,0],["2025-11-10-november-ai-topic","Securing AI Applications: Authentication and Authorization Patterns",20251110,0],["2025-11-11-november-ai-topic","Real-Time Data Streaming with Microsoft Fabric Eventstreams",20251111,1],["2025-11-12-november-ai-topic","Microsoft Ignite 2025 Preview: What to Expect for Azure AI",20251112,0],["2025-11-13-november-ai-topic","Semantic Kernel: Orchestrating AI Agents with Plugins and Planners",20251113,0],["2025-11-14-november-ai-topic","Model Fine-Tuning on Azure: When and How to Customize LLMs",20251114,0],["2025-11-15-november-ai-topic","Ignite 2025 Day 1: Azure AI Foundry and New Model Capabilities",20251115,0],["2025-11-16-november-ai-topic","Ignite 2025 Day 2: Microsoft Fabric Innovations and Real-Time Intelligence",20251116,1],["2025-11-17-november-ai-topic","Ignite 2025 Day 3: Copilot Extensions and Agent Framework",20251117,0],["2025-11-18-november-ai-topic","Building Data Lakehouses: Medallion Architecture Best Practices",20251118,1],["2025-11-19-november-ai-topic","Monitoring AI Applications: Observability Patterns for LLM Systems",20251119,0],["2025-11-20-november-ai-topic","Vector Database Selection: Comparing Azure AI Search, Cosmos DB, and PostgreSQL",20251120,0],["2025-11-21-november-ai-topic","Implementing Guardrails for Production LLM Applications",20251121,0],["2025-11-22-november-ai-topic","Semantic Caching for LLM Applications: Reducing Costs and Latency",20251122,0],["2025-11-23-november-ai-topic","Azure Container Apps: Serverless Deployment for AI Workloads",20251123,0],["2025-11-24-november-ai-topic","Document Intelligence: Extracting Structured Data from Complex Documents",20251124,0],["2025-11-25-november-ai-topic","Building Multi-Agent Systems with AutoGen and Azure",20251125,0],["2025-11-26-november-ai-topic","Cost Management for Azure AI Services: Budgeting and Optimization",20251126,0],["2025-11-27-november-ai-topic","Data Governance in Microsoft Fabric: Purview Integration and Compliance",20251127,1],["2025-11-28-november-ai-topic","AI-Powered Code Review: Integrating LLMs into Development Workflows",20251128,0],["2025-11-29-november-ai-topic","Preparing for 2026: AI Technology Trends and Planning",20251129,0],["2025-11-30-november-ai-topic","November 2025 Recap: Ignite Announcements and AI Progress",20251130,0],["2025-12-01-december-ai-topic","2025 AI Year in Review: The Year Agents Became Real",20251201,0],["2025-12-02-december-ai-topic","Azure OpenAI vs OpenAI Direct: A 2025 Comparison Guide",20251202,0],["2025-12-03-december-ai-topic","Migrating from LangChain to Semantic Kernel: A Practical Guide",20251203,0],["2025-12-04-december-ai-topic","Top 10 Azure Data Services Lessons from 2025",20251204,1],["2025-12-05-december-ai-topic","Building Production RAG Systems: Best Practices for 2026",20251205,0],["2025-12-06-december-ai-topic","Performance Optimization for .NET 9 Applications on Azure",20251206,3],["2025-12-07-december-ai-topic","Kubernetes Cost Optimization on AKS: Lessons from 2025",20251207,3],["2025-12-08-december-ai-topic","2026 Predictions: The Rise of Multimodal AI Applications",20251208,0],["2025-12-09-december-ai-topic","Comparing Vector Databases: Azure AI Search vs Pinecone vs Weaviate",20251209,0],["2025-12-10-december-ai-topic","Securing AI Applications: A Comprehensive 2025 Checklist",20251210,0],["2025-12-11-december-ai-topic","Building Event-Driven Architectures with Azure Event Grid and Functions",20251211,3],["2025-12-12-december-ai-topic","GitHub Copilot vs Cursor vs Claude Code: Developer AI Tools Compared",20251212,0],["2025-12-13-december-ai-topic","Implementing Observability for AI Applications with OpenTelemetry",20251213,0],["2025-12-14-december-ai-topic","Azure Container Apps vs Azure Kubernetes Service: When to Use Each",20251214,3],["2025-12-15-december-ai-topic","The Complete Guide to AI Model Fine-Tuning on Azure",20251215,0],["2025-12-16-december-ai-topic","Building Resilient Microservices with Azure Service Bus",20251216,3],["2025-12-17-december-ai-topic","Data Engineering Career Retrospective: What Changed in 2025",20251217,1],["2025-12-18-december-ai-topic","Implementing Zero-Trust Security for AI Workloads on Azure",20251218,0],["2025-12-19-december-ai-topic","The Ultimate Azure Cost Optimization Checklist for 2026",20251219,3],["2025-12-20-december-ai-topic","Building a Personal AI Assistant with Semantic Kernel",20251220,0],["2025-12-21-december-ai-topic","Winter Solstice Code Review: My Most Impactful Refactors of 2025",20251221,5],["2025-12-22-december-ai-topic","Building Real-Time Dashboards with Azure SignalR and React",20251222,3],["2025-12-23-december-ai-topic","Holiday Tech Gift Guide 2025: Tools That Made Me More Productive",20251223,5],["2025-12-24-december-ai-topic","Christmas Eve Automation: Building a Holiday Light Controller with Azure IoT",20251224,3],["2025-12-25-december-ai-topic","Christmas Day Reflection: The Joy of Building Things That Help People",20251225,5],["2025-12-26-december-ai-topic","Boxing Day Deep Dive: Understanding Transformer Architecture",20251226,0],["2025-12-27-december-ai-topic","Building a Custom GPT for Your Documentation with Azure OpenAI",20251227,0],["2025-12-28-december-ai-topic","Infrastructure as Code Best Practices: Lessons from 100+ Deployments",20251228,3],["2025-12-29-december-ai-topic","API Design Patterns That Stood the Test of Time in 2025",20251229,3],["2025-12-30-december-ai-topic","Preparing Your Codebase for 2026: A Technical Debt Audit Guide",20251230,5],["2025-12-31-december-ai-topic","New Year's Eve 2025: Setting Technical Goals That Actually Work",20251231,5],["2026-01-01-new-year-same-foundation","New Year, Same Foundation: Why I Don't Do Resolutions",20260101,5],["2026-01-02-ai-agents-reality-vs-hype","AI Agents in 2026: Where They Earn Their Keep and Where They Don't",20260102,0],["2026-01-03-teaching-kids-about-ai","Explaining ChatGPT to My Sons: Very Good Guessing, Not Thinking",20260103,0],["2026-01-04-azure-openai-hidden-costs","Azure OpenAI Hidden Costs: What Your Token Estimate Misses",20260104,0],["2026-01-05-microsoft-fabric-reality-check","Microsoft Fabric Reality Check: What Holds Up and What Hurts",20260105,1],["2026-01-06-parenting-in-tech","The Tech Parent's Dilemma: Home All Day, Present for None of It",20260106,5],["2026-01-07-rag-patterns-production","Seven RAG Failure Modes and the Pattern That Fixes Each",20260107,0],["2026-01-08-autism-and-routine","What My Son's Autism Taught Me About Predictable Systems",20260108,3],["2026-01-09-prompt-engineering-myths","Eight Prompt Engineering Myths to Drop in 2026",20260109,0],["2026-01-10-why-i-still-blog","Why I Still Blog in 2026: Owning the Place I Think Out Loud",20260110,5],["2026-01-11-vector-databases-comparison","Six Vector Stores for RAG and Where Each One Hurts",20260111,0],["2026-01-12-weekend-work-boundaries","The Weekend I Stopped Answering Slack",20260112,5],["2026-01-13-semantic-kernel-agents","Semantic Kernel Agents in Production: What's Stable, What Isn't",20260113,0],["2026-01-14-databricks-vs-fabric","Databricks or Fabric in 2026: Choosing Your Primary Platform",20260114,1],["2026-01-15-learning-burnout","The Myth of Continuous Learning: Depth Beats Keeping Up",20260115,5],["2026-01-16-llm-observability","LLM Observability: The Few Signals That Actually Matter",20260116,0],["2026-01-17-autism-meltdown-management","Autism Meltdowns: What Doesn't Help, What Does, and Prevention",20260117,5],["2026-01-18-cost-per-query-optimization","Cost Per Query: Measure the Unit Cost Before You Cut It",20260118,0],["2026-01-19-technical-writing-tips","What Makes Technical Writing Actually Useful",20260119,5],["2026-01-20-fabric-capacity-planning","From F64 to F32: Three Fabric Sizing Mistakes and the Fixes",20260120,1],["2026-01-21-ai-testing-strategies","Testing AI Systems: Which Tests Run Where, and Why",20260121,0],["2026-01-22-building-for-maintenance","Boring Code on Purpose: Writing Software I Can Maintain at 2 AM",20260122,5],["2026-01-23-fabric-migration-lessons","Synapse to Fabric Migration: 5 Things I Wish I'd Known",20260123,1],["2026-01-24-present-moment-parenting","The Five-Minute Father: Phone Down When My Kids Talk",20260124,5],["2026-01-25-ai-product-lessons","AI Product Lessons: Users Want Augmentation, Not Automation",20260125,0],["2026-01-26-ado-vs-github","Azure DevOps vs GitHub in 2026: Choosing the Whole Platform",20260126,3],["2026-01-27-honest-retro","Grading My January Commitments Before the Month Ends",20260127,5],["2026-01-28-ai-security-basics","AI Security Basics: Keys, Quotas and Logs Before Prompt Tricks",20260128,0],["2026-01-29-learning-ai-as-engineer","Learning AI Without a PhD: What Transfers From Cloud Engineering",20260129,0],["2026-01-30-simple-deployment","The Day-One Pipeline: Push to Main, Ship to App Service",20260130,3],["2026-01-31-january-retrospective","January 2026 Closed Out: What Held, and Three Experiments That Didn't",20260131,5],["2026-02-01-february-fresh-start","February 2026: Fewer Threads, Sundays Off, Seven Hours of Sleep",20260201,5],["2026-02-02-rag-systems-that-work","Agentic Retrieval or a Hand-Built RAG Pipeline? How I Decide",20260202,0],["2026-02-03-context-switching-cost","Six Short Meetings, One Lost Day: The Real Cost of Context Switching",20260203,5],["2026-02-04-azure-openai-vs-openai","Azure OpenAI vs OpenAI in 2026: Same Code, Different Contract",20260204,0],["2026-02-05-data-pipelines-production","Running Data Pipelines in Production: Reruns, Late Data and Drift",20260205,1],["2026-02-06-no-tech-sunday","Our First No-Tech Sunday: Four Phone Reaches and a Creek",20260206,5],["2026-02-07-evaluating-llm-outputs","LLM-as-a-Judge: Check the Judge Before You Trust the Score",20260207,0],["2026-02-08-teaching-kids-technology","Teaching My Kids About Technology: Makers, Not Just Users",20260208,5],["2026-02-09-fabric-six-months-in","Leaving ADF and Databricks for Fabric: What Held Up",20260209,1],["2026-02-10-writing-as-thinking","Writing as Thinking: Forty-One Days and the Delete Step",20260210,5],["2026-02-11-agents-vs-workflows","Workflow First, Agent Inside: Putting the Model in One Step",20260211,0],["2026-02-12-saying-no-to-projects","Three Filters I Use Before Saying Yes to a Project",20260212,5],["2026-02-13-monitoring-ai-production","Monitoring AI in Production: Layers, Owners and a Review Rhythm",20260213,0],["2026-02-14-love-and-tech","Valentine's Day, Phone in the Car: Giving My Wife My Attention",20260214,5],["2026-02-15-semantic-kernel-ai-apps","Semantic Kernel Apps in February 2026: Stay, Bridge, or Rewrite",20260215,0],["2026-02-15-microsoft-agent-framework","Microsoft Agent Framework in .NET: A February 2026 Preview Field Guide",20260215,0],["2026-02-16-prompt-caching-performance","Why Your Azure OpenAI Prompt Cache Keeps Missing",20260216,0],["2026-02-17-the-expert-trap","The Expert Trap: When Knowing the Pattern Stops You Listening",20260217,5],["2026-02-18-delta-lake-fabric","Delta Lake in Fabric: Not Every Engine Reads Every Table",20260218,1],["2026-02-19-debugging-lessons-from-son","Last Known Good: A Debugging Lesson From My Son's LEGO Set",20260219,5],["2026-02-20-fine-tuning-vs-rag-2026","Fine-Tuning or RAG? Decide by the Failure You're Fixing",20260220,0],["2026-02-21-second-no-tech-sunday","Second No-Tech Sunday: Two Phone Reaches and Better Questions",20260221,5],["2026-02-22-kql-the-query-language","KQL for SQL People: The Query Language Azure Already Runs On",20260222,1],["2026-02-23-azure-ai-foundry","Azure AI Foundry Is Now Microsoft Foundry: Hubs, Projects, Choices",20260223,0],["2026-02-24-code-review-that-changed-me","The Code Review Comment That Wasn't About the Code",20260224,5],["2026-02-25-fifty-five-days-writing","Fifty-Five Days In: Being Wrong in Public and Writing on Empty",20260225,5],["2026-02-26-fabric-real-time-intelligence","Equipment Monitoring on Fabric Real-Time Intelligence, End to End",20260226,1],["2026-02-27-principal-engineer-question","Do I Miss Being a Principal Engineer? Yes and No",20260227,5],["2026-02-28-february-retrospective","February 2026 Scorecard: Four Commitments, One Short Month",20260228,5],["2026-03-01-march-fixed-sleep-more-focus","March 2026: A Fixed Bedtime, Two Inbox Checks, One Tool to Ship",20260301,5],["2026-03-02-the-invisible-tax-transitions-not-tasks","Transitions, Not Tasks: Designing AI for the Gap Between Meetings",20260302,0],["2026-03-03-lakehouse-decisions-i-made-this-week-turning-messy-raw-zones-into-reliable-products","Table Contracts in a Fabric Lakehouse: Where Raw Becomes a Product",20260303,1],["2026-03-04-keeping-onelake-clean-under-delivery-pressure-why-governance-has-to-be-designed-before-scale","OneLake Table Contracts: Owners, Schemas and Failure Modes Up Front",20260304,1],["2026-03-05-pipelines-i-trust-in-fabric-reducing-brittle-dependencies-in-daily-loads","Fabric Daily Loads: Gate on Data Readiness, Not the Clock",20260305,1],["2026-03-06-fabric-warehouse-tradeoffs-choosing-model-grain-before-performance-tuning","Fabric Warehouse: Decide Fact Table Grain Before You Tune Anything",20260306,1],["2026-03-07-real-time-signals-that-actually-help-keeping-streaming-dashboards-useful-after-week-one","Why Real-Time Dashboards Rot After Week One, and How to Stop It",20260307,1],["2026-03-08-foundry-decisions-i-stand-behind-how-project-boundaries-change-delivery-speed","Foundry Project Boundaries: Draw Them Around Use Cases, Not Demos",20260308,0],["2026-03-09-how-i-evaluate-llm-changes-tracking-groundedness-before-celebrating-fluency","Gating LLM Changes on Groundedness Flips, Not Fluency Averages",20260309,0],["2026-03-10-rag-tradeoffs-i-keep-seeing-fixing-retrieval-before-touching-prompts","Wrong RAG Answer? Rule Out Retrieval Before You Edit the Prompt",20260310,0],["2026-03-11-building-useful-ai-agents-tool-access-policies-that-improve-reliability","Least-Privilege Tools for AI Agents: Four Layers of Control",20260311,0],["2026-03-12-data-quality-work-that-actually-sticks-choosing-the-minimum-useful-set-of-quality-signals","Five Data Quality Signals for the Data-to-AI Handoff",20260312,0],["2026-03-13-cost-discipline-for-llm-apps-reducing-token-waste-without-hurting-answer-quality","A Token Waste Audit: Cut What the Answer Doesn't Use",20260313,0],["2026-03-14-fabric-architecture-notes-turning-messy-raw-zones-into-reliable-products","Who Gets Told? Owners, Error Codes and Runbooks in Fabric",20260314,1],["2026-03-15-keeping-onelake-clean-under-delivery-pressure-balancing-speed-and-access-boundaries","Fast Access Without Eroding OneLake Boundaries in Fabric",20260315,1],["2026-03-16-data-movement-without-drama-designing-pipelines-for-failure-not-the-happy-path","Fabric Data Movement: Design for the Half-Finished Copy",20260316,1],["2026-03-17-sql-in-fabric-working-notes-building-models-analysts-can-trust-without-constant-hand-holding","SQL in Fabric: Give Analysts a View Layer, Not Your Tables",20260317,1],["2026-03-18-real-time-signals-that-actually-help-building-alerting-that-avoids-fatigue","Alerts People Don't Mute: Designing Activator Rules in Fabric",20260318,1],["2026-03-19-microsoft-foundry-build-notes-moving-from-model-demos-to-governed-operations","Foundry After the March GA: What's Governed and What's Still Preview",20260319,0],["2026-03-20-llm-reliability-in-practice-treating-quality-as-a-product-metric","Quality SLOs for LLM Features: An Error Budget for Bad Answers",20260320,0],["2026-03-21-rag-systems-that-hold-up-using-reranking-only-where-it-changes-outcomes","Is Your Reranker Earning Its Place? Test It Before You Pay for It",20260321,0],["2026-03-22-agent-workflows-in-practice-state-handling-patterns-that-reduce-agent-confusion","Explicit State for Agent Workflows: Stop Making the Model Remember",20260322,0],["2026-03-23-operational-data-quality-notes-separating-incident-response-from-root-cause-fixes","Two Tickets per Data Incident: Contain First, Fix the Cause Second",20260323,1],["2026-03-24-llm-cost-and-latency-notes-reducing-token-waste-without-hurting-answer-quality","Where LLM Latency Goes, and Which Token Cuts Actually Help",20260324,0],["2026-03-25-fabric-lakehouse-patterns-turning-messy-raw-zones-into-reliable-products","Break Your Silver Layer on Purpose: Bad-Input Tests in Fabric",20260325,1],["2026-03-26-keeping-onelake-clean-under-delivery-pressure-why-governance-has-to-be-designed-before-scale","Keeping OneLake Clean: Design the Workspace Lifecycle Before Scale",20260326,1],["2026-03-27-orchestration-lessons-in-fabric-designing-pipelines-for-failure-not-the-happy-path","Fabric Pipeline Failure Paths: Catch the Error, Then Fail the Run",20260327,1],["2026-03-28-warehouse-modeling-in-fabric-preventing-metric-drift-through-ownership-rules","One Metric, One Home: Ownership Rules That Stop Drift in Fabric",20260328,1],["2026-03-29-kql-and-operational-awareness-using-kql-to-separate-noise-from-meaningful-changes","Noise or a Real Change? Three KQL Checks Before Anyone Gets Paged",20260329,1],["2026-03-30-operating-ai-apps-with-foundry-using-foundry-for-safer-model-lifecycle-management","Model Retirements in Foundry: Choose the Upgrade Policy on Purpose",20260330,0],["2026-03-31-llm-evaluation-journal-reducing-hallucinations-through-better-test-design","Designing LLM Test Cases That Catch Hallucinations",20260331,0],["2026-04-01-rag-engineering-log-fixing-retrieval-before-touching-prompts","Treat Retrieval Changes Like Schema Changes: A RAG Regression Gate",20260401,0],["2026-04-02-building-useful-ai-agents-tool-access-policies-that-improve-reliability","Testing Agent Tool Policies: Prove the Limits Hold",20260402,0],["2026-04-03-data-quality-work-that-actually-sticks-choosing-the-minimum-useful-set-of-quality-signals","Pruning Data Quality Checks: Keep, Demote, or Delete",20260403,1],["2026-04-04-keeping-ai-workloads-economical-setting-latency-budgets-per-user-journey","Latency Budgets as a Cost Control: Pricing Each AI User Journey",20260404,0],["2026-04-05-fabric-lakehouse-patterns-turning-messy-raw-zones-into-reliable-products","When a Slow Fabric Lakehouse Is Really a Raw Zone Problem",20260405,1],["2026-04-06-onelake-shortcuts-in-practice-why-governance-has-to-be-designed-before-scale","OneLake Shortcuts Are Dependencies: Inventory Them Before Scale",20260406,1],["2026-04-07-orchestration-lessons-in-fabric-debugging-pipeline-latency-before-it-becomes-a-fire-drill","Fabric Pipeline Latency: Find Where the Minutes Actually Go",20260407,1],["2026-04-08-warehouse-modeling-in-fabric-preventing-metric-drift-through-ownership-rules","When Two Fabric Reports Disagree: A Metric Drift Runbook",20260408,1],["2026-04-09-streaming-design-notes-in-fabric-using-kql-to-separate-noise-from-meaningful-changes","Store Changes, Not Readings: Shaping Noisy Streams in an Eventhouse",20260409,1],["2026-04-10-foundry-in-daily-engineering-work-moving-from-model-demos-to-governed-operations","Foundry Agent Versions as Releases: Git, Evals and Publishing",20260410,0],["2026-04-11-improving-model-quality-without-guesswork-tracking-groundedness-before-celebrating-fluency","Raising Groundedness Without Guesswork: Label the Failures First",20260411,0],["2026-04-12-what-improved-my-rag-pipeline-deciding-where-hybrid-search-is-worth-the-complexity","Hybrid Search for RAG: Test What the BM25 Leg Rescues",20260412,0],["2026-04-13-where-agent-systems-break-tool-access-policies-that-improve-reliability","Agent Tool Policy at the Gateway: MCP Through API Management",20260413,0],["2026-04-14-observability-for-data-products-using-failure-budgets-for-data-reliability","Failure Budgets for Data Products: SLOs for Fresh, Correct Tables",20260414,1],["2026-04-15-llm-cost-and-latency-notes-using-caching-where-it-actually-pays-off","Four LLM Caches and How to Tell Which One Will Pay Off",20260415,0],["2026-04-16-fabric-architecture-notes-where-i-separate-ingestion-from-curation","Ingestion vs Curation in Fabric: Where I Draw the Workspace Line",20260416,1],["2026-04-17-onelake-shortcuts-in-practice-balancing-speed-and-access-boundaries","Feeding AI Teams Through OneLake Shortcuts Without Over-Sharing",20260417,0],["2026-04-18-orchestration-lessons-in-fabric-how-i-keep-orchestration-readable-over-time","Readable Fabric Pipelines: Names, Boundaries and Config Off the Canvas",20260418,1],["2026-04-19-making-fabric-warehouse-boring-and-reliable-when-i-use-warehouse-tables-vs-lakehouse-shortcuts","Fabric Warehouse Tables or Lakehouse Shortcuts: Where Each Table Lives",20260419,1],["2026-04-20-real-time-intelligence-in-fabric-aligning-action-thresholds-with-business-impact","Pricing a Threshold: Tying Fabric Activator Rules to Business Impact",20260420,1],["2026-04-21-foundry-decisions-i-stand-behind-using-foundry-for-safer-model-lifecycle-management","Canary a Model Swap in Foundry: Sticky Splits and Version Stamps",20260421,0],["2026-04-22-how-i-evaluate-llm-changes-building-eval-sets-from-real-user-queries","Turning Production Queries into an LLM Eval Set You Can Trust",20260422,0],["2026-04-23-what-improved-my-rag-pipeline-why-citation-ux-matters-as-much-as-relevance","RAG Citations People Can Check: Treat Them as Part of the Answer",20260423,0],["2026-04-24-where-agent-systems-break-state-handling-patterns-that-reduce-agent-confusion","Where Agent State Breaks: Resume, Retries and Duplicate Runs",20260424,0],["2026-04-25-observability-for-data-products-turning-data-quality-from-blame-into-process","Blameless Reviews for Data Incidents: Ask Which Control Failed",20260425,1],["2026-04-26-practical-ai-performance-tuning-setting-latency-budgets-per-user-journey","Splitting an AI Journey's Latency Budget Across Its Steps",20260426,0],["2026-04-27-designing-better-lakehouse-flows-in-fabric-why-table-contracts-matter-before-notebooks-scale","Changing a Shared Fabric Table Without Breaking Its Notebooks",20260427,1],["2026-04-28-onelake-discipline-why-governance-has-to-be-designed-before-scale","Sensitivity Labels in OneLake: Decide Item Boundaries Before Scale",20260428,1],["2026-04-29-orchestration-lessons-in-fabric-debugging-pipeline-latency-before-it-becomes-a-fire-drill","Fabric Pipeline Deadlines: Alert on a Late Run Before Anyone Asks",20260429,1],["2026-04-30-fabric-warehouse-tradeoffs-building-models-analysts-can-trust-without-constant-hand-holding","Publish Only Verified Loads with Fabric Warehouse Snapshots",20260430,1],["2026-05-01-streaming-design-notes-in-fabric-keeping-streaming-dashboards-useful-after-week-one","Real-Time Dashboards in Git: Reviewable Changes and a Way Back",20260501,1],["2026-05-02-foundry-in-daily-engineering-work-using-foundry-for-safer-model-lifecycle-management","Output Contracts: Catch a Model Swap Before Downstream Systems Do",20260502,0],["2026-05-03-llm-evaluation-journal-treating-quality-as-a-product-metric","Does Your LLM Eval Score Predict Anything the Business Cares About?",20260503,0],["2026-05-04-rag-systems-that-hold-up-deciding-where-hybrid-search-is-worth-the-complexity","Hybrid Search in PostgreSQL: What It Costs to Own the Fusion",20260504,0],["2026-05-05-agent-design-notes-designing-fallback-behavior-before-launch","Agent Fallbacks Are a Launch Requirement, Not an Ops Task",20260505,0],["2026-05-06-data-quality-work-that-actually-sticks-separating-incident-response-from-root-cause-fixes","Write-Audit-Publish in Fabric: Stop Bad Data Before It Ships",20260506,1],["2026-05-07-llm-cost-and-latency-notes-using-caching-where-it-actually-pays-off","Why an LLM Response Cache Moves Your p50 but Rarely Your p95",20260507,0],["2026-05-08-designing-better-lakehouse-flows-in-fabric-turning-messy-raw-zones-into-reliable-products","Materialized Lake Views as a Silver Flow: What to Hand Over",20260508,1],["2026-05-09-onelake-discipline-building-discoverability-into-workspace-design","Findable by Design: Workspace Choices That Shape the OneLake Catalog",20260509,1],["2026-05-10-fabric-data-factory-notes-designing-pipelines-for-failure-not-the-happy-path","Rerun From Failed Activity in Fabric: Design for the Second Run",20260510,1],["2026-06-23-synapse-serverless-strings-varchar-8000-and-how-to-fix-it-across-spark-sql-power-bi","Synapse Serverless varchar(8000): Fixing Strings for Spark and Power BI",20260623,1],["2026-07-27-onelake-shortcuts-are-an-authorization-boundary-a-security-model-for-fabric","Whose Identity Reaches the Target? OneLake Shortcut Security",20260727,1],["2026-07-27-fabric-governance-as-automation-admin-scanner-rest-apis","Auditing a Fabric Tenant on a Schedule with the Scanner and Admin APIs",20260727,1],["2026-07-27-fabric-cicd-is-solved-your-tenant-isnt-tenant-as-code","Fabric Item CI/CD Is Mostly Solved. Your Tenant Isn't",20260727,1],["2026-07-29-agent-framework-harness-vs-plain-agent","Harness Agent or Plain Agent? What Agent Framework Now Decides for You",20260729,0],["2026-08-01-gpt-5-6-sol-terra-luna-tiering","GPT-5.6 Sol, Terra or Luna: Pick the Tier per Job, Not per App",20260801,0],["2026-08-05-model-router-cross-provider-agent-routing","Model Router Already Routes to Claude and Open Models: Govern the Pool",20260805,0],["2026-08-08-materialized-lake-views-event-driven-refresh","Event-Driven Refresh for Materialized Lake Views: Schedules Still Win",20260808,1],["2026-08-12-foundry-hosted-agents-ga-when-to-stop-self-hosting","Foundry Hosted Agents Are GA: When to Stop Running Your Own Containers",20260812,0],["2026-08-19-idempotent-writes-and-why-retries-duplicate-data","Idempotent Writes, and Why Retries Duplicate Data",20260819,1],["2026-08-19-claude-server-side-tools-in-foundry","Claude's Server-Side Tools in Foundry: What to Let the Provider Run",20260819,0],["2026-08-26-the-grain-of-a-table","The Grain of a Table: Declare It Before the First Join",20260826,1],["2026-08-26-postgresql-flexible-server-upgrade-strategy","PostgreSQL Major Upgrades on Azure: Validate Early, Don't Pay to Wait",20260826,1],["2026-09-01-direct-lake-tables-to-import-hybrid-models","Converting Direct Lake Tables to Import: Designing Hybrid Models",20260901,1],["2026-09-02-event-time-vs-processing-time","Event Time vs Processing Time: Know Which Clock Your Numbers Are On",20260902,1],["2026-09-03-fabric-runtime-2-upgrade-plan","Fabric Runtime 2.0 Is GA but Not Default: An Upgrade Plan",20260903,1],["2026-09-05-pbir-default-report-format-ga","PBIR Is Now the Default: What Changes for Report Source Control",20260905,1],["2026-09-08-fabric-data-agent-responses-api-migration","Fabric Data Agents Move to the Responses API: What Consumers Must Change",20260908,0],["2026-09-09-late-arriving-data","Late-Arriving Data: Deciding When a Day Is Actually Done",20260909,1],["2026-09-11-gpu-accelerated-fabric-warehouse","GPU-Accelerated Fabric Warehouse: How to Read the 7x Claim",20260911,1],["2026-09-14-power-platform-release-waves-retired","Release Plans Are Gone: Tracking Power Platform Change in 2026",20260914,0],["2026-09-16-data-skew-in-spark","Data Skew: Why 199 Tasks Finish in Seconds and One Takes an Hour",20260916,1],["2026-09-17-eventstream-workspace-identity-event-hubs","Workspace Identity for Eventstream Sources: Retire the Shared Access Key",20260917,1],["2026-09-23-reading-a-spark-query-plan","Reading a Spark Query Plan: Ten Minutes That Explain a Two-Hour Job",20260923,1],["2026-09-23-gpt-6-in-foundry-upgrade-discipline","GPT-6 Landed in Foundry: Upgrade Discipline Beats Upgrade Speed",20260923,0],["2026-09-25-hosted-agent-egress-controls","Egress Policy Belongs on the Agent, Not in Its Code",20260925,0],["2026-09-27-foundry-routines-vs-workflows","Foundry Routines Are GA: Scheduled Agents Without Building a Scheduler",20260927,0],["2026-09-30-partition-pruning","Partition Pruning: The Fastest Data Is the Data You Never Read",20260930,1],["2026-09-30-diskann-ga-azure-sql-vector-store","DiskANN in Azure SQL Is GA: Do You Still Need a Separate Vector Store?",20260930,0],["2026-10-01-fabric-iq-copilot-semantic-model-governance","Fabric IQ Goes GA in Copilot: Your Semantic Model Is Now an Agent API",20261001,0],["2026-10-02-bigquery-mirroring-ga-multicloud-fabric","BigQuery Mirroring Is GA: Zero-ETL Multicloud Has a Bill Too",20261002,1],["2026-10-03-apache-ossie-semantic-interchange","Apache Ossie and the Portable Semantic Layer: What It Fixes and What It Doesn't",20261003,1],["2026-10-05-fabric-data-engineering-agent-guardrails","Fabric's Data Engineering Agent: Set Guardrails Before Autonomy",20261005,0],["2026-10-07-the-small-files-problem","The Small Files Problem: How Tables End Up With Two Million Files",20261007,1],["2026-10-07-content-understanding-vs-document-intelligence","Content Understanding vs Document Intelligence: Choose by Shape",20261007,0],["2026-10-08-approximatedistinctcount-direct-lake","APPROXIMATEDISTINCTCOUNT in Direct Lake: When 1.6% Error Is Fine",20261008,1],["2026-10-14-slowly-changing-dimensions","Slowly Changing Dimensions Without Corrupting Your Facts",20261014,1],["2026-10-21-schema-evolution","Schema Evolution: Surviving the Day Upstream Renames a Column",20261021,1],["2026-10-22-haiku-5-5-vs-opus-5-5-claude-code","Haiku 5.5 vs Opus 5.5 on Real Repo Chores in Claude Code",20261022,0],["2026-10-23-az-guard-claude-code-mod","I Put a Guard on az in a Claude Code Mod, Then Tried to Get Past It",20261023,0],["2026-10-24-blog-post-to-claude-slides-deck","Turning a Blog Post into a Deck with Claude Slides",20261024,0],["2026-10-25-code-review-levels-planted-bugs","I Planted Five Bugs to Test Claude Code's Review Levels",20261025,0],["2026-10-26-claude-json-schema-post-audit","Auditing 30 of My Posts with claude -p --json-schema",20261026,0],["2026-10-27-claude-effort-levels-xhigh","What xhigh Effort Bought Me on Short Tasks: Tokens, Not Answers",20261027,0],["2026-10-28-claude-code-monitor-tool-vs-polling","Claude Code's Monitor Tool vs Polling: What Actually Happened",20261028,0],["2026-10-29-fabric-data-agent-determinism-real-nem-data","Fabric Data Agent Accuracy Is a Distribution, Not a Number",20261029,0]]