1 min read
Infrastructure as Code Maturity: Beyond the Basics
IaC maturity in 2021 meant treating infrastructure code with the same rigor as application code. The tools support it; the discipline makes it work.
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Thoughts on data engineering, cloud architecture, and technology. 2205 articles and counting.
Showing 24 of 2205 posts — page 71 of 92
1 min read
CI/CD for Machine Learning: Building Reliable ML Pipelines
ML CI/CD in 2021 became essential for production systems. The tooling caught up with the need, and now there's no excuse for manual deployments.
1 min read
Model Monitoring in Production: Detecting Drift Before It's Too Late
Model monitoring in 2021 became non-negotiable for production ML. The tools improved, but the discipline of continuous monitoring is what separates…
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Feature Engineering Best Practices for Production ML
Feature engineering in 2021 became more systematic and production-oriented. The ad-hoc notebook approach is giving way to proper engineering practices.
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Data Lakehouse Patterns: Best of Both Worlds
The lakehouse architecture proved its value in 2021. Organizations are consolidating their data warehouses and data lakes into unified lakehouses, reducing…
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Data Mesh: From Concept to Practice
Data mesh isn't a technology choice - it's an organizational paradigm shift. 2021 was about understanding it; 2022 will be about implementing it.
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Event-Driven Architecture Patterns for Modern Applications
Event-driven architecture in 2021 moved from architectural pattern to practical implementation. The tools support it, the patterns are proven, and the…
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The Serverless Evolution: Where We Landed in 2021
Serverless in 2021 proved it's not just for simple APIs. Complex, stateful, event-driven applications are running successfully in production. The technology…
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Kubernetes Adoption in the Enterprise: Lessons from 2021
Most enterprises settled on managed Kubernetes. Azure Kubernetes Service (AKS) became the default choice for Azure shops: Flux and ArgoCD emerged as the…
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AI and Machine Learning Trends: What 2021 Taught Us
2021 proved that AI is no longer experimental - it's infrastructure. The focus has shifted from "can we do ML?" to "how do we do ML responsibly and reliably?"
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Data Engineering Trends That Defined 2021
Data engineering in 2021 matured from a support function to a strategic capability. The tools improved, patterns solidified, and the role gained the…
1 min read
Azure 2021 Year in Review: The Platform That Kept Evolving
Arc-enabled data services brought Azure SQL and PostgreSQL Hyperscale to any infrastructure, a game-changer for hybrid scenarios.
5 min read
Microsoft Ignite 2021 Recap: Looking Forward to the Intelligent Cloud
Ignite Fall 2021 was dense with announcements—Azure Container Apps, Chaos Studio, Load Testing, Service Connector, Azure Developer CLI, Arc-enabled data…
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Microsoft Teams Integration with Azure: Building Collaborative Apps
Microsoft Teams integration with Azure enables powerful collaborative applications. Whether building bots, tabs, or webhooks, the combination provides a…
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Azure Communication Services: Build Communication Apps with Azure
Azure Communication Services enables developers to build rich communication experiences that can interoperate with Microsoft Teams. Whether you need voice…
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Azure Container Apps Preview: Serverless Containers Made Simple
Azure Container Apps provides a sweet spot between serverless functions and full Kubernetes - the power of containers without the operational complexity of…
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Azure Developer CLI Preview: Streamlined Cloud Development
Azure Developer CLI represents a significant shift toward developer productivity. By providing high-level commands and proven templates, it reduces the…
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Azure Service Connector: Simplified Service-to-Service Connections
Azure Service Connector eliminates the boilerplate of connecting services while implementing security best practices. It's a significant productivity boost…
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OpenTelemetry with Azure: Vendor-Neutral Observability
OpenTelemetry provides a future-proof approach to observability. By using vendor-neutral instrumentation with Azure Monitor as the backend, you get the…
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Azure Monitor Application Insights: Deep Observability for Applications
Application Insights provides the deep observability needed for modern applications. Combined with Azure Monitor's broader capabilities, it enables…
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Azure Load Testing: Cloud-Native Performance Testing
Azure Load Testing makes performance validation accessible and integrated into modern DevOps workflows. By catching performance regressions early, you can…
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Azure Chaos Studio: Chaos Engineering for Resilient Applications
Chaos engineering is the practice of experimenting on a system to build confidence in its ability to withstand turbulent conditions. Netflix pioneered this…
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Azure Automanage: Automated VM Management Best Practices
Azure Automanage transforms VM management from a series of manual tasks into an automated, best-practice-driven process. It's ideal for organizations that…
1 min read
Azure Stack HCI: Hyperconverged Infrastructure with Azure Integration
Azure Stack HCI provides a modern hyperconverged infrastructure platform with deep Azure integration. It's ideal for organizations that need on-premises…