1 min read
Azure Files: Managed File Shares in the Cloud
Azure Files is the managed file share service I reach for when an application needs shared file access and rewriting it to use blob storage isn't…
Blog
Thoughts on data engineering, cloud architecture, and technology. 2205 articles and counting.
Showing 24 of 2205 posts — page 76 of 92
1 min read
Azure Immutable Storage: WORM Compliance for Regulatory Requirements
Immutable storage in Azure provides the strong data protection guarantees required for regulatory compliance, ensuring your critical data remains…
1 min read
Azure Blob Lifecycle Management: Automating Data Tiering and Deletion
Lifecycle management policies automate the tedious work of data tiering and retention, ensuring compliance while optimizing storage costs without manual…
1 min read
Azure Storage Tiers: Optimizing Costs with Hot, Cool, and Archive
Azure Storage tiers provide a powerful mechanism for balancing performance and cost, enabling organizations to store massive amounts of data economically…
9 min read
Using WSL2 (Windows Subsystem for Linux) for Blockchain Development
In the past, I've been using my Macbook Pro to do all things blockchain and smart contracts development. One of the hurdles I encountered in the past is…
2 min read
Redis Persistence Options in Azure: RDB and AOF Explained
Redis persistence is the configuration choice that determines what happens to your cache data when the instance restarts—and for most Azure Cache for Redis…
1 min read
Redis Clustering in Azure: Scaling for High-Throughput Workloads
Redis clustering provides the horizontal scalability needed for demanding workloads while maintaining Redis's sub-millisecond performance characteristics.
1 min read
Azure Cache for Redis: High-Performance Caching Strategies
Azure Cache for Redis is the caching layer I add to almost every production Azure application that has read-heavy patterns with data that doesn't change on…
1 min read
Time-To-Live (TTL) in Azure Cosmos DB: Automatic Data Expiration
TTL is a powerful feature for automatic data lifecycle management, reducing storage costs and ensuring compliance with data retention policies without…
1 min read
Implementing Conflict Resolution Policies in Cosmos DB
Proper conflict resolution is essential for multi-region write scenarios. Choose the right strategy based on your data semantics and ensure thorough testing…
10 min read
What are these blockchain and crypto tokens?
So you keep hearing or reading about "tokens", these "cryptos", the "blockchain bitcoins", and so on. It's been quite some time now that it has involved me…
1 min read
Cosmos DB Multi-Region Writes: Active-Active Global Architecture
Multi-region writes enable true active-active architectures, but require careful design to handle the inevitable conflicts that arise from concurrent…
1 min read
Cosmos DB Global Distribution: Building Planet-Scale Applications
Global distribution in Cosmos DB provides the foundation for building truly global, resilient applications that serve users with consistent low latency…
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Understanding Cosmos DB Consistency Levels: Tradeoffs and Best Practices
Consistency levels in Cosmos DB give you fine-grained control over the CAP theorem tradeoffs, enabling you to optimize for your specific application…
1 min read
Azure Cosmos DB Partition Strategies for Optimal Performance
Proper partition key design is fundamental to Cosmos DB success. Take time to analyze your access patterns and data distribution before finalizing your…
1 min read
Azure SQL Automatic Tuning: Self-Healing Database Performance
Azure SQL's Automatic Tuning is the machine learning system that acts on Query Store data to make index and query plan decisions that would otherwise…
1 min read
Query Store Deep Dive: Your Database's Flight Recorder
Query Store transforms database performance troubleshooting from guesswork into data-driven analysis, making it an indispensable tool for maintaining…
1 min read
Intelligent Query Processing in Azure SQL: Automatic Performance Optimization
IQP represents a significant step toward self-tuning databases, reducing the manual effort required to optimize query performance while automatically…
1 min read
Azure SQL Database Serverless: Auto-Scaling and Auto-Pause for Variable Workloads
Serverless is perfect for dev/test environments, infrequently used applications, and workloads with predictable quiet periods. For consistent…
1 min read
Mastering Azure SQL Elastic Pools for Cost-Effective Multi-Tenant Solutions
The key benefit of elastic pools is resource sharing. If you have 100 databases that each spike at different times, you don't need to provision for 100…
1 min read
Azure SQL Hyperscale: The Ultimate Database Scaling Solution
Traditional database architectures couple compute and storage tightly together. Hyperscale breaks this coupling by introducing a distributed storage…
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Scheduling Tasks with Azure Functions Timer Triggers
Create a scheduled function: Common CRON patterns: Implement patterns for tasks that may exceed timeout: Ensure single instance execution: Configure…
2 min read
Building Reliable Queue-Triggered Azure Functions
Queue-triggered Azure Functions are the pattern I recommend most often for decoupling work that doesn't need to happen synchronously. The model is simple…
1 min read
Azure WebJobs for Background Processing
Understanding when to use each: Feature WebJobs Azure Functions Hosting Part of App Service Standalone or App Service Scaling With App Service plan…