For fifteen years, I built React applications the same way everyone else did: render everything on the client, fetch data with useEffect, and watch the bundle size grow with every new feature. Then React Server Components arrived, and I had to unlearn almost everything I thought I knew about frontend architecture. React Server Components Architecture:… Continue reading
Tag: Performance
BigQuery Unleashed: Building Enterprise Data Warehouses That Scale to Petabytes
Introduction: BigQuery stands as Google Cloud’s crown jewel—a serverless, petabyte-scale data warehouse that has fundamentally changed how enterprises approach analytics. This comprehensive guide explores BigQuery’s enterprise capabilities, from columnar storage and slot-based execution to advanced features like BigQuery ML, BI Engine, and real-time streaming. After architecting data platforms across all major cloud providers, I’ve found… Continue reading
Tips and Tricks – Use Multi-Stage Docker Builds for Smaller Images
Reduce container image size by separating build and runtime stages.
Tips and Tricks – Use Web Workers for Heavy Computations
Move CPU-intensive tasks off the main thread to keep the UI responsive.
Tips and Tricks – Use functools.cache for Automatic Memoization
Cache expensive function results automatically with the built-in cache decorator.
Tips and Tricks – Use Generators for Memory-Efficient Data Processing
Process large datasets without loading everything into memory using Python generators.
Tips and Tricks – Use ValueTask for Hot Async Paths
Replace Task with ValueTask in frequently-called async methods that often complete synchronously.
Tips and Tricks – Use Span for Zero-Allocation String Parsing
Eliminate heap allocations when parsing strings by using Span
The Python Renaissance: Why 2025 Is the Year Everything Changed for Data Engineers
Something remarkable happened in the Python ecosystem over the past year. After decades of incremental improvements, we’ve witnessed a fundamental shift in how data engineers approach their craft. The tools we use, the patterns we follow, and even the way we think about data pipelines have all undergone a transformation that I believe marks a… Continue reading
Azure Traffic Manager: A Solutions Architect’s Guide to Global DNS-Based Load Balancing
In the world of globally distributed applications, ensuring users connect to the optimal endpoint is crucial for performance and reliability. Azure Traffic Manager stands as Microsoft’s DNS-based traffic load balancer, enabling you to distribute traffic across global Azure regions and external endpoints. After architecting numerous multi-region deployments, I’ve come to appreciate Traffic Manager as an… Continue reading