Rust Async Runtime Deep Dive: Tokio Architecture
Tokio is Rust’s killer app for network services. I don’t say that lightly. After spending years building concurrent systems in Go and …
Read Article →Performance
13 articles about performance development, tools, and best practices
Python Data Pipelines with Polars and DuckDB
I’m going to say something that’ll upset a lot of people: pandas had its run. Polars is just better.
I don’t mean that lightly. I …
Read Article →Rust WebAssembly: Building High-Performance Web Applications
Last year I ported an image processing pipeline from JavaScript to Rust compiled to WebAssembly. The JS version took 1.2 seconds to apply a chain of …
Read Article →AWS Aurora Serverless v2: Architecture and Performance Guide
Aurora Serverless v2 is what v1 should have been. I don’t say that lightly — I ran v1 in production for two years and spent more time fighting …
Read Article →Python Performance Optimization: Profiling and Tuning Guide
Don’t optimize until you’ve profiled. I’ve watched teams rewrite entire modules that weren’t even the bottleneck. Weeks of …
Read Article →Kubernetes Horizontal Pod Autoscaling with Custom Metrics
CPU-based autoscaling is a lie for most web services. There, I said it.
I spent a painful week last year watching an HPA scale our API pods from 3 to …
Read Article →Go Concurrency Patterns for Microservices
Goroutines are cheap. Goroutine leaks are not.
I learned this the hard way at 2am on a Tuesday, staring at Grafana dashboards showing one of our …
Read Article →Python Async Programming: asyncio, Tasks, and Real-World Patterns
I avoided asyncio for years. Callbacks, event loops, futures — it all felt like unnecessary complexity when threads worked fine. Then we had an API …
Read Article →AWS Lambda Cold Starts: Causes, Measurement, and Mitigation Strategies
I’ve lost count of how many times someone’s told me “Lambda has cold start problems” like it’s some fatal flaw. It …
Read Article →GraphQL API Design Best Practices: Building Flexible and Efficient APIs
GraphQL has transformed API development by enabling clients to request exactly the data they need, reducing over-fetching and under-fetching that …
Read Article →Implementing Distributed Tracing: A Practical Guide for Modern Applications
In today’s world of distributed systems and microservices architectures, understanding the flow of requests across dozens or even hundreds of …
Read Article →Cloud Networking Best Practices: Designing Secure and Scalable Architectures
Networking is the foundation of cloud infrastructure, connecting your applications, services, and data across regions and to the internet. As …
Read Article →Designing Scalable Systems in AWS: Architecture Patterns for Growth
In today’s digital landscape, building systems that can scale effectively is no longer a luxury—it’s a necessity. Whether you’re …
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