Practical articles on AI, DevOps, Cloud, Linux, and infrastructure engineering.
A practitioner's guide to rate limiting algorithms, where to enforce them, and how to make them work across many instances with Redis.
A practical look at REST and GraphQL versioning, breaking changes, deprecation policy, and the pragmatic default we actually reach for.
A practical guide to choosing between GraphQL and REST based on how your clients fetch data, cache, and evolve over time.
A practical comparison of gRPC and REST across performance, streaming, tooling, and browser support to help you pick the right one.
A practical guide to designing REST APIs that stay predictable, easy to consume, and safe as your service grows.
A developer-friendly walk through DNS resolution, record types, TTL, and the caching quirks that cause real production bugs.
A practical tour of the core load balancing algorithms, how each distributes traffic, and when to reach for one over another.
You don't need a CCNA to ship reliable services, but you do need the core ideas. This is the map: DNS, TCP, TLS, proxies, and CDNs, minus the jargon.
A practical, step-by-step guide to putting Nginx in front of your app for TLS, routing, and load balancing.
A developer-focused walkthrough of the TLS 1.3 handshake, certificate trust, forward secrecy, and how to debug the errors you actually hit.
Practical habits that turn AI coding assistants from a slot machine into a reliable pair, from context and prompts to verification.
Every AI coding tool demos beautifully. The real differences show up in your editor, your codebase, and your bill. This is the map to what each is best at.
