Practical articles on AI, DevOps, Cloud, Linux, and infrastructure engineering.
Kafka and RabbitMQ both move messages, but they solve different problems, and picking the wrong one shows up in your on-call rotation later.
Synchronous calls couple your services together and fail together. Events let systems react instead of ask. This is the map: the patterns, the messaging tools, and the delivery guarantees that make it work.
A good API is a promise you can keep for years. This is the map: the conventions, the protocols, and the details that make an API pleasant to use and safe to change.
Offset pagination is easy until your dataset grows or shifts under load; here's why cursor pagination wins for large, changing, and public APIs.
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.
