When to pick Kafka vs NATS vs RabbitMQ. Semantics, throughput numbers, ordering and persistence guarantees, operational cost, and a decision tree based on what you’re actually building.
How to design REST APIs that age well: resource modeling, HTTP method semantics, status codes, structured errors, pagination, idempotency, and versioning.
A practical comparison of rate limiting algorithms (fixed window, sliding window, leaky bucket, token bucket), production-ready Redis implementations, and the headers your API should return.
How to use Redis as a cache properly — patterns (cache-aside, read-through, write-behind), key design, TTLs, invalidation, and the production gotchas to avoid.