Distributed Rate Limiting in Go: GCRA, Redis, and the Pitfalls Nobody Warns You About
Every production rate limiter has two layers. The first layer is the algorithm: token bucket, leaky bucket, fixed window, sliding
Every production rate limiter has two layers. The first layer is the algorithm: token bucket, leaky bucket, fixed window, sliding
You hit “Place Order,” the spinner hangs for ten seconds, and you tap the button again. Now the fear sets
Continue readingIdempotency Keys Done Right: Building Retry-Safe APIs That Never Double-Charge
Here is a failure mode that shows up in every system with more than two backends: round robin distributes requests
Continue readingLoad Balancing Beyond Round Robin: Least Outstanding Requests and Consistent Hashing
Sooner or later, every API designer hits the pagination wall. The endpoint works fine in staging, then production traffic arrives
Continue readingAPI Pagination Strategies: Offset, Cursor, and Relay Connections Done Right
Every API with more than a handful of consumers eventually faces the same problem: an endpoint or field you designed
Continue readingDeprecating API Endpoints Without Breaking Consumers: Deprecation and Sunset Headers
JWTs are everywhere because they solve an ugly problem: how does a stateless service know who’s calling without a database
Every API that returns a list eventually has to answer the same question: how do you hand out a million
Every API you ship is a promise. Clients hardcode your URLs, parse your field names, and schedule work around your
Continue readingAPI Versioning Strategies: Path vs Header, Calendar Dates, and Graceful Sunsets
The network drops the connection two seconds after your client sends the payment request. Did the charge go through? Your
Continue readingIdempotency Keys: Making API Retries Safe by Design
Somewhere between the first integration and the hundredth, every API team hits the same wall: the change you need to