Rate Limiting Strategies for Production APIs: From Token Buckets to Distributed Throttling
Every public API has a ceiling. Whether you’re running a SaaS platform, a microservice cluster, or a simple REST endpoint,
Every public API has a ceiling. Whether you’re running a SaaS platform, a microservice cluster, or a simple REST endpoint,
Every codebase has one: a function that started as a simple if/else and grew into a 200-line switch statement with
When a single database holds all your data, transactions are straightforward: begin, commit, rollback. But in a microservices architecture, where
Continue readingThe Saga Pattern: Distributed Transactions Without the Pain
Network requests fail. Timeouts happen. Retries are inevitable. If your API charges a customer’s credit card twice because a TCP
Continue readingBuild APIs That Survive Retries: Idempotency Keys in Go
Most unit tests are liars. They pass confidently with a handful of carefully chosen examples, then fail spectacularly in production
Continue readingStop Guessing Edge Cases: Property-Based Testing in Go and Python
Production debugging without proper observability is like searching for a needle in a haystack — blindfolded, with mittens on. You
The first half of 2026 has already delivered a wave of releases that reshape how we think about performance, language
Event-driven architecture is the default for most microservices systems today. Services communicate by publishing events to a message broker —
Continue readingThe Outbox Pattern: Solving the Dual-Write Problem in Event-Driven Microservices
Every production service eventually faces the same question: how do you protect it from being overwhelmed? Whether it’s a sudden
Continue readingThe Art of Rate Limiting: 4 Algorithms Every Engineer Should Know