Networks are unreliable. Clients retry requests. Messages get delivered twice. In a distributed system, the question isn’t whether a duplicate
Continue readingImplementing Idempotency in Go: Keys, Stores, and Patterns for Reliable APIs
Every public API has a ceiling. Whether you’re running a SaaS platform, a microservice cluster, or a simple REST endpoint,
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
Not “secret knowledge.” More like scars, pattern recognition, and things you only really believe after seeing them fail in production.
Continue readingHard-Won Engineering Truths: Lessons That Survive Every Tech Cycle
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