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
Go’s error handling gets a lot of attention — and a lot of criticism. The familiar if err != nil
Continue readingEffective Error Handling in Go: From `if err != nil` to `errors.AsType`
Every developer who has worked with microservices eventually hits the same wall: a single business operation needs to touch multiple
When one service in a distributed system starts failing, the cascade can bring down everything downstream. A slow database connection
Business rules have a nasty habit of multiplying. What starts as a simple if check grows into nested conditionals scattered
Continue readingThe Specification Pattern in Go: Composable Business Rules Without the Spaghetti
CQRS and Event Sourcing: Building an Order System from Scratch in Go Most of us build CRUD services by default:
Continue readingCQRS and Event Sourcing: Building an Order System from Scratch in Go
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