The Circuit Breaker Pattern in Go: Preventing Cascading Failures in Distributed Systems
When one service in a distributed system starts failing, the cascade can bring down everything downstream. A slow database connection
When one service in a distributed system starts failing, the cascade can bring down everything downstream. A slow database connection
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
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 applications store data the same way: overwrite the current state and move on. A customer changes their address? Update
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