Idempotency Keys: Making Your API Safe for Retries
Every web developer has been there: a user clicks “Submit Payment” and nothing happens. The spinner keeps spinning. They click
Continue readingIdempotency Keys: Making Your API Safe for Retries
Every web developer has been there: a user clicks “Submit Payment” and nothing happens. The spinner keeps spinning. They click
Continue readingIdempotency Keys: Making Your API Safe for Retries
Every engineering team eventually faces the same daunting question: what do we do with the legacy monolith? The temptation is
Most systems today use CRUD: read the current state, modify a row, write it back. The database remembers where things
Continue readingEvent Sourcing in Practice: Building a System That Never Forgets
Docker image builds are one of those things that quietly accumulate technical debt. You start with a simple Dockerfile, and
Continue readingFaster Docker Builds with BuildKit: Cache Mounts, Remote Caching, and Bake
Distributed transactions are one of those problems that look simple until you split your monolith into services. In a single
Continue readingThe Saga Pattern: Coordinating Distributed Transactions in Microservices
Automated tests that hit real databases, live APIs, and production file systems are slow, flaky, and expensive to maintain. The
Continue readingTest Doubles Demystified: Stubs, Spies, Mocks, and Fakes in Go
Every week, the open-source community ships projects that make you stop and think — sometimes because they’re audacious, sometimes because
Every application that updates a database and then does something else — pushes to a search index, invalidates a cache,
Continue readingChange Data Capture with PostgreSQL and Debezium: Building Reliable Event Pipelines
Microservices promised us smaller, more maintainable codebases. They delivered — along with a debugging nightmare. When a request flows through
Continue readingOpenTelemetry in Go: From Zero to Distributed Tracing
Most applications start with a simple mental model: one database, one set of tables, and CRUD operations that read and
Continue readingCQRS in Practice: Splitting Reads and Writes for Scalable Systems