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
Constructors in Go are simple when a type has one or two fields. But the moment you start building something
Continue readingMastering the Functional Options Pattern in Go
Every week, GitHub surfaces projects that push the boundaries of what’s possible — sometimes by solving practical problems, sometimes by
Most microservice architectures still rely on an outdated security model: trust everything inside the network, and defend the perimeter. The
Continue readingZero Trust Microservices: Implementing mTLS in Go