Structured Logging That Survives Production: Schemas, Sampling, and the Cost of Every Line
Every team starts logging with good intentions and ends up with a bill. Somewhere between the first incident and the
Tag: go
Timeouts, Retries, and Circuit Breakers: HTTP Clients That Fail Gracefully in Go
Every production incident report with a root cause of “the downstream service was slow” is really a story about a
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Client-Side Caching with Redis: Invalidation Is the Whole Design
Most services read the same rows over and over. A user profile endpoint gets hammered by the same traffic pattern
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Pagination That Doesn’t Fall Apart at Page 50,000: Keyset Cursors Done Right
Almost every API starts its pagination life with LIMIT 20 OFFSET 40. It’s the pattern every ORM hands you, it
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Distributed Tracing in Go with OpenTelemetry: A Setup That Actually Holds Together
For years, adding tracing to a Go service meant wrapping every handler, decorating every client, and threading context through every
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GOGC, GOMEMLIMIT, and the Write Barrier: How the Go Garbage Collector Really Paces Itself
Ask most Go developers how the garbage collector works and you’ll get one of two answers: “it’s concurrent and low-pause”
Distributed Rate Limiting in Go: Token Buckets, Redis, and the Fail-Open Decision
Rate limiting looks like a solved problem until the day your API runs on more than one machine. The in-memory
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The Transactional Outbox in Go: Reliable Event Publishing Without Distributed Transactions
Here is one of the oldest bugs in distributed systems, still shipping to production every week: a service commits a
PostgreSQL Connection Pooling in Go: Sizing pgxpool, Reading Its Stats, and When PgBouncer Earns Its Keep
Every Go service that talks to PostgreSQL ends up managing a pool of database connections, and almost every team gets
API Versioning Without Tears: Sunset Headers, Major Versions, and a Go Implementation
Sooner or later every API team hits the wall: a client depends on behavior you need to change. The field