Structured Logging in Go: slog, OpenTelemetry, and the Fields That Matter in Production
At 02:14 on a Sunday, an alert fires: payment success rate dropped four percent. You run kubectl logs across a
At 02:14 on a Sunday, an alert fires: payment success rate dropped four percent. You run kubectl logs across a
Your service was up 99.95% of the time last month. Great number — until you realize that users filed complaints
Continue readingSLOs and Error Budgets in Practice: Building Reliability You Can Alert On
Every Go program ships with a garbage collector, and most run happily with the defaults. That changes the moment you
Continue readingGo GC Tuning with GOGC and GOMEMLIMIT: A Practical Guide for Containers
When a request crosses five services and the latency budget blows up, a single log line rarely tells you where
Continue readingDistributed Tracing in Go with OpenTelemetry
Every Prometheus failure I have debugged that was not a network problem eventually came down to the same thing: too
Every on-call rotation has a story about the alert that fires at 3 a.m. for something that isn’t wrong. CPU
Continue readingSLOs You Can Actually Alert On: Error Budgets and Burn Rates in Prometheus
You fire up your dashboard at 3 AM. Error rates are climbing. The checkout service is returning 500s. Your architecture
Continue readingDistributed Tracing in Go with OpenTelemetry: From Zero to Production
When production incidents happen, the first question is always “what went wrong?” The answer lives in your logs — but
Continue readingStructured Logging in Go: A Practical Guide to log/slog
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
OpenTelemetry has had a remarkable 2026. What started as a project to unify traces, metrics, and logs has grown into