Every team that adopts SLOs eventually hits the same wall: the service is “up 99.95% of the time,” nobody knows
Continue readingMulti-Window, Multi-Burn-Rate Alerting: SLO Pages That Don’t Cry Wolf
Eventually the alert fires at 3 a.m.: your Prometheus is consuming more memory than the database it monitors, queries that
Continue readingPrometheus Cardinality: Why Your TSDB Is Drowning and How to Stop It
Every codebase has a logging moment of reckoning. It arrives when someone has to debug a production incident at 2
Continue readingStructured Logging in Go: A Practical slog Field Guide
Most teams don’t have an alerting problem; they have an alerting volume problem. The on-call rotation drowns in alerts that
Continue readingBurn-Rate Alerting on SLOs: Multiwindow Alerts in Prometheus That Don’t Flap
Every Prometheus outages post-mortem tells the same story in a slightly different costume. The server ran fine for months, then
Continue readingPrometheus Cardinality Explosions: Why Your Monitoring Server Ran Out of Memory
Every team says they care about reliability, but very few can answer the follow-up question: how reliable, exactly, and how
Continue readingSLOs and Error Budgets: The Math That Decides When to Ship and When to Stop
Every Prometheus failure I’ve seen in production started the same way: someone added a label. A user ID on 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