Every latency dashboard has the same shape: a line for the average request duration and a line for p99, with
Continue readingPrometheus Histograms and Percentiles: Measuring Latency Without Lying
Every team starts logging with good intentions and ends up with a bill. Somewhere between the first incident and the
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
For years, adding tracing to a Go service meant wrapping every handler, decorating every client, and threading context through every
Continue readingDistributed Tracing in Go with OpenTelemetry: A Setup That Actually Holds Together
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
Your microservice takes eleven seconds to answer a request that used to take two hundred milliseconds. The on-call engineer opens
A request fails at 2 AM. The on-call engineer greps through logs looking for a trace ID, finds seventeen lines
Continue readingStructured Logging in Go With slog: Handlers, Sampling, and Dynamic Levels
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