Observability terms
You cannot fix what you cannot see
Running software in production without observability is flying blind. Metrics, logs, traces, dashboards, alerting, and the three pillars of observability give you the insight needed to understand what your system is actually doing under real conditions. This category covers the tools, patterns, and vocabulary of production-grade visibility.
P50/P95/P99 Latency Percentiles
Latency percentiles (P50, P95, P99) tell you what most users experience — P99 means '99% of requests are faster than this', revealing the worst experiences that averages hide.
2mo ago
observability beginner
Prometheus Concepts
Prometheus is a pull-based metrics system — services expose /metrics in text format, Prometheus scrapes them, stores as time series, and evaluates alerting rules via PromQL.
2mo ago
observability intermediate
PHP Observability PHP 8.0+
The three pillars of observability in PHP applications — structured logs, application metrics, and distributed traces — and the tools that provide them (Monolog, Prometheus, OpenTelemetry).
2mo ago
observability intermediate
Prometheus scrapes and stores time-series metrics; Grafana visualises them — together they provide open-source metrics monitoring and alerting for any application.
2mo ago
observability advanced