Guides to logs, metrics, traces and monitoring architecture. Build useful dashboards, investigate application behavior and manage telemetry collection, retention and cost.
observability
Managing multiple containers manually becomes a nightmare as your infrastructure grows. When you need Prometheus collecting metrics, Grafana visualizing data, databases storing information, and various exporters gathering system stats, coordinating these services individually leads to configuration drift, networking issues, and deployment inconsistencies. Before diving into Docker Compose, make sure you
observability
High-cardinality metrics create many distinct time series. If your monitoring memory usage, storage or query latency grows faster than the infrastructure you run, inspect the labels before adding capacity. Labels such as user_id, request_id or a URL containing a customer identifier can add new series continuously. The useful
observability
When Prometheus Runs Out of Room You've got Prometheus running, it's scraping your endpoints every 15 seconds, Grafana dashboards look great, and alerting is working. Life is good. Then someone asks "can we look at metrics from six months ago?" and you realize your