Metrics and Dashboards with Prometheus
Expose a /metrics endpoint from a Node.js service, scrape it with Prometheus, learn PromQL's rate() and histogram_quantile() patterns, and build a Grafana dashboard for requests/sec, p95 latency, and error ratio.
Prerequisites: Structured Logging Fundamentals.
Prometheus doesn't wait for your app to push data — it scrapes a plain-text /metrics HTTP endpoint on your service at a fixed interval. Each metric is a name plus a set of key/value labels (a multi-dimensional model), and PromQL is the query language you use to slice, rate, and aggregate that data. This project builds the full loop: your app exposes metrics, Prometheus scrapes and stores them, and Grafana turns them into a dashboard.
Current release line: Prometheus is on the 3.x major series (v3.12 was the latest generally-available release verified for this project; a 3.13 release candidate was in progress). If you're following this months later, check prometheus.io/download for the current stable tag before pinning a version.
Test what you just learned
Self-testing is one of the best ways to retain new skills. Unlock project quizzes to check your understanding.
Log in to unlock0 / 7 complete