Prometheus

A book-shaped table of contents for Prometheus: monitoring foundations through architecture, data model, instrumentation, service discovery, PromQL, alerting, production operation, PCA certification, and MAANG interview prep — cross-linking existing notes instead of duplicating them.

2 — Time Series Fundamentals

The time series data model behind Prometheus — metric names, labels, timestamps, samples, and how PromQL classifies the data it operates on.

3 — Prometheus in the Observability Ecosystem

Where Prometheus sits in the CNCF landscape — its pull-based cloud-native origins, its companion projects, and where this book does (and doesn't yet) connect it to the wider stack.

2 — Exporters

What a Prometheus exporter is, installing Node Exporter as a systemd service, and monitoring the container runtime itself via Docker Engine metrics and cAdvisor.

1 — Discovery Mechanisms

How Prometheus finds scrape targets — static configs, file-based service discovery with watched JSON files, and DNS service discovery via SRV/A records — plus validating and reloading configuration safely.