🔥 Prometheus

Prometheus is the primary metrics collection and storage engine used in this homelab. It provides a unified, scalable way to gather telemetry from compute, storage, networking, and application services. Prometheus scrapes metrics from exporters running across the environment and stores them in a time‑series database optimized for high‑cardinality operational data. This data is visualized using Grafana.

Prometheus is deployed and managed using Ansible, ensuring consistent configuration, reproducible deployments, and version‑controlled infrastructure changes.


🎯 Purpose

Prometheus acts as the central observability backbone for the homelab. It enables:

Prometheus integrates directly with Grafana, which provides dashboards, visualizations, and alerting.


🔄 How Prometheus Works

Prometheus uses a pull‑based model:

Services → Exporters → Prometheus → Grafana → Alerts

This architecture ensures reliability, simplicity, and clear data flow.


🧩 Key Components

🏛️ 1. Prometheus Server

📦 2. Exporters

Prometheus relies on exporters to expose metrics from services that do not natively support Prometheus format.

Common exporters in this homelab include:

📐 3. PromQL

Prometheus Query Language (PromQL) is used to build dashboards, alerts, and diagnostic queries.


⚙️ Deployment

Prometheus is deployed using Ansible, which manages:

This ensures the monitoring stack is reproducible, consistent, and easy to extend.


📡 Scrape Configuration Overview

A typical prometheus.yml includes jobs for:

Each job defines targets, labels, and scrape intervals.


📘 Official Documentation

🧰 Common Exporters

🌐 Ecosystem


🚀 Next Steps