explaingit

vegasbrianc/prometheus

4,556Audience · ops devopsComplexity · 3/5Setup · moderate

TLDR

A Docker Compose starter stack that wires Prometheus, Grafana, cAdvisor, and Node Exporter together so you get live container and server monitoring dashboards plus Slack alerts from one setup command.

Mindmap

mindmap
  root((prometheus-stack))
    Components
      Prometheus
      Grafana
      cAdvisor
      Node Exporter
    What it monitors
      Container CPU
      Container memory
      Host disk use
      System load
    Alerting
      Slack alerts
      Pre-built rules
      Alert manager
    Dashboards
      Auto provisioned
      Public template 179
    Tech
      Docker Compose
      Prometheus
      Grafana
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Code map

Detail Auto

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Things people build with this

USE CASE 1

Spin up a complete monitoring dashboard for Docker containers and host servers with a single Docker Compose command.

USE CASE 2

Set up Slack alerts that notify your team when a container goes down or server load spikes.

USE CASE 3

Learn how Prometheus and Grafana work together by exploring this fully wired example configuration.

USE CASE 4

Import the included Grafana dashboards into an existing Grafana instance using the public template ID.

Tech stack

DockerDocker ComposePrometheusGrafanacAdvisor

Getting it running

Difficulty · moderate Time to first run · 30min

Requires Docker and Docker Compose, security is intentionally absent in this template, so add a firewall and SSL before production use.

In plain English

This repository is a ready-to-run monitoring stack for Docker-based server infrastructure. It bundles together two tools: Prometheus, which collects and stores numeric metrics from your servers and containers, and Grafana, which displays those metrics as charts and dashboards in a web browser. Running this stack gives you a live view of how your machines and containers are performing, all from a single setup command. The stack also includes two additional components that do the actual data collection. cAdvisor watches Docker containers and reports their CPU, memory, and network usage. Node-exporter watches the host machine itself, reporting things like disk usage and system load. Both feed their data into Prometheus, which stores it and makes it queryable. Alerting is built in and connects to Slack. Two sample alert rules come pre-configured, and you can add more. If a monitored service goes down or a machine's load gets too high, the alert manager sends a message to a Slack channel of your choice. The setup guide walks through connecting your Slack workspace step by step. Grafana provisioning is automatic: pre-built dashboard files are included in the repository, and Grafana loads them on startup without any manual import steps. A dashboard template is also published publicly on the Grafana website under ID 179 if you want to import it into an existing Grafana instance. The project is explicitly described as a quick-start template for learning and experimentation. The README states that security has not been implemented, and that users are responsible for adding firewalls and SSL before using this in any real environment. An optional configuration using Traefik, a reverse proxy tool, is also included for users who want hostname-based routing instead of direct port access.

Copy-paste prompts

Prompt 1
Walk me through running this Prometheus and Grafana monitoring stack on my Linux server using Docker Compose.
Prompt 2
How do I configure the Slack alerting in this stack to send notifications to my team's channel?
Prompt 3
How do I add a new Prometheus alert rule to this stack so it fires when disk usage exceeds 80 percent?
Prompt 4
How do I import the pre-built Grafana dashboards from this repo into my existing Grafana instance?
Prompt 5
What steps do I need to add SSL and a firewall to this monitoring stack before using it in production?
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