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Prometheus

Prometheus is a popular open-source monitoring and alerting toolkit. It provides a time-series database for metrics, an API for querying them, and the ability to gather metrics from many sources, such as your applications and operating systems.

We'll install Prometheus and configure Linko to export Prometheus metrics. We'll also set up Grafana to visualize the data Prometheus gathers, but more on that shortly.

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Assignment

Let's install Prometheus.

If you don't already have Docker installed, install it and start the Docker daemon.

Copy this into a new docker-compose.yaml file at the root of your project.

services:
  prometheus:
    image: prom/prometheus:latest
    ports:
      - "9090:9090"
    volumes:
      - ./prometheus.yml:/etc/prometheus/prometheus.yml

Copy this into a new prometheus.yml configuration file, also in your project root:
```
global:
  scrape_interval: 1s

scrape_configs:
  - job_name: prometheus
    static_configs:
      - targets: ["localhost:9090"]
```
We use 1s here to make scraping easy to observe during development and testing. That's usually too aggressive for production. A more typical interval is 15s-60s depending on scale and cost constraints.
Start the Prometheus server using Docker Compose:
```
docker compose up
```
Ensure you can view the web interface at http://localhost:9090/.

Run and submit the CLI tests from the root of the Linko repo.