Prometheus / Grafana Demo for SLEdge

How to use

1. Start SLEdge
2. Validate that you are able to reach the metrics scrape point directly. This should be something like http://localhost:1776/metrics and return something like the following:

# TYPE total_requests counter
total_requests: 3949658
# TYPE total_5XX counter
total_5XX: 0
<snip>

3. By default, prometheus is configured assuming that sledgert is running on the same host that is running the docker daemon executing this container. Outside of a development environment, this is probably not the case. To change this, edit prometheus.yml and replace host.docker.internal:1776 with the IP or hostname and port that resolves to SLEdge's metrics server.

global:
  scrape_interval: 5s

scrape_configs:
  - job_name: "SLEdge"
    scrape_interval: 5s
    static_configs:
    - targets: ["host.docker.internal:1776"]

4. Run docker-compose up to setup and start prometheus and grafana.
5. Grafana is now accessible at http://localhost:3000/. The dashboard is named SLEdge. Prometheus is now accessible at http://localhost:9090/ if you want to issue PromQL queries. You can run driver scripts and you should see the results reflected in the dashboard.
6. When done, hit control+C and optionally run docker-compose down to clean up docker assets