pg_exporter VS net-test

I’m setting up some monitoring for a PostgreSQL instance and came across two seemingly mature projects for Prometheus monitoring, those being postgres_exporter and pg_exporter . From the outside it looks like postgres_exporter is linked from the Prometheus pages, but has fewer recent updates, and pg_exporter has a smaller user base but a more active development community.

Cool! It's so funny I just recently took an old bash script of mine which did something similar and have been upgrading it into a proper application which exports metrics to Prometheus and Grafana: https://github.com/Noah-Huppert/net-test

I saw a comment below where some was rolling their eyes that you "complicated" stuff with Prometheus, Grafana, and Docker and how you could just use Bash scripts and crons. As I just upgraded my codebase from this more bare metal approach to this "more complex setup" I'd like to mention: there's no way you could do time series statistical analysis easily with "just a cron job and a bash script". Prometheus and Grafana are for more than just buzz words. Prometheus offers an advanced time series database which allows you to, at minimum, do more robust analysis using data techniques like Histograms. As for Grafana, it makes exploring data dead easy. Providing users with a Docker Compose setup is also something I did with my tool and the benefits are huge. It lets me distribute a setup which relies on multiple moving parts working smoothly together. Sure I could write a whole wiki on how you should setup Prometheus Grafana and my tool, or I could distribute the setup with a configuration as code tool. Ensuring that even if someone doesn't want to use Docker Compose they can at least read my configuration as code and see exactly what I did to setup my tool.