cerbos VS postgres_exporter

Here, Cerbos comes into the picture.

In this tutorial you will learn how to use Cerbos to add fine-grained access control to any Nuxt web application, simplifying authorization as a result.

In my work with Cerbos, I apply the lessons learned from Da Vinci to tackle authorization challenges. Our approach is to create solutions where functionality seamlessly integrates with developer experience. Constantly iterating and viewing the tools through the users' lens, helps ensure that our access control solutions are robust and dev-friendly.

You may already know of our open source solution - Cerbos Policy Decision Point (PDP); a devtool which helps developers enforce access control over different parts of their software. If you need to learn more about Cerbos in general, we strongly recommend checking out the website and the docs.

GitHub: https://github.com/cerbos/cerbos URL: https://cerbos.dev

Cerbos Hub is a managed service offering for the open source authorization product, Cerbos.

Hello fellow devs! I'm with Cerbos (https://cerbos.dev/), a tool designed to manage who can do what in your software applications.

🌟 Support on GitHub Website: http://prometheus.io/community

An easy way forward would be to export it as a metric through something like https://github.com/prometheus-community/postgres_exporter and then set up an alert on the metric reporting >= 1.

We use postgres as RDBMS for our database needs and if you guys are already using postgres_exporter(https://github.com/prometheus-community/postgres_exporter) for exporting PostgreSQL server metrics to prometheus, then you can surely give coroot-pg-agent a try.

It’s not that simple…https://github.com/prometheus-community/postgres_exporter :)

New server and want a basic config for a production server? (I'm assuming brand new app here, no prior monitoring and knowledge on what to tune.)

Use this to get the values you need https://pgtune.leopard.in.ua/#/ .

This saved me a lot of headaches, and it just gets the server into a good enough state from which you can observe and optimise later.

I'd also add in monitoring early, add a Prometheus exporter https://github.com/prometheus-community/postgres_exporter and alerts https://awesome-prometheus-alerts.grep.to/rules#postgresql . There are a few Grafana dashboards available for the prometheus exporter, start with those.

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.

PostgreSQL monitoring with Prometheus is an easy thing to do thanks to the PostgreSQL Exporter.

Thanks, that is probably a better fit. I was looking to use this part of the PostgreSQL exporter: https://github.com/prometheus-community/postgres_exporter/blob/master/queries.yaml and just not care about the metrics about Postgres itself.

The postgres_exporter provides the data about the state of replication. Then you have rules like these to validate the data.