postgres_exporter VS realtime

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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.

You can LISTEN/NOTIFY. Or you can use logical replication and a custom subscriber.[1] Supabase uses the latter.[2]

[1]: https://www.postgresql.org/docs/current/logical-replication....

[2]: https://github.com/supabase/realtime

Supabase Realtime is great for building collaborative applications. You can receive database changes over websockets, store and synchronize data about user presence, and broadcast any data to clients via "channels".

We use :telemetry to collect usage data per tenant for Supabase Realtime.

We do this for rate limiting but it also makes it very easy for us to attach a listener (https://github.com/supabase/realtime/blob/main/lib/realtime/...) which ships these (per second) aggregates to BigQuery (via Logflare), which then the billing team can aggregate further to display and actually bill people with.

Yo :D This is what Supabase Realtime does!

https://github.com/supabase/realtime

Spin up a Supabase database and then subscribe to changes with WebSockets.

You can play with it here once you have a db: https://realtime.supabase.com/inspector/new

Every project is a Postgres database, wrapped in a suite of tools like Auth, Storage, Edge Functions, Realtime and Vectors, and encompassed by API middleware and logs.

Where can I learn more about this? I've been thinking of trying to integrate Supabase Realtime (https://github.com/supabase/realtime) into my Django app (without the rest of Supabase), but I'd also like to keep things even simpler if possible.

Also, what was the reason not to go with Gevent?

I believe #2 was the main driver for the supabase team to build their real-time component: https://github.com/supabase/realtime

Background/announcement: https://supabase.com/blog/supabase-realtime-multiplayer-gene...

As a minor note, one of the linked articles talks about having used RethinkDB for its changefeeds and I made a mental note a bit back that if I ever want that supabase's realtime ( https://github.com/supabase/realtime ) provides something rather like that atop Postgres and I should try that before doing anything clever.