Blazer VS PgHero

I try to avoid these tools wherever possible, given the choice I'd always go for tools like Blazer.

https://github.com/ankane/blazer

No such luck in my current role, Looker and PowerBI are both in use by different bits of the org and nobody has the ability to delve into the underlying figures.

As u/jaxn said you could use Blazer for this kind of thing. I would also look into materialized views or custom tables and a scheduled job that calculates the metrics they care about. That will take you a long way. Eventually you can use something like Metabase but I would put that off for as long as possible as it's really expensive and pretty involved.

And it's Open Source: https://github.com/evidence-dev/evidence

I'd also highly recommend Blazer https://github.com/ankane/blazer if you are into the Ruby on Rails world. It's super solid, and it's been an indispensable tool integrated to all my projects.

I use Ahoy too, but I don't have very good visibility into the data. I should spend more time building queries and creating charts. I should probably set up blazer as well: https://github.com/ankane/blazer

blazer

The Blazer gem provides a nice way to analyze the results easily. It is simple to install and allows SQL queries to run against tables. The query here shows that the candidate implementation is significantly faster than the original.

I am using https://github.com/ankane/pghero/ and this is one of its features with GUI

I use either PgHero or Rails PG Extras on every project

There are tools available which can look at your Postgres logs and tell you if you need to add indexes, I've used https://github.com/ankane/pghero before and it seems decent.

https://github.com/ankane/pghero (open source equivalent to pganalyze)

- [pghero](https://github.com/ankane/pghero)

pghero

If you are using PostgreSQL you can enable logging of slow queries and connect to the server with pghero (https://github.com/ankane/pghero) and check top queries by the number of requests and total usage time. Also, you can just enable logging of queries in Django, and on each request, you will have a list of queries on development, sometimes it's just a missing select_related of prefetch_related to increase performance, or you need to create a complex index.

If you are using rails, pghero is a great gem to get better visibility on your Postgres performance

https://github.com/ankane/pghero

I know others can answer this better but we use a combination of PgHero and logging of slow queries trough jOOQ.