PgHero VS amazon-redshift-utils

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.

AWS has a Redshift utility script to run checks on what tables can be regularly analyzed and / or vacuumed based on certain set of thresholds. This can be run as a part of a monthly / periodical cluster maintenance.

I always install https://github.com/awslabs/amazon-redshift-utils/tree/master... on my Redshift clusters.

What you are describing as code reuse exists for databases, but they are called applications and generally utilize a general purpose programming language. It doesn’t make sense to have a SLA data model library because every use case is different. It’s a database, not procedural code.

https://github.com/awslabs/amazon-redshift-utils/blob/master...

The compression actually works as advertised, but you can compress so well that the database ends up retrieving too many blocks from the other columns in your query.