In this episode of Scaling Postgres, we discuss how to generate shaped sample data, track changes between Postgres versions, identify missed bottlenecks and use different index types.

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Links for this episode:

https://blog.timescale.com/blog/how-to-shape-sample-data-with-postgresql-generate_series-and-sql/

https://www.depesz.com/2022/01/17/configuration-changes-across-pg-versions/

https://pawelurbanek.com/postgresql-query-bottleneck

https://blog.crunchydata.com/blog/postgres-indexes-for-newbies

https://www.depesz.com/2022/01/17/waiting-for-postgresql-15-introduce-log_destinationjsonlog/

http://rhaas.blogspot.com/2022/01/surviving-without-superuser-part-two.html

https://www.shayon.dev/post/2022/17/why-i-enjoy-postgresql-infrastructure-engineers-perspective/

https://aws.amazon.com/blogs/database/postgresql-bi-directional-replication-using-pglogical/

https://www.cybertec-postgresql.com/en/data-normalization-in-postgresql/

https://postgresql.life/post/kuntal_ghosh/

https://www.rubberduckdevshow.com/episodes/26-the-dark-side-of-open-source/