Episodes on how best to scale your PostgreSQL relational database.
In this episode of Scaling Postgres, we discuss the read and write performance of Postgres on ZFS, handling URL text identifiers in the database, denormalization and a new pgvector release.
In this episode of Scaling Postgres, we discuss the future of Postgres upgrades, the usefulness of pg_dump, partitioning with minimal downtime and limitless Aurora.
In this episode of Scaling Postgres, we discuss whether you need a vectorizer, different ways to bin or bucket timestamps, addressing a bad plan and advanced psql.
In this episode of Scaling Postgres, we discuss pg_parquet allowing Postgres to read and write parquet files, other useful extensions, open source bounties, and Postgres gotchas.
In this episode of Scaling Postgres, we discuss the JSON goodies in Postgres 17, trigger recursion, pg_dump as backup and pg_timeseries columnar performance.
In this episode of Scaling Postgres, we discuss how one query runs 77 times faster in Postgres 17, a detailed Postgres 17 performance webinar, using logical replication fail over slots and a discussion on Patroni.
In this episode of Scaling Postgres, we discuss more about the features released with Postgres 17, an example of performance improvements, things to watch out for, and the start of Postgres 18.
In this episode of Scaling Postgres, we discuss the release of Postgres 17, b-tree performance gains, logical replication enhancements and different levels of performance tuning.
In this episode of Scaling Postgres, we discuss how to optimize your database for analytics, how to speed up counts, improvements to TimescaleDB and why you should stop using serial.
In this episode of Scaling Postgres, we discuss when select can write, Postgres RC1 is released, Tetris in SQL and copy, swap, drop.
