Episodes on how best to scale your PostgreSQL relational database.
In this episode of Scaling Postgres, we discuss using companion databases, multi-tenancy database design, whether SQL is good, and different transaction isolation levels.
In this episode of Scaling Postgres, we discuss Timescale's performance improvements from adding a query vectorization pipeline, doing blue-green deployments for databases, using reserved_connections and two improvements to null handling.
In this episode of Scaling Postgres, we discuss my Postgres Performance Starter Kit, new releases of Postgres, removing JIT, and a lightweight message queue.
In this episode of Scaling Postgres, we discuss new options for Postgres scheduling tools, proper ways to kill processes and explain usage.
In this episode of Scaling Postgres, we discuss index corruption from a ICU collation change, another caveat for PgBouncer prepared statements, ways to version data, and using Postgres as a cache.
In this episode of Scaling Postgres, we discuss how the new version of pgbouncer could get you 15% to 250% faster query throughput, the availability of using kubernetes snapshots for backup and restore with CloudNativePg and Ruby on Rails Postgres improvements.
In this episode of Scaling Postgres, we discuss a new extension that promises substantially faster text search and ranking, an AI content storm, how to work with money and the fastest way to stop Postgres.
In this episode of Scaling Postgres, we cover a deep dive into indexes from a presentation that includes a decision tree of sorts, how to convert to partitioned tables once you have hundreds of millions of rows and detail about the new pg_stat_io view.
In this episode of Scaling Postgres, we discuss whether something is 23 times faster or 1.1 times faster. We also discuss the release of Timescale Vector and whether you can build a queue on Postgres.
In this episode of Scaling Postgres, we discuss how to get 222 times faster analytical queries with columnar storage, a Postgres 16 feature review, the birth of a feature and fuzzy search.
