Episodes on how best to scale your PostgreSQL relational database.
In this episode of Scaling Postgres, we cover potential features in Postgres 17 such as explain serialize, verbose copy, pg_buffer_cache_evict, as well as many others.
In this episode of Scaling Postgres, we discuss a 1,400 times faster max and group by implementation, new quantization capabilities in pgvector, adaptive radix trees and splitting & merging partitions in PG17.
In this episode of Scaling Postgres, we discuss how Andres Freund of Microsoft found a Linux backdoor while benchmarking Postgres, how Postgres is eating the world, plans for the extension ecosystem and row level security.
In this episode of Scaling Postgres, we discuss whether Postgres will pull a Redis, remembering Simon Riggs, built-in collation provider and C.UTF-8 in PG 17 and health checks.
In this episode of Scaling Postgres, we discuss high availability's future, a custom sharding solution by Figma, sharding pg_vector queries, and PG17 logical replication fail over.
In this episode of Scaling Postgres, we discuss whether we should be using bytewise or linguistic ordering by default, how to transform data in Postgres, benefits of a transaction_timeout and how to enforce join order.
In this episode of Scaling Postgres, we discuss how the SLRU cache and LWLock:LockManager set scalability limits for Postgres, a new release of PgBouncer, and different transaction isolation levels.
In this episode of Scaling Postgres, we discuss one configuration change that resulted in an 11,000 times faster query, why Postgres is not using your index, backported PG improvements and parallelism with TOAST.
In this episode of Scaling Postgres, we discuss the overhead of using pg_stat_statements, DBA use of logs, an RDS migration success, and some Postgres best practices.
In this episode of Scaling Postgres, we discuss new Postgres releases, performance comparisons between PgBouncer, PgCat and Supavisor, a new extension pg_analytics, and new planner capabilities in PG16.
