The post provides performance tips for using Neon Postgres, a serverless Postgres solution that scales based on load. It covers essential practices such as connection pooling, autoscaling, and troubleshooting query performance using tools like pg_stat_statements and EXPLAIN ANALYZE. The article also discusses optimizing ingestion rates by ensuring sufficient compute resources, using read replicas, batch inserts, and cleaning up old indexes. Additionally, it emphasizes the importance of managing table bloat and effectively utilizing cache. Lastly, it suggests safely testing performance improvements using Neon’s database branching feature.
Table of contents
Compute sizing and connections managementTroubleshooting Postgres query performanceImproving query performance in Neon PostgresOptimizing ingestion rates in Neon PostgresSafely testing performance improvementsWrap upSort: