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Changelog — PlanetScale

Replica connections graph — PlanetScale Branch start maintenance webhook now available for Vitess enterprise customers — PlanetScale Deploy request UI updates — PlanetScale PostgreSQL CPU and I/O tracking — PlanetScale Branch start maintenance webhook — PlanetScale Cloudflare Workers integration — PlanetScale PlanetScale for Postgres is now Generally Available — PlanetScale PostgreSQL Schema Recommendations — PlanetScale Postgres maintenance windows — PlanetScale Support for 10 new Postgres extensions — PlanetScale 2025 PCI DSS reporting now available — PlanetScale AWS PrivateLink for Postgres — PlanetScale Google Cloud Provider support for Postgres databases — PlanetScale Insights: percent runtime — PlanetScale New region: AWS ca-central-1 (Montreal) — PlanetScale Postgres event triggers are now supported — PlanetScale New Postgres extension: pg_squeeze — PlanetScale Provisioned IOPS display for Metal clusters — PlanetScale Insights: max query latency graphs — PlanetScale Pinned databases update — PlanetScale New Postgres extensions: pg_cron and pg_partman_bgw — PlanetScale pscale shell now supports Postgres databases — PlanetScale Migration guides for Aurora, Neon, and Supabase — PlanetScale New pscale role commands for CLI — PlanetScale Postgres migration guides and scripts — PlanetScale Postgres role management — PlanetScale Expanded Postgres network-attached storage I/O configuration — PlanetScale 2025 SOC 1 Type 2 & SOC 2 Type 2 reports now available — PlanetScale Prometheus Metrics Additions: vstreamer events and errors — PlanetScale Postgres network-attached storage configuration — PlanetScale
OOM annotations on Postgres metrics — PlanetScale
2026-01-28 · via Changelog — PlanetScale

The Metrics page and Insights graphs now highlight when your Postgres database ran out of memory (OOM) and had to restart.

OOM events are serious, they cause your database to restart, drop all active connections, and roll back any in-progress transactions. If you see an OOM annotation on your graphs, you should investigate immediately. Common causes include too many connections, memory-intensive queries, or a cluster that needs to be resized.

These annotations make it easier to correlate OOM events with specific query patterns or traffic spikes, helping you identify the root cause.

Learn more about OOM events and how to prevent them