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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
Database Traffic Control™ — PlanetScale
2026-03-23 · via Changelog — PlanetScale

We're introducing Database Traffic Control™ for PlanetScale Postgres — a traffic management system that lets you enforce flexible budgets on your database query traffic in real time.

Traffic Control uses budgets to cap resource usage for specific slices of your workload. Each budget can limit server share (CPU percentage), burst capacity, per-query execution time, and query concurrency. You can target traffic using rules that match on query pattern, application name, Postgres user, or custom sqlcommenter tags.

Budgets run in warn mode to observe what would be throttled, or enforce mode to actively block queries that exceed limits.

Common use cases include incident response, priority-based traffic shaping, protecting user traffic from AI agent workloads, and safe deployments.