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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
Insights - Vitess tablet calls per query metrics — Planet...
2025-10-21 · via Changelog — PlanetScale

We've added a new column to Insights for Vitess databases to help you better understand the behavior and performance impact of queries that require communicating with multiple shards (VTTablets) during their execution.

For Vitess databases with one or more sharded keyspaces, you can now use the Tablet calls per query column to view the average number of tablets that are used during query execution for each query pattern. This data can help you identify queries that require distributed execution across multiple tablets, and monitor how this quantity is changing over time.

Insights Tablet calls per query

More details about these and other columns can be found in the Query Insights for Vitess documentation.