# Problem solving with PlanetScale Insights

DevFeed: [Problem solving with PlanetScale Insights](<https://devfeed.tech/articles/problem-solving-with-planetscale-insights-2333.md>)

Original publisher: [Read original article](<https://planetscale.com/blog/problem-solving-with-insights>)

Author: Simeon Griggs

Published: 2026-05-07T00:00:00Z

Content type: tutorial

Language: en

Sources: [Blog -- PlanetScale](<https://devfeed.tech/sources/blog-planetscale.md>)

Topics: [dashboards](<https://devfeed.tech/topics/dashboards.md>), [vitess](<https://devfeed.tech/topics/vitess.md>)

Tags: [database](<https://devfeed.tech/tags/database.md>), [insights](<https://devfeed.tech/tags/insights.md>), [latency](<https://devfeed.tech/tags/latency.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [mcp-server](<https://devfeed.tech/tags/mcp-server.md>), [metrics](<https://devfeed.tech/tags/metrics.md>), [mysql](<https://devfeed.tech/tags/mysql.md>), [performance](<https://devfeed.tech/tags/performance.md>), [postgres](<https://devfeed.tech/tags/postgres.md>), [product](<https://devfeed.tech/tags/product.md>), [production](<https://devfeed.tech/tags/production.md>), [vitess](<https://devfeed.tech/tags/vitess.md>)

## AI overview

A walkthrough of using PlanetScale Insights to identify database query-performance problems in production, with emphasis on latency percentiles and dashboard metrics for PlanetScale Postgres.

## Source excerpt

The best way for you and your agents to see how your database actually performs in production.