Files
supabase/apps/docs/content/troubleshooting/high-cpu-usage.mdx
T
bf5a729f2d docs(telemetry): rename section and restructure as Monitoring and Debugging (#48243)
## Summary

- Renames the **Telemetry** nav section to **Monitoring and Debugging**
(nav label + sidebar title)
- Rewrites the section overview (`telemetry.mdx`) as a clean navigation
page using `ContentListings` — three panels (Debugging / Monitoring / AI
& automation) with no how-to prose
- Adds new `telemetry.data.ts` content-listings data file with three
groups registered in `index.ts`
- Adds a new **Debugging** guide (`debugging.mdx`) — request-stack
model, symptom-to-layer router with troubleshooting links for every
service, logging guidance
- Adds cross-links between `debugging.mdx`, `logs.mdx`, and
`advanced-log-filtering.mdx`
- Adds a new **AI agents and MCP** page (`ai-agents.mdx`) — MCP tools
table, `get_logs` usage, debugging skill workflow
- Restructures sidebar into three groups: **Debugging** / **Monitoring**
/ **AI & automation**

## Motivation

- No central entry point existed for debugging — content was scattered
across products with no index
- The overview page had almost no links for agents to follow
- The section name "Telemetry" caused confusion (also used for CLI usage
telemetry)
- Unblocks the `supabase` debugging skill, which routes agents to this
section as its source of truth

## Test plan

- [ ] `/docs/guides/telemetry` — three ContentListings panels render, no
prose how-to text
- [ ] `/docs/guides/telemetry.md` (markdown) — clean link list,
navigable by LLMs
- [ ] `/docs/guides/telemetry/debugging` — renders correctly, symptom
table links resolve
- [ ] `/docs/guides/telemetry/ai-agents` — new page renders correctly
- [ ] Sidebar shows 3 groups: Debugging / Monitoring / AI & automation
- [ ] All cross-links between debugging, logs, and
advanced-log-filtering resolve


<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit

## Summary

- **New Features**
- Added new documentation coverage for AI agent–assisted monitoring and
debugging, including an observability-driven troubleshooting workflow.

- **Documentation**
- Updated the “Telemetry” area to “Monitoring and Debugging” with a
refreshed landing page and reorganized sections (Debugging, Monitoring,
and AI).
- Revised the debugging and logs guides to improve step-by-step guidance
and highlight advanced log filtering.

- **Navigation**
- Renamed and restructured the top-level navigation entry to reflect the
new Monitoring and Debugging content layout.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->

---------

Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Jeremias Menichelli <jmenichelli@gmail.com>
2026-07-30 15:19:00 +02:00

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2.7 KiB
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---
title = "High CPU usage"
topics = [ "platform" ]
keywords = [ "CPU" ]
database_id = "3d1bb799-453f-4a6c-9fdc-056f15bec88c"
---
Learn what high CPU usage could mean for your Supabase instance and what could have caused it.
## The danger of high CPU usage
Every Supabase project runs in its dedicated virtual machine. Your instance will have a different set of hardware provisioned depending on your [compute add-on](/docs/guides/platform/compute-and-disk). Your hardware may not be suitable for the intended workload and may experience high CPU usage.
High CPU usage could come with a range of issues:
- slower queries
- disruption of daily backup routines
- in rare cases, your instance may become unresponsive
Moreover, your instance might not be able to handle future traffic spikes if it already has a high CPU usage.
## Monitor your CPU
You can check your CPU usage directly on the Supabase Platform. For this go to database health in the [Observability section](/dashboard/project/_/observability/database) and select your project.
![CPU usage reported on Supabase dashboard](/docs/img/guides/platform/exhaust-cpu-report.png)
It is also possible to monitor your resources and set up alerts using Prometheus/Grafana. You can find a guide for this [here](/docs/guides/monitoring-and-debugging/metrics).
## Common reasons for high CPU usage
Everything you do with your Supabase project requires compute. Hence, there can be many reasons for high CPU usage. Here are some common ones:
- **Query performance:** Queries that take a long time to complete (>1 second) as well as excessive amounts of querying can put a strain on the CPU. Check our guide on [examining query performance](/docs/guides/platform/performance#examining-query-performance).
- **Missing indexes:** Your database might have to scan through a large amount of data to find the information it needs. Creating indexes helps your database find data faster. Learn more about indexes [here](/docs/guides/database/postgres/indexes).
- **Unsuitable compute:** The compute size of your Supabase project might not be suitable for your application as you might have more traffic or run resource-intensive operations.
## Solving high CPU usage
There are two ways to solve high CPU:
1. **Optimize performance:** Get more out of your instance's resources by optimizing your usage. Have a look at our [performance tuning guide](/docs/guides/platform/performance#examining-query-performance) and our [production readiness guide](/docs/guides/deployment/going-into-prod#performance).
2. **Upgrade your compute:** You can get a Compute Add-on for your project. Follow [this link](/dashboard/project/_/settings/infrastructure) and select your project to see your upgrade options.