Dokploy / Dokploy/dokploy

Show per-container resource usage in monitoring

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#4,653 1 comment 2 reactions 0 assignees View on GitHub

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enhancement
Dominant language
TypeScript
Stars
37.4k
Forks
3k
Avg merge
1d 3h
Merged PRs (30d)
73

Description

What problem will this feature address?

When self-hosted users open the Monitoring page, they can see server-level usage but cannot quickly identify which running Docker container is currently responsible for CPU, memory, disk I/O, or network I/O usage. Troubleshooting requires leaving Dokploy and running Docker commands manually on the server.

Describe the solution you'd like

Add a Resource Usage breakdown to the Monitoring page that lists running containers with current CPU, memory, disk size, disk I/O, and network I/O usage. Users should also be able to expand a container row to inspect its top processes by CPU and memory usage.

A PR is already open for this implementation: #4571

Describe alternatives you've considered

The current workaround is to use Docker CLI commands such as docker stats, docker top, and manual inspection outside Dokploy. That works, but it is slower and less discoverable for users who are already monitoring their server from Dokploy.

Additional context

The proposed PR keeps this scoped to the self-hosted Dokploy container monitoring view, reuses the existing monitoring permission model, validates Docker container IDs before process inspection, and includes tests plus a screenshot.

Resource Usage breakdown

Will you send a PR to implement it?

Yes

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Review PR #4571 first, since it contains the implementation for this feature. Compare its monitoring-page changes with the stated requirements for container CPU, memory, disk, and network usage, expandable top processes, permission reuse, Docker ID validation, tests, and the screenshot.

Written by the indexing model from the issue text.

Assessment

Tech stack
docker, typescript
Domain
devops, observability-sre
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
25/100

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