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[PR #771] Add Maintenant to Monitoring section. #5882
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📋 Pull Request Information
Original PR: https://github.com/awesome-foss/awesome-sysadmin/pull/771
Author: @btouchard
Created: 4/23/2026
Status: 🔄 Open
Base:
master← Head:master📝 Commits (1)
226c013Add Maintenant monitoring tool to README📊 Changes
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README.md(+1 -0)📄 Description
Maintenant is a self-hosted Docker monitoring tool. Single Go binary, AGPL-3.0, no cloud version, no telemetry. Targets the gap between cAdvisor (too low-level) and Datadog (SaaS/paid). ~100 GitHub stars, actively maintained.
Thank you for taking the time to work on a PR for Awesome-Sysadmin!
To ensure your PR is dealt with swiftly please check the following:
DemoandClientsare optional.Do not add a duplicate
Source codelink if it is the same as the main link.Keep the short description under 80 characters and use sentence case
for it, even if the project's webpage or readme uses another capitalisation.
Demolinks should only be used for interactive demos, i.e. not video demonstrations.- [Name](http://homepage/) - Short description, under 250 characters, sentence case. ([Demo](http://url.to/demo), [Source Code](http://url.of/source/code), [Clients](https://url.to/list/of/related/clients-or-apps)) `License` `Language`Languagetag is the main server-side requirement for the software. Don't include frameworks or specific dialects.Suggested titles: "Add aaa to bbb" for adding software aaa to section bbb,
"Remove aaa from bbb" for removing, "Fix license for aaa", etc.
Please take some time to answer the following questions as best you can:
Single Go binary (20-30 MB), self-hosted only by design — no cloud tier, no SaaS fallback, no telemetry. Reads directly from the Docker socket, so zero-agent setup. SQLite embedded, Vue 3 frontend embedded in the binary via Go embed — one command to run, one process to monitor. AGPLv3 for self-hosters, commercial on-premise license for organizations that can't use AGPL. No "community edition" vs "enterprise edition" feature gating — same binary, same features.
Yes, I'm the author. In production on my own infrastructure for several months before public release. Public Docker image has been pulled around 22,000 times over the past two months.
Both. Used across a client engagement (CTO part-time role), my own freelance activity, and a homelab. First paying customer is an operator running an AI hosting stack in production.
Across my own setups: dozens of containers spanning a few hosts. The first paying customer runs it over a larger AI hosting stack. Public usage: ~22k image pulls, no telemetry in the binary so exact install count is unknown.
Pros vs. existing options:
Cons / limitations:
Not for Kubernetes clusters at scale
Not multi-tenant observability — designed for solo operators and small teams
Single-node focus; multi-host scenarios require one instance per host
Younger codebase than Prometheus or Netdata, fewer integrations
Any other comments about your use case, things you've found excellent, limitations you've encountered... ?
The "boring by design" approach pays off: once deployed, it stays out of the way. A recurring pattern among users is -that the first 5 minutes of clicking through the UI surface things they didn't know were running — exposed ports, containers with unneeded privileges, forgotten stacks. Not magic, just the effect of having one simple view of what's actually on the machine instead of three browser tabs. Main limitation: single-host by design; if you run Docker on 10 boxes, you run 10 instances (intentional tradeoff — no central server, no agent fleet to maintain).
Any other comments about your use case, things you've found excellent, limitations you've encountered... ?
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.