Percona Monitoring and Management: an open source database monitoring, observability and management tool
Alternatives To Pmm
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Victoriametrics8,2134a day ago174September 08, 2022633apache-2.0Go
VictoriaMetrics: fast, cost-effective monitoring solution and time series database
2 days ago18agpl-3.0Rust
Lightweight, low latency, cloud native log store and analysis engine. Centralise logs from all your environments for fast log analysis and resolution.
Pmm333112 days ago167May 31, 202178agpl-3.0Go
Percona Monitoring and Management: an open source database monitoring, observability and management tool
Skywalking Banyandb151
3 days ago1June 02, 20221apache-2.0Go
An observability database aims to ingest, analyze and store Metrics, Tracing and Logging data.
App6133 years ago10May 04, 20206Go
Reusable framework for micro services & command line tools
10 months ago8January 20, 202224apache-2.0Go
Approzium allows a cloud service to authenticate to a database without ever having access to its password
7 months agomitGo
Prometheus metrics for Go database/sql via VictoriaMetrics/metrics
2 years agompl-2.0Rust
serverless, column-based database
Skywalking Banyandb Java Client17
3 days ago1May 23, 20222apache-2.0Java
The client implementation for SkyWalking BanyanDB in Java
Exposed Opentracing11
2 years agoapache-2.0Kotlin
OpenTracing instrumentation of Exposed (Kotlin ORM Framework)
Alternatives To Pmm
Select To Compare

Alternative Project Comparisons

Percona Monitoring and Management

CI CLA assistant Code coverage Go Report Card Discord Forum


Percona Monitoring and Management

A single pane of glass to easily view and monitor the performance of your MySQL, MongoDB, PostgreSQL, and MariaDB databases.

Percona Monitoring and Management (PMM) is a best-of-breed open source database monitoring solution. It helps you reduce complexity, optimize performance, and improve the security of your business-critical database environments, no matter where they are located or deployed. PMM helps users to:

  • Reduce Complexity
  • Optimize Database Performance
  • Improve Data Security

See the PMM Documentation for more information.

Use Cases

  • Monitor your database performance with customizable dashboards and real-time alerting.
  • Spot critical performance issues faster, understand the root cause of incidents better and troubleshoot them more efficiently.
  • Zoom-in, drill-down database performance from node to single query levels. Perform in-depth troubleshooting and performance optimization.
  • Built-in Advisors run regular checks of the databases connected to PMM. The checks identify and alert you of potential security threats, performance degradation, data loss and data corruption.
  • DBaaS: Create and configure database clusters no matter where the infrastructure is deployed.
  • Backup and restore databases up to a specific moment with Point-in-Time-Recovery.


Please check our Documentation for the actual architecture.

Overal Architecture

PMM Server

PMM Client


There are numbers of installation methods, please check our Setting Up documentation page.

But in a nutshell:

  1. Download PMM server Docker image
$ docker pull percona/pmm-server:2
  1. Create the data volume container
$ docker volume create pmm-data
  1. Run PMM server container
$ docker run --detach --restart always \
--publish 443:443 \
--volume pmm-data:/srv \
--name pmm-server \
  1. Start a web browser and in the address bar enter the server name or IP address of the PMM server host.

Enter the username and password. The defaults are username: admin and password: admin

How to get involved

We encourage contributions and are always looking for new members that are as dedicated to serving the community as we are.

If youre looking for information about how you can contribute, we have contribution guidelines across all our repositories in files. Some of them may just link to the main projects repositorys contribution guidelines.

We're looking forward to your contributions and hope to hear from you soon on our Forums and Discord.

Submitting Bug Reports

If you find a bug in Percona Monitoring and Management or one of the related projects, you should submit a report to that project's JIRA issue tracker. Some of related project also have GitHub Issues enabled, so you also could submit there.

Your first step should be to search the existing set of open tickets for a similar report. If you find that someone else has already reported your problem, then you can upvote that report to increase its visibility.

If there is no existing report, submit a report following these steps:

  1. Sign in to Percona JIRA. You will need to create an account if you do not have one.
  2. Go to the Create Issue screen and select the relevant project.
  3. Fill in the fields of Summary, Description, Steps To Reproduce, and Affects Version to the best you can. If the bug corresponds to a crash, attach the stack trace from the logs.

An excellent resource is Elika Etemad's article on filing good bug reports..

As a general rule of thumb, please try to create bug reports that are:

  • Reproducible. Include steps to reproduce the problem.
  • Specific. Include as much detail as possible: which version, what environment, etc.
  • Unique. Do not duplicate existing tickets.


Percona is dedicated to keeping open source open. Wherever possible, we strive to include permissive licensing for both our software and documentation. For this project, we are using the GNU AGPLv3 license.

Popular Observability Projects
Popular Database Projects
Popular Operations Categories
Related Searches

Get A Weekly Email With Trending Projects For These Categories
No Spam. Unsubscribe easily at any time.
Database Management
Monitoring Server