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Percona Monitoring and Management: 一款用于数据库监控、可观测性和管理的工具

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工具介绍

Percona Monitoring and Management: 一款用于数据库监控、可观测性和管理的工具

Percona Monitoring and Management

Percona Monitoring and Management

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

Percona Monitoring and Management (PMM) is the 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.

Architecture

Installation

There are different installation methods, please check our About PMM installation documentation page.

But in a nutshell:

  1. Download PMM server Docker image:
$ docker pull percona/pmm-server:3
  1. Create the data volume container:
$ docker volume create pmm-data
  1. Run PMM Server container:
$ docker run --detach --restart always \
  --publish 443:8443 \
  --volume pmm-data:/srv \
  --name pmm-server \
  percona/pmm-server:3
  1. Start a web browser and type the server name or IP address of the PMM server host (defaults to https://localhost).

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

Need help?

Commercial Support Community Support
Enterprise-grade support for mission-critical monitoring deployments with Percona Monitoring and Management.

Get expert guidance for complex monitoring scenarios across hybrid environments—from cloud providers to bare metal infrastructures. | Connect with our engineers and community members to troubleshoot issues, share best practices, and discuss monitoring strategies. | | Get Percona Support | Visit our Forum |

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 you’re looking for information about how you can contribute, we have contribution guidelines across all our repositories in CONTRIBUTING.md files. Some of them may just link to the main project’s repository’s contribution guidelines.

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

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 projects also have GitHub Issues enabled, so you could also 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. From the top navigation bar, anywhere in Jira, click Create.
  3. Select Percona Monitoring and Management (PMM) from the Project drop-down menu.
  4. 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.

Licensing

Percona is dedicated to keeping open source open. Wherever possible, we strive to apply a permissive license to both our software and documentation.

PMM components are licensed under the following open source licenses:

  • PMM Server: GNU AGPLv3
  • PMM Client: Apache 2.0
  • PMM Documentation: GNU AGPLv3

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> 工具信息

发布日期2026年8月1日
最后更新2026年9月17日
分类数据库
定价开源

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