Percona Monitoring and Management
An open-source database monitoring, observability, and management tool for MySQL, MongoDB, PostgreSQL, Valkey, and Redis.
What is Percona Monitoring and Management?
Percona Monitoring and Management (PMM) is an open-source database monitoring, observability, and management tool that provides a unified interface for tracking the performance of MySQL, MongoDB, PostgreSQL, Valkey, and Redis databases. It helps organizations reduce complexity, optimize database performance, and improve security across hybrid environments.
Database administrators, DevOps engineers, and SREs who manage business-critical database environments and need comprehensive monitoring and troubleshooting capabilities.
PMM offers a best-of-breed, open-source alternative to proprietary monitoring solutions, providing deep visibility, customizable dashboards, and built-in advisors for performance and security without vendor lock-in.
Overview
Percona Monitoring and Management: an open source database monitoring, observability and management tool
Use Cases
Best For
- Monitoring performance across multiple database technologies in a single interface
- Troubleshooting database performance issues with drill-down capabilities
- Identifying security threats and performance degradation with built-in advisors
- Managing backups and point-in-time recovery for databases
- Optimizing database performance in hybrid or multi-cloud environments
- Reducing monitoring complexity for MySQL, MongoDB, PostgreSQL, Valkey, and Redis
Not Ideal For
- Teams requiring agentless monitoring solutions without installing client software on database servers
- Organizations using databases not supported by PMM, such as Microsoft SQL Server or Cassandra
- Small teams with limited infrastructure resources who need a lightweight, low-maintenance monitoring tool
- Companies looking for a fully managed, cloud-native monitoring service with automatic scaling and updates
Pros & Cons
Pros
Provides a single pane of glass for monitoring MySQL, MongoDB, PostgreSQL, Valkey, and Redis, reducing complexity as emphasized in the README's key features.
Allows zooming from node to query level for detailed performance analysis, enabling in-depth troubleshooting as highlighted in the use cases section.
Regular checks identify security threats and performance degradation, helping maintain database health without additional tools, as mentioned in the features list.
Avoids vendor lock-in and is freely available under open-source licenses like AGPLv3, supporting hybrid environments without proprietary constraints.
Cons
Installation involves Docker containers and client agent configuration, which can be daunting for teams without container expertise, as shown in the multi-step README instructions.
Only supports a specific set of databases; users with technologies like Oracle or SQL Server must seek alternatives, limiting its applicability in diverse environments.
Requires users to manage server updates, backups, and scalability, unlike SaaS options, adding maintenance overhead that may strain small teams.
Frequently Asked Questions
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