Percona Monitoring and Management
Single pane of glass for managing and monitoring the performance of your MySQL, MariaDB, PostgreSQL, and MongoDB databases.
View the Demo Download NowSingle pane of glass for managing and monitoring the performance of your MySQL, MariaDB, PostgreSQL, and MongoDB databases.
View the Demo Download NowCreated to support open source DBAs and developers, Percona Monitoring and Management (PMM) allows deep insight into the performance of applications and databases.
Used by thousands of organizations around the globe to manage complex database environments, PMM enables you to embrace different platforms, while maintaining confidence in your ability to monitor the performance of your data. It can be used on-premises and in the cloud. and is compatible with major cloud providers such as Amazon Web Services (AWS), Google Cloud, and Microsoft Azure, with specific dashboards for AWS RDS and Amazon Aurora.
Optimize database performance by utilizing and acting upon query and metric information. Easily find, fix, and prevent scaling issues, bottlenecks, and potential outages.
Achieve faster issue resolution by displaying current and potential query issues. Monitor complex environments with multi-databases, technologies, and providers.
Group like-systems together based on Cluster, Replication Set, Geographic Area, custom labels, and more. Manage and monitor all your servers at once, filtering down to the real issues.
Map queries against specific metrics to gain insight on database resources, such as platform, growth, team focus, and activity so high-quality releases won’t negatively impact your business.
Query Analytics (QAN) enables you to optimize database performance by making sure that MySQL, MongoDB, and PostgreSQL queries are executed as expected, within the shortest time possible. If your database is experiencing problems, you can identify which queries may be the cause and review detailed metrics, which will help direct the action you should take to resolve the issue.
Our Metrics Monitor tool provides a historical view of any metrics that are critical to a database server. Time-based graphs are separated into dashboards by themes, such as database services from MySQL, MongoDB, or PostgreSQL, or general system metrics such as CPU, Network, Memory, or Disk performance.
New performance and usability query improvements allow visualization queries for fleets of servers, sort by any column, or from multiple dimensions.
New query analytics for PostgreSQL allows you to visualize query performance for PostgreSQL servers alongside MySQL and MongoDB.
New labeling with Leverage Standard (system-generated) and Custom tags to conveniently group servers for analysis.
New administrative API with add/change/remove nodes and services from monitoring using PMM Server API.
Review fleets of servers and drill down to Clusters, Replication Sets, and individual instances with new service-level dashboards.
Point-in-time visibility and historical trending of database performance.
Data from MySQL Performance Schema and MySQL slow query log.
Amazon RDS and Amazon Aurora dashboards for AWS-specific monitoring.
Data from the MongoDB query profiler.
Historical view of metrics, critical to a database server.
Query metrics, including bytes sent, lock time, rows sent, and more
Best-of-breed tools, including Grafana, Prometheus, and Percona Distribution for PostgreSQL.
PMM is a leading, free and open-source platform with over 3,500 daily active server instances, and over 250,000 downloads.
As the only provider of distributions for all three of the most popular open source databases—PostgreSQL, MySQL, and MongoDB—Percona provides expertise, software, support, and services no matter the technology.
Percona partners with all major cloud providers, providing expertise and support for a multitude of platforms.
Whether its enabling developers or DBAs to realize value faster with tools, advice, and guidance, or making sure applications can scale and handle peak loads, Percona is here to help.
Percona contributes all changes to the upstream community for possible inclusion in future product releases.