Launch a Percona Monitoring and Management (PMM) environment¶
Test-drive PMM from within Percona Platform by generating a free Kubernetes cluster, automatically provisioned with a PMM server, where you can try QAN, DBaaS, Advisor, Alerts and all the features that PMM has to offer.
PMM is an open-source database monitoring and management tool for MySQL, PostgreSQL, and MongoDB. It provides the observability required to understand database health while offering actionable insights to remediate database incidents or performance issues.
You can create one free Kubernetes environment per day. These ready-to-go environments are ideal for testing out PMM in a native Kubernetes experience and have:
- 3 worker nodes
- 4 CPUs/8GB of RAM
- 3 hours availability
To launch a free PMM environment¶
- In the PMM Demo tab, select Launch PMM environment. With that, the cluster is provisioned. Within a few minutes, it’ll be ready to use.
- Once the cluster is created, click Access PMM environment.
To test Percona DBaaS on your new cluster¶
- Go to your PMM instance and click DBaaS on the left menu.
- Open the Kubernetes Cluster tab. This shows your new Kubernetes cluster as Active.
- Click Create DB cluster to create the cluster for PMM monitoring.
- Choose whether you want to create a MySQL or MongoDB database.
- Verify the values in the Advanced Settings and MySQL Configurations panels.
- In the Network and Security panel, make sure that you enable Expose to make this DB cluster available outside of the Kubernetes cluster. If you want the cluster to be accessible on the Internet, also enable the Internet Facing option.
- Click Create Cluster to create your cluster. Theis displays the DB Cluster tab with details about your new cluster.
- In the Name column, click on the bars icon next to the cluster name to open the Custer Summary Dashboard where you can start monitoring your database server using the available PMM metrics.
- Use the menu on the left side to explore other important PMM features like Dashboards, QAN, Advisor, Percona Alerting, Backups.
For more information about working with clusters in PMM, see Dabases topic in the PMM documentation.