In this exercise, we'll explore the third-party monitoring and metrics dashboards that are installed for free with OpenShift!
Red Hat OpenShift on IBM Cloud comes with Grafana preinstalled. Get started by switching to the Administrator view:
Then Navigate to
Monitoring > Dashboards in the left-hand bar. Then click on
Grafana UI next to the title. You'll be asked to login with OpenShift and then click through some permissions.
This will open up another proxy page, click
Log in with OpenShift.
Next, it will ask you for
Authorize Access, take the default which is both checkboxes, and click
Allow selected permissions.
You should then see your Grafana dashboard. Hit
Home on the top left, and choose
Kubernetes / Compute Resources / Namespace (Pods).
namespace, choose the name of the project you created in Step 1 - the same one that your application is running inside.
You should be able to see the CPU and Memory usage for your application. In production environments, this is helpful for identifying the average amount of CPU or Memory your application uses, especially as it can fluctuate through the day. We'll use this information in the next exercise to set up auto-scaling for our pods.
Navigating back to the cluster console, you can also launch Alerting and Metrics UIs
Prometheus - a monitoring system with an efficient time series database
Alertmanager - an extension of Prometheus focused on managing alerts