Skip to content

Latest commit

 

History

History
40 lines (21 loc) · 1.81 KB

README.md

File metadata and controls

40 lines (21 loc) · 1.81 KB

Exercise 3: Metrics and Dashboards

In this exercise, we'll explore the third-party monitoring and metrics dashboards that are installed for free with OpenShift!

Grafana

Red Hat OpenShift on IBM Cloud comes with Grafana preinstalled. Get started by switching to the Cluster Console view:

Cluster Console

Then Navigate to Monitoring > Dashboards in the left-hand bar. You'll be asked to login with OpenShift and then click through some permissions.

Monitoring Dashboards

You should then see your Grafana dashboard. Hit Home on the top left, and choose K8s / Compute Resources / Namespace.

Grafana

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.

Grafana also project

Prometheus and Alert Manager

Navigating back to the cluster console, you can also launch:

  • Prometheus - a monitoring system with an efficient time series database
  • Alertmanager - an extension of Prometheus focused on managing alerts

Metrics, Alerts and Dashboards

Prometheus

Prometheus

Alertmanager

Alert Manager