Discovering Pod Resource Usage with Kubernetes Metrics

30 minutes
  • 2 Learning Objectives

About this Hands-on Lab

Kubernetes metrics allow you to gain insight into a wide variety of data about your Kubernetes applications. You can use these metrics to gain insight into how your compute resources are being used. In this lab, you will have the opportunity to hone your skills by investigating existing pods running in a Kubernetes cluster to determine which ones are using the most CPU.

Learning Objectives

Successfully complete this lab by achieving the following learning objectives:

Install Kubernetes Metrics Server

Install the Kubernetes Metrics Server in the cluster. Use this file to install Metrics Server: https://raw.githubusercontent.com/linuxacademy/content-cka-resources/master/metrics-server-components.yaml.

Locate the CPU-Using Pod and Write Its Name to a File

Locate the pod using the most CPU that also meets the following criteria:

  • Located in the beebox-mobile namespace
  • Has the label app=auth

Ignore any pods that do not meet those criteria, even if they are using more CPU.

Write the name of the pod to the file /home/cloud_user/cpu-pod-name.txt.

Additional Resources

You are working for BeeBox, a company that provides regular shipments of bees to customers. The company is in the process of building a Kubernetes-based infrastructure for some of their software.

It looks like a pod in the cluster may be using more CPU than expected. Search the beebox-mobile namespace for pods with the label app=auth, and determine which of these pods is using the most CPU. Save the name of that pod to a file for future reference.

The cluster does not have Metrics Server installed, so you will need to install it in order to perform this task.

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