Learning Objectives

Through a series of interactive lab activities in a fully-functional Kubernetes cluster, you will:

  • Use the Helm chart to install and configure Cluster Agent Node Agents
  • Use Agent CLI commands to confirm that the Agents are running correctly
  • Explore Datadog to see the wealth of data available about the cluster, from overall cluster health to resource usage by individual processes running inside a pods
  • Perform the same steps using the Datadog Operator

Upon completing this course you will understand how Datadog monitors a Kubernetes cluster, and be able to choose the best installation method for your own infrastructure.

Primary Audience

This course is designed for SREs and DevOps Engineers who want to monitor Kubernetes clusters. The principles in this course apply to self-hosted and managed cloud clusters.


  • Completion of the Learning Environment course
  • Familiarity with Kubernetes clusters
  • Ability to use a Linux command line shell
  • Familiarity with editing YAML in an IDE

Technical Requirements

In order to complete the course, you will need:

  • Google Chrome or Firefox

Course Navigation

At the bottom of each lesson, click MARK LESSON COMPLETE AND CONTINUE button so that you are marked complete for each lesson and can receive the certificate at the end of the course.

Course Enrollment Period

Please note that your enrollment in this course ends after 30 days. You can re-enroll at any time and pick up where you left off.

Course curriculum

    1. Introduction

    2. The Datadog Agent on Kubernetes

    3. Install the Agent using the Helm chart

    4. Install the Agent using the Operator

    5. Course Conclusion

    6. Feedback Survey

Monitoring a Kubernetes Cluster: Install the Agent

  • 1 hours to complete
  • 2 Lessons
  • Intermediate