Learning Objectives

Upon completing this course, you will be able to:

  • Understand the difference between monitoring an application on Kubernetes vs a virtual machine

Primary Audience

This course is designed for Datadog users who are looking to deepen their knowledge on monitoring workloads on the Kubernetes Platform using Datadog.

Prerequisites

The prerequisites for this course are the following:

Technical Requirements

In order to complete the course, you will need:

  • Google Chrome or Firefox
  • Third-party cookies must be enabled to access labs

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

    1. Lab: Configuring the Datadog Agent

    1. Lab: Monitoring the Application

    1. Summary

    2. Feedback Survey

Monitoring Workloads on Kubernetes

  • 1.5 hours to complete
  • 2 Lessons
  • Intermediate
Enroll for free