Learning Objectives

Upon completing this course, you will be able to:

  • Use DatadogMonitor to define Datadog monitors (alerts) as Kubernetes objects

Primary Audience

This course is designed for any Datadog user interested in managing Datadog monitors through Kubernetes configuration.

Prerequisites

The prerequisites for this course are the following:

  • Completion of the Learning Environment course
  • The Understanding the Datadog Operator lab is recommended.
  • Familiarity with the Datadog platform
  • Firm understanding of Kubernetes
  • Able to use a Linux command line shell
  • Basic programming skills in any language
  • Familiarity with editing code in an IDE
  • Knowledge of how web applications work


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

    2. Datadog Monitors through K8s Lab

    3. Feedback Survey

Managing Datadog monitors through Kubernetes configuration

  • 1 hour to complete
  • 1 Lesson
  • Intermediate
Enroll for free