Learning Objectives

NOTE: This course will be removed at the end of April 2023. If you have not already started this course, please take Introduction to Observability instead.

Upon completing this course, you will be able to:

  • Explain how Metrics correspond to Logs and Traces
  • Monitor work metrics, resource metrics, and events
  • Collect good data
  • Capture events
  • Be alerted effectively
  • Diagnose performance issues

Primary Audience

This course is designed for any Datadog user interested in learning about the basics of monitoring metrics, logs, and traces.

Prerequisites

The prerequisites for this course are the following:

  • Familiarity using Datadog and the Datadog Agent

Technical Requirements

In order to complete the course, you will need:

  • N/A

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. Three Buckets of Metrics

    1. Collecting the Right Data

    2. Metrics

    3. Events

    4. What Good Data Looks Like

    5. Data for Alerts and Diagnostics

    6. Collect 'Em All

    1. Alert on What Matters

    2. When to Alert Someone (or not...)

    3. Levels of Alerting Urgency

    4. When to Let a Sleeping Engineer Lie

    5. Page on Symptoms

    6. Get Serious about Symptoms

    1. Investigating Performance Issues

    2. It's Resources All the Way Down

    3. Build Dashboards Before You Need Them

    4. Follow the Metrics

    1. Three Pillars of Observability

Introduction to Monitoring (Retired 4/30/23)

  • 1 hour to complete
  • 18 Lessons
  • Beginner