Abstract

Tagging is a powerful tool for correlating your infrastructure and application data throughout Datadog. With your use cases and Datadog end users in mind, you can develop a deliberate tagging approach to help you optimize your monitoring workflows. The focus of this course is on the thought process behind selecting tags to meet business needs rather than the mechanics of assigning tags.

Learning Objectives

Upon completing this course, you will be able to:

  • Use custom and inherited tags across your infrastructure’s services and integrations
  • Filter and group data in different Datadog products using tags
  • Refine searches using tags to focus on relevant data
  • Explore correlated data across services using tags
  • Notify specific teams and reduce alert fatigue using tags
  • Navigate across traces, metrics, and logs with Unified Service Tagging

Primary Audience

This course is designed for any Datadog users interested in tagging best practices.

Prerequisites

The prerequisites for this course are the following:

  • Familiarity with the main Datadog products and how to navigate the Datadog app
  • Datadog Quick Start course

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 to Tags

    2. Examples of Tags

    3. Suggested Best Practices and Considerations

    1. Lab: Tagging Use Cases

    1. Summary

    2. Feedback Survey

Tagging Best Practices

  • 1.5 hours to complete
  • 5 Lessons
  • Beginner
Enroll for free