Learning Objectives

Upon completing this course, you will be able to:

  • Explain Pipelines and Processors, Parsing (extracting attributes from logs), and Standard Attributes for log processing in Datadog.

Primary Audience

This course is designed for all Datadog users interested in Log Management.


The prerequisites for this course are the following:

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

    1. Why Process Logs?

    2. Pipeline and Processors

    3. Lab: Grok Parsing

    4. Standard Attributes and Aliasing

    1. Creating Pipelines and Processors

    2. Lab: Creating a Custom Pipeline

    1. Summary

    2. Feedback Survey

Going Deeper with Logs Processing

  • 2 hours to complete
  • 6 Lessons
  • Intermediate