Going Deeper with Logs Processing
This course provides an overview of advanced logging topics, including log pipelines and processors, log parsing, and the use of standard attributes for log processing in Datadog.
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.
Prerequisites
The prerequisites for this course are the following:
- Completion of the Learning Environment course
- Familiarity with the main Datadog products and how to navigate the Datadog app
- The Datadog 101: Developer or Datadog 101:SRE course is recommended.
- The Introduction to Log Management course is recommended.
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
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Introduction
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Why Process Logs?
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Pipeline and Processors
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Lab: Grok Parsing
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Standard Attributes and Aliasing
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Creating Pipelines and Processors
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Lab: Creating a Custom Pipeline
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Summary
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Feedback Survey
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Going Deeper with Logs Processing
- 2 hours to complete
- 6 Lessons
- Intermediate
