Abstract

This workshop will demonstrate an introductory overview of Pipeline Visibility in Datadog. After integrating Pipeline Visibility with a CI provider, we will use custom tags and metrics to capture relevant CI information—such as Docker image size over time—and find performance regressions across our pipelines, stages, and jobs. Then, by integrating Datadog Log Management with our CI provider, we'll be able to explore logs in context of their specific pipelines and jobs. 

We'll also learn how to create custom widgets and dashboards that deliver insights into CI providers in a single pane of glass, allowing your build engineering team to adopt a data-driven mindset. Finally, we'll explore how you can reduce alert fatigue by setting up monitors on specific jobs, allowing you to have fine-grained alerting depending on the job in question.

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.

Workshop Curriculum

    1. Introduction

    2. Known bugs

    1. Video Lesson

    2. Feedback

    1. Further Reading

Improve CI Performance, Reliability, and Debuggability with CI Visibility

  • 1 hour to complete
  • 1 Lesson
  • 0.5 hours of video content
  • Beginner