Abstract

The complexity of modern applications and shared infrastructure creates challenges for developers, particularly when it comes to troubleshooting production outages quickly and consistently. Knowing what to look for—and where—can be difficult when you don’t have the right observability, especially when you are up against the clock.

By combining metrics, traces, and logs, you can improve observability and reduce the time to detection and resolution of operational incidents.

With the help of hands-on labs, this workshop will take you from beginner to expert in building observability with log data. You will learn best practices for log collection, processing, and retention, and then dive into scenarios that will help you analyze data from multiple sources with Datadog Log Management’s powerful search and analytics capabilities.

You will come away with proven strategies for building an organizational culture of efficient logging, optimizing for various use cases, and gaining richer insights into application behavior and user experiences.

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 workshop ends after 10 days.

Workshop Curriculum

    1. Lab: Using Log Management with Metrics and Traces

    2. Feedback

    3. Additional Resources

Using Log Management with Metrics and Traces to Improve Developer Productivity

  • 3 hours to complete
  • 1 Lesson
  • Beginner