Diagnose CPU performance with Continuous Profiling

Learning Objectives

Upon completing this course, you will be able to:

Visualize all your stack traces in one place
Discover bottlenecks in your code at a glance
Zero in on profiles using tags
Correlate profiles and distributed traces seamlessly
Get actionable insights for performance improvements
Track long-term performance trends

Primary Audience

The primary audience for this lab is any Datadog user interested in using Continuous Profiling in Datadog.

Prerequisites

The prerequisites for this course are the following:

Completion of the Learning Environment course
Experience with Application Performance Monitoring in Datadog
Able to use a Linux command line shell
Basic knowledge of the Java programming language
Familiarity with editing code in an IDE
Knowledge of how web applications work

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.

Learning Center

Lab: Diagnose and Optimize CPU Performance with Continuous Profiler