Learning Center

Applications often behave quite differently in production compared to development or testing environments. Datadog Continuous Profiler provides deep visibility into your applications as they run in production under real workloads, helping you reduce user-facing latency, lower infrastructure costs, and troubleshoot challenging issues more effectively.

In this hands-on workshop, you'll learn how to leverage Continuous Profiler to investigate, diagnose, and resolve code-level issues, with a particular focus on performance. You'll instrument a sample web application using Continuous Profiler, uncovering bottlenecks and performance hotspots in real time. Through practical exercises, you'll become familiar with powerful profiling tools, including the thread timeline, comparison view, and flame graph, enabling you to interpret and act upon profiling data effectively. For example, you'll learn how to use heap profile data alongside the comparison view to detect and address memory leaks in your production code. Additionally, you'll get a preview of exciting new features designed to further optimize your profiling workflows and boost your productivity.

A GitHub account is required for hands-on labs.