Applications often behave quite differently in production than in development or testing environments. Datadog Continuous Profiler provides deep visibility into your applications as they run in production with real workloads. Using the profiler can help you reduce user-facing latency, lower infrastructure costs, and troubleshoot issues more effectively. In this hands-on workshop, you'll learn how to use Continuous Profiler to investigate, diagnose, and resolve code-level issues, with a particular focus on performance.

You'll instrument a sample web application using Datadog Continuous Profiler, uncovering bottlenecks and performance hotspots in real-time. Through practical exercises, you'll become familiar with powerful profiling tools such as the thread timeline, comparison view, and flamegraph, 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 streamline your profiling workflows and boost your productivity.

A GitHub account is required for hands-on labs.