The Timeline view in Datadog Continuous Profiler visualizes how thread and runtime activities related to resource consumption are distributed across threads and the entire runtime. With these insights, you can more quickly investigate root causes of high request latency buried within your code. In this hands-on course, you’ll use the Timeline view along with the Flame Graph view in Continuous Profiler to pinpoint causes of high service latencies in an app service that is built in Java. If you don’t usually work with Java, you’ll still be able to follow along.
Example of a call stack for a Parked thread activity.
By the end of this course, you'll be able to do the following:
Developers using Continuous Profiler to investigate and improve application performance
In order to complete the course, you will need:
What is Profiling Timeline?
Profiling Timeline complements Flame Graph
Lab: Investigate Thread Activity and Runtime Activity using Profiling Timeline
Summary
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