The Datadog Continuous Profiler now includes a timeline view that provides a detailed chronological visualization of code and runtime activity, allowing software engineers to pinpoint the root causes of performance issues in their applications. This feature offers a complementary perspective to traditional flame graph views, enabling users to identify causal factors behind runtime performance issues more easily. The timeline view helps engineers diagnose performance anomalies by providing visibility into thread-level activity, allowing them to detect non-parallelization and optimize code for better throughput, reduce p99 latency, observe code-level activity within spans, and analyze the impact of garbage collection on application performance in production. By using this feature, users can shed light on runtime issues that are otherwise hard to diagnose, fine-tune their services for optimal performance, and more quickly determine whether issues originate from the underlying infrastructure, runtime activity, or the code itself.