Which technology can help analyze blocked threads in an application?

The use of thread dumps is particularly effective for analyzing blocked threads in an application because it provides a snapshot of all active threads at a specific point in time. When a thread dump is captured, it reveals the state of each thread, including information about whether a thread is blocked, waiting, or running. This visibility enables developers and architects to identify deadlocks, contention issues, or any points where threads are waiting for resources to become available.

By analyzing the output from a thread dump, one can pinpoint not only which threads are blocked but also the resources they are trying to access and the call stacks, which can provide insights into what is causing the blocking. This is crucial for troubleshooting performance issues related to threading, as it allows teams to take appropriate measures to resolve blocking problems within the application.

In contrast, the other options, while useful for different aspects of performance analysis, do not focus specifically on the state of threads in the way that thread dumps do. For example, thread pool analysis can provide insights into thread utilization and maximum thread counts but does not detail individual thread states. Garbage collection logs are essential for understanding memory management and issues related to object allocation, while performance metrics provide overarching insights about the application’s performance but lack the granularity needed to analyze specific