Memory Monitor Workflow

To profile and optimize memory use, the typical workflow is to run your app and do the following:

  1. Profile the app using the Memory Monitor to find out whether undesirable garbage collection event patterns might be causing performance problems.
  2. If you see many garbage collection events in a short amount of time, dump the Java heap to identify candidate object types that get or stay allocated unexpectedly or unnecessarily.
  3. Start allocation tracking to determine where any problems are happening in your code.

The Java heap data shows in real-time what types of objects your application has allocated, how many, and their sizes on the heap. Viewing the heap helps you to:

  • Get a sense of how your app allocates and frees memory.
  • Identify memory leaks.

Allocation tracking records app memory allocations and lists all allocations for the profiling cycle, including the call stack, size, and allocating code. It helps you to:

  • Identify where many similar object types, from roughly the same call stack, are allocated and deallocated over a very short period of time.
  • Find the places in your code that may contribute to inefficient memory use.



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