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Heap dump

As explained in The Art of Code

A heap dump is a snapshot of the objects and memory state of a managed runtime heap at a particular time.

A heap dump captures the managed runtime heap’s objects and memory state at a particular moment. It becomes especially valuable when a Java process fails so severely that ordinary debugging cannot rely on a responsive JVM. section 7.1.4

Use a heap dump as one part of post-mortem and exploratory diagnosis:

  • Capture it around failures such as OutOfMemoryException when logs and stack traces do not reveal the root cause. section 7.1.4
  • Compare memory evidence with garbage-collection logs, thread dumps, monitoring metrics, and normal resource baselines. section 10.3.2
  • Treat it as diagnostic evidence rather than in-process recovery; fatal failures generally call for code fixes, infrastructure correction, or fail-fast behavior. section 7.1.4

Production memory failure

A production Java service throws OutOfMemoryException and becomes unsuitable for ordinary debug-mode investigation. A heap dump preserves the memory state at failure; investigators then compare it with garbage-collection behavior, thread activity, logs, and resource metrics to narrow the root cause. section 7.1.4 section 10.3.2

How The Art of Code covers it

How deep it goes
Defines heap dumps and their diagnostic role, but stops short of specifying capture commands, dump formats, or interpretation procedures.
Examples
Uses OutOfMemoryException, production-only failures, garbage-collection logs, thread dumps, and resource baselines as diagnostic examples.
What you can do after
Diagnose memory-related Java failures by correlating heap state with runtime, application, and infrastructure evidence.
How it connects
Connects heap dumps with garbage collection, thread dumps, memory leaks, monitoring metrics, and fatal runtime errors.

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