Summary
The JVM allocates native memory to maintain its class metadata, application code, the code generated by JIT, internal data structures, and more.
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To analyze non-heap usage, the -XXX:MetaspaceSize and -XX:MaxMetaspaceSize tuning flags can be used to limit the size of the Metaspace and Code Cache data areas, respectively.
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Additionally, performance monitoring and profiling of various platforms can be used to monitor non-heap memory usage.
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Reflection can also be used to limit non-heap memory usage.
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According to
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Summary
The JVM allocates extra native memory to maintain its class metadata, application code, the code generated by JIT, internal data structures, and more. Native Memory Tracking can be used to monitor these allocations and reduce the consumption of memory beyond the -Xmx limit. The -XXX:MetaspaceSize and -XX:MaxMetaspaceSize tuning flags are used to limit the size of the Metaspace and Code Cache data areas, respectively.
Native Memory Tracking in JVM | Baeldung
baeldung.com
Summary
The Java Virtual Machine (JVM) has two memory segments, the heap and non-heap, which are used to store Java objects and other meta-data. The JVM has a heap size of 64 Mb, which is reclaimed by an automatic memory management system, and non-heap memory is used to store loaded classes and other meta-data. Performance Monitoring and Profiling of Jenkins, Bamboo, TeamCity, Gradle, Maven, Ant and JUnit is a powerful tool for performance monitoring and profiling of various platforms.
Knowledge base and FAQ - JVM Memory Structure
yourkit.com
Summary
One way to limit non-heap memory usage is to make parts of the Framework as general-purpose as possible. An example of this is the use of reflection to create and inject dependencies into your application's beans.
Memory footprint of the JVM
spring.io
While Java’s garbage collector does its best, even the most experienced programmers ... heap is full? To help you answer this question, let’s analyze a ...
How to Detect Java Memory Leaks | Toptal®
toptal.com
Analyzing Java Memory Chapter: Memory Management The goal of any Java memory analysis is to optimize garbage collection (GC) in such a way that its impact on application response time…
Analyzing Java Memory | Dynatrace
dynatrace.com
As a rule of thumb, for abnormally high CPU usage we only need to look at RUNNABLE threads. We'll use thread dumps together with other commands to acquire extra information.…
How to Analyze Java Thread Dumps | Baeldung
baeldung.com
HeapAnalyzer analyzes Java heap dumps by parsing the Java heap dump, creating directional graphs, transforming them into directional trees, and executing the heuristic search engine. The following are examples of…
IBM HeapAnalyzer
ibm.com
