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JVM Metrics ​

This page documents Prometheus metrics exposed by the JVM instrumentation module of the Prometheus Java Client Library inside of Yellowbrick components.

Purpose ​

JVM metrics are essential for understanding the behavior and health of long-running Java processes. They cover a wide range of subsystems:

  • Memory usage (heap, non-heap, and memory pools)
  • Garbage collection frequency and duration
  • JIT compilation time
  • Thread activity and contention
  • Class loading dynamics
  • Process-level system statistics (CPU usage, open file descriptors)
  • Native memory tracking

These metrics help detect memory leaks, GC pressure, thread exhaustion, and performance degradation across critical components.

Metrics ​

NameTypeFreqLabelsDescription
Buffer Pool Metricsgroup10s-JVM buffer pool metrics
Class Loading Metricsgroup10s-JVM class loading stats
Compilation Metricsgroup10s-JVM JIT compilation metrics
Garbage Collector Metricsgroup10s-Garbage collector performance
Memory Metricsgroup10s-JVM heap/non-heap memory usage
Memory Pool Allocation Metricsgroup10s-JVM memory pool allocation metrics
Native Memory Metricsgroup10s-JVM native memory tracking
Process Metricsgroup10s-Process-level stats like CPU, memory, open fds, start time
Runtime Metricsgroup10s-JVM runtime and system properties
Threads Metricsgroup10s-JVM thread-related metrics