![]() This allows for any code running in your application to be instrumented – be it code you wrote or 3rd party libraries your application depends on. This method has greater access to your application since the code is being rewritten at the bytecode level. Java Agent profilers use the Java Instrumentation API to inject code into your application.For an example, see Spring AOP Method Profiling. These profilers are simple to set up but you need to know what to profile. The injected code can start a timer and then report the elapsed time when the method finishes. Aspect Profilers use aspect-oriented programming (AOP) to inject code into the start and end of specified methods.Lightweight profilers take a different approach at tracking your application by injecting themselves right into the code. Products like XRebel and Stackify Prefix. They slow down your application a good deal of processing power is required for the high level of detail provided.(Note: some profilers can work off thread and memory dumps in a limited fashion.) ![]() Requires a direct connection to the monitored JVM this ends up limiting usage to development environments in most cases.Good for tracking CPU usage, a Java profiler usually provides a CPU sampling feature to track and aggregate CPU time by class and method to help zero in on hot spots.The ability to manually run garbage collection and then review memory consumption can easily shine a spotlight on classes and processes that are holding on to memory in error. Great for tracking down memory leaks, standard profilers detail out all memory usage by the JVM and which classes/objects are responsible.This allows a developer to dive into the call structure at whatever angle they choose. These profilers will track all method calls and memory usage. This depends on the type of debugging task. Products like VisualVM, JProfiler, YourKit, and Java Mission Control.Ī standard Java profiler certainly provide the most data, but not necessarily the most usable information. Application Performance Management (APM) tools used for monitoring applications live in production environments.Lightweight profilers that highlight your application with a bit of abstraction.Standard JVM profilers that track every detail of the JVM (CPU, thread, memory, garbage collection, etc).Let’s dive into the three different kinds of Java profilers: Java profilers have been around forever, but the profilers most developers think about are only one type. Debugging performance issues in production can be a pain and in some cases impossible without the right tools. ![]()
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