![]() ![]() Using JMX, Java monitoring tools can explore what threads are running in the JVM, the state of each thread, the CPU usage of each thread, etc. Managing and monitoring applications can be designed and developed using the Java Dynamic Management Kit. Those resources are represented by objects called MBeans (for Managed Bean). According to Wikipedia, Java Management Extensions is a Java technology that supplies tools for managing and monitoring applications, system objects, devices and service-oriented networks. Modern JVMs (1.5 and higher) support Java Management Instrumentation (JMX) APIs. It is, therefore, essential to identify the cause of the CPU spike: is it due to poorly designed application code, insufficient memory allocation, or an unexpectedly high workload? JVM Monitoring Can Assist with Diagnosis of Java CPU Issues Restarting an application will not solve a CPU usage problem – it only mitigates the problem for a short while, until the problem reappears. The server capacity may not be sized sufficiently to handle the rate of requests coming in and in such a situation, the Java application may be doing work, trying to keep up with the workload. Excessive workload: A JVM may max out on CPU usage because of the incoming workload.Instead of spending time in processing, the JVM spends more time in Garbage Collection, which in turn takes up CPU cycles. Memory bottleneck in the JVM: Interestingly (and very non-intuitively), shortage of memory in the Java Virtual Machine (JVM) can also reflect in high CPU usage.Recalculation of values that have already been calculated is another cause of Java applications taking up CPU.Inefficient usage of collections (e.g., performing a search on a large Vector with tens of thousands of elements, instead of using a HashMap for more efficient search) can also be reasons for high Java CPU usage.Recursive method calls (causing hundreds of recursions).Inefficient algorithms (poor application logic).Poorly designed application code with inefficient or infinite loops.Java applications may take high CPU resources for many reasons: ![]()
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