You can explicitly configure the initial and maximum heap size with the -Xms and -Xmx flags (e.g., -Xms 50m -Xmx 100g will set a minimum heap of 50 MB and a maximum heap of 100 GB).Īs your application creates objects, the JVM dynamically allocates memory from the heap to store those objects, and heap usage rises. If your application’s heap usage reaches the maximum size but it still requires more memory, it will generate an OutOfMemoryError exception. The JVM automatically selects initial and maximum heap sizes based on the physical host’s resource capacity, unless you specify otherwise. The JVM will dynamically allocate memory to your application from the heap, up to the maximum heap size (the maximum amount of memory the JVM can allocate to the heap, configured by the -Xmx flag). ![]() This initial heap size is configured by the -Xms flag. When the JVM starts up, it requests memory for the heap, an area of memory that the JVM uses to store objects that your application threads need to access. Then we will walk through correlating metrics, traces, and logs to gather more context around out-of-memory errors, and show you how to set up alerts to monitor memory-related issues with Datadog. In this post, we’ll take a look at how the JVM manages heap memory with garbage collections, and we’ll cover some key metrics and logs that provide visibility into the JVM’s memory management. ![]() Or, as the JVM runs garbage collection to free up memory, it could create excessively long pauses in application activity that translate into a slow experience for your users. But anyone who’s ever encountered a exception knows that this process can be imperfect-your application could require more memory than the JVM is able to allocate. The Java Virtual Machine (JVM) dynamically manages memory for your applications, ensuring that you don’t need to manually allocate and release memory in your code.
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