AppDynamics uses intelligent algorithms to detect which Collections may potentially be leaking, and flags these Collections automatically so users can drill-down, and inspect the contents, to better understand what objects are being allocated, and how much memory these objects are consuming inside the Collection.įor example, in the above screenshot we can see that 109, 377 String objects have been allocated to a collection that occupies approximately 46MB of memory. But AppDynamics' Java memory leak detection can spot and flag leaking data structures:ĪppDynamics automatically tracks the size and growth of Java Collections like HashMap, HashSets and ConcurrentLinkedQueues over time as data in your application is requested and persisted within JVM memory. And you don't want to try a heap dump when the overhead could potentially bring down your app. If you do have memory leaks in Java, let's face it: spending hours trawling through thread dumps and profilers isn't fun. Memory leaks occur when the garbage collector is unable to remove unused objects from working memory. Identify the Source of Memory Leaks & Fast Garbage Collection is a "stop the world" event in the JVM so it's important to identify how frequently this occurs and what impact it can have on your application response times. You can also correlate this information with garbage collection cycles to understand how often memory is reclaimed by the JVM. With AppDynamics you can perform memory leak detection and also track heap usage over time, object count and physical size (MB) of the objects residing in memory, giving you great visibility into how much data is being persisted in the JVM at any one time and how much of your memory is being exhausted by different types objects and data structures.
Don't Fear Large Amounts of DataĪnother common reason for OutOfMemory exceptions is when the application queries large amounts of data from relational databases and tries to persist and process it in JVM memory.
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For example, OutOfMemory Exceptions can occur when PermGen space is exhausted by application code that is sometimes bigger than the default Perm Gen space in memory, typically 64 to 128MB. Using a solution like AppDynamics you can easily monitor the different memory pool sizes over time to understand just how close your application is to getting a Java memory leak so you can better fine tune your JVM memory settings and prevent Java memory leaks. Understand True Utilization of Memory Pools Pick up on leaks missed by Eclipse for code below JDK 1.5
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