Strange memory consumption results in huge issues in production Java applications like performance issues caused by the usage of default JVM settings.
Unlike other memory monitoring tools (or logging), AppDynamics manages memory leaks easily. It runs in your production environment without much overhead. This means that the users can easily solve issues related to memory in your production application without affecting end user experience.
Ease of usage
Track memory in production
Cut down MTTR for memory-related issues
Real-Time Alerting for the JVM
Through dynamic SLA base-lining and pro-active alerting, AppDynamics notifies the support teams about performance issues before the users realizing it..
Understand True Utilization of Memory Pools
AppDynamics helps you comprehend how fast your application is exhausting memory by monitoring the different memory pool sizes over time. This allows to fine tune your JVM/CLR memory settings.
Don't Fear Large Amounts of Data
AppDynamics provides high level view into how much data is prevailed in the JVM and how much memory is exhausted by different data structures and objects at any one time by executing memory leak detection and tracing object count, heap usage over time, and physical size (MB) of the objects existing in memory.
Out Of Memory Exceptions and Memory Leaks
AppDynamics gives greater view of garbage collection, utilization of key memory pools and heap usage over-time. It auto-monitors memory leaks within the JVM with minimal user analysis. This allows instant detection of the cause.
Identify the Source of Memory Leaks—Fast
AppDynamics' Java memory leak detection identifies and flags leaking data structures swiftly. This means you don't have to spend time trawling through thread dumps and profilers or try a heap dump and thereby bring down your app.
AppDynamics monitors automatically the growth and size of Java Collections such as HashSets, HashMap, and ConcurrentLinkedQueues eventually as data in your application is demanded and insisted within JVM memory. AppDynamics utilizes brilliant algorithms to discover which Collections may possibly be leaking, and highlights these Collections automatically so users can step-down, and check out the contents, to better comprehend what objects are being owed, and how much memory these objects are devouring inside the Collection.
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