Increasing JVM Performance

JVM Performance

With AppDynamics, you can monitor JVM health and performance in a live production environment without having to worry about affecting end user experience. You’re able to visualize and map JVM dependencies, automatically discovering and mapping of all tiers that service and interact with your java Application and JVM. This gives you a far superior high-level view into your application performance than other Java performance tools.

Monitor Business Transactions

AppDynamics can auto-discover business transactions from common entry points into your JVM such as servlets, struts actions, spring MVC, web services calls and even custom POJO entry points. From this context you can see how business transactions execute through various Java components like SOAP, EJB, JDBC, JMS, and CICS, allowing you to monitor JVMs from a high level.

Real-Time Alerting for the JVM

AppDynamics also provides dynamic SLA base-lining and pro-active alerting so that performance issues can be notified as they surface, giving application and production support teams an early warning before end user experience and service levels start to breach.

OutOfMemoryExceptions and Memory Leaks

AppDynamics also provides the user with visibility of heap usage, garbage collection and utilization of key memory pools over-time. AppDynamics can also track and monitor memory leaks automatically inside the JVM with minimal user analysis allowing root cause to be found in minutes instead of days or weeks.

Detect Thrown Exceptions

AppDynamics can collect and report all application run-time exceptions that are thrown inside the JVM server. This provide users with visibility of stack traces that are thrown when business transactions and user requests timeout or fail.

More about What You Can Do with AppDynamics JVM Monitoring

You’re also able to Monitor JVM health and Performance, understanding the health of your JVM with key Java profiling metrics like response time, throughput, exception rate, and garbage collection time as well as key system resource like CPU, memory, and disk I/O.