Performance monitoring and Tuning // IT Management Solutions

Performance monitoring and Tuning

Visualize and Map JVM Application Dependencies

AppDynamics automatically detects and maps all the tiers that interact with and service your Java application. This gives you a high-level view into application performance far superior to that of other Java performance monitoring tools.

Monitor JVM Health and Performance

Understand the health of your JVM with key Java tuning and profiling metrics, including: response time, throughput, exception rate, garbage collection time, code deadlock (Java). In addition, you can monitor key system resources like CPU, memory, and disk I/O – all in the same UI.

Distributed Business Transaction Tracing

AppDynamics J2EE monitoring has advanced tag-and-follow tracing of distributed transactions across your JVMs. Simple intuitive view of how a distributed business transaction executes and where bottlenecks exist.

Troubleshoot Java Code Latency in Minutes

AppDynamics provides full visibility into Java code execution as business transactions and requests are processed by the JVM. This allows you to isolate latency and pinpoint its root cause in minutes, making Java performance tuning easier than ever.

Trending of JMX and Custom MBean Metrics

AppDynamics provides a comprehensive metrics viewer that allows you to correlate, trend and analyze key metrics from your JVM and Container (via JMX) as well as metrics via custom MBeans.

Automatic Memory Leak Detection

Detect and troubleshoot memory leaks and object thrash issues, even under production load.

Audit JVM Configuration Changes and Application Deployments

AppDynamics will automatically report any changes to the JVM run-time environment configuration as well as track new application deployments and JVM restarts. This helps you understand when and what changes were made to your application environment and assists with Java performance tuning.

SQL and NoSQL Latency

AppDynamics can provide you with monitoring capabilities for both SQL (Oracle, SQL Server, MySQL, Sybase, DB2, etc.) and NoSQL technologies (Cassandra, MongoDB, Hadoop, etc.) ensuring you have full visibility into how your database queries impact application performance.

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