Increasing Websphere Performance

Increasing Websphere Performance

IBM WebSphere is one of the leading JavaEE application servers in the market and a popular choice for customers for deploying their applications. Monitoring of performance and availability is key to an effective application performance management strategy.

AppDynamics automatically discovers and monitors application code running on WebSphere and provides deep visibility of how it executes through the JVM in production. This enables users to understand where latency is spent and how system resource like CPU and memory is consumed by an application and business transactions.

WebSphere Server Benefits:

Monitor Business Transactions

AppDynamics automatically discovers and monitors application code running on WebSphere and provides deep visibility of how it executes through the JVM in production. This enables users to understand where latency is spent and how system resource like CPU and memory is consumed by an application and business transactions.

Real-Time Alerting for WebSphere

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.

OutOfMemoryException and Memory Leaks

AppDynamics also monitors WebSphere Server memory providing 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 WebSphere Server and its 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 WebSphere Server. This provide users with visibility of stack traces that are thrown when business transactions and user requests timeout or fail.

Monitor Key WebSphere Server Metrics:

  • Average Response Time
  • CPU Utilization
  • JVM Memory and Heap Usage
  • Disk I/O
  • Thread Pools
  • Enterprise Java Bean (EJB) Pool Statistics
  • Java Database Connectivity (JDBC) Connection Pool Statistics
  • Session Statistics
  • Servlet Session Counts
  • Custom MBeans attributes via JMX