GlassFish is one of the leading JavaEE application servers in the market and a popular choice for customers for deploying their application. Monitoring of performance and availability is key to an effective application performance management strategy.
AppDynamics automatically discovers and monitors application code running on GlassFish 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.
AppDynamics can also auto-discover business transactions from common entry points in GlassFish and its JVM such as servlets, struts actions, spring MVC, web services calls and even custom POJO entry points. From this context users can see how business transactions execute through various Java components like SOAP, EJB, JDBC, JMS, CICS as well as remote calls cross JVM and CLR calls for distributed transactions.
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.
AppDynamics also monitors GlassFish 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 GlassFish Server and its JVM with minimal user analysis allowing root cause to be found in minutes instead of days or weeks.
AppDynamics can collect and report all application run-time exceptions that are thrown inside GlassFish Server. This provide users with visibility of stack traces that are thrown when business transactions and user requests timeout or fail.
GlassFish Monitoring can also detect both SQL statement and NoSQL query latency with full visibility into SQL text and NOSQL queries like Cassandra Thrift and MongoDB BSON. Support for all relational databases like Oracle, SQL Server, MySQL, Sybase and DB2 as well as NoSQL database like Cassandra, MongoDB, CouchDB and HaDoop.