On January 21, 2013, OC Systems released version 3.4 of RootCause Transaction Instrumentation (RTI). Significant enhancements have added to this product that helps monitor web applications through JBoss Operations Network:
- New Resource Metrics Available – RTI now collects JMX resource metrics from monitored JBoss or Tomcat servers when connecting directly. The JMX metrics provide information about pool size and usage for EJBs, JDBC connections, JMS queues, thread pools, and other server resources. With the new RTI metrics users can track and tune the resource pool sizes to handle test and production loads and prevent starvation (pool too small for load) or over allocation (pool too large for load). The new RTI resource metrics are also available when connecting via JBoss Operations Network and supplement the JBoss ON metrics.
- RTI Console Visualization Enhancements – The new RTI Console includes enhancements for visualizing the standard deep-dive trace data and the new JMX resource metrics now collected by RTI. A new summary view provides a tabular overview of all the events and metrics collected from a deep-dive trace and serves a starting point for visualizing related groups of metrics. A new overview timeline view displays all transactions in a data-set as a timeline to indicate when transactions are arriving and being processed. The new transaction summary view displays a summary table of all events in a single transaction which make simplifies spotting high calls counts or long processing times in a transaction under analysis. The new GC chart view displays all garbage collection and JVM heap metrics information in one view to make identifying GC/heap issues quick and easy. The JMX chart view is available to examine JMX metrics associated with resource usage like EJB pools, thread pools, and JDBC connection pools.
- RTI Console Workflow Improvements – The new RTI Console includes several enhancements to the performance management workflow. The new console has an increased data capacity giving direct access to larger deep-dive data-sets. The decomposed transaction view automatically expands the transaction fully and displays slowest path information to speed the detection of root cause for slow transactions. A simplified filtering interface speeds the process of finding and comparing similar events to identify anomalous executions. A new transaction property view provides quick access to method-level context information for the events that comprise a transaction.
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