OPNET AppInternals Xpert

Real-Time Application Component Monitoring and Analytics


OPNET AppInternals Xpert continuously monitors performance-critical applications providing real-time component-level visibility across all servers in the application environment.

OPNET AppInternals Xpert tracks thousands of system and application metrics from the Java and .NET application server, web server, and database tiers throughout the application lifecycle, from development and QA, through deployment and operations.

Root cause isolation often involves time-consuming, manual analysis of performance metrics reported by disparate tools, typically owned by different IT teams. When problems occur, remediation can be a complex, lengthy, and costly process. OPNET AppInternals Xpert’s powerful real-time correlation technology automatically relates metrics across multiple application tiers to automatically spot performance anomalies and rapidly identify root causes.

Key Use Cases:

  • Production Monitoring
  • Pre-Deployment Testing
  • SOA Performance Management

Key Features:

  • Compatible with hundreds of custom and 3rd party business applications, including SOA environments
  • 24x7 high resolution monitoring of key application components (Java, .NET, databases, Web Services)
  • Real-time dashboards visualise key performance indicators (KPIs) for your critical applications
  • Automatic configuration of limits for thousands of KPIs straight out-of-the-box
  • Dynamic thresholds automatically adjust limits based on historical performance, reducing false alarms
  • Forensic "snapshots" capture and archive in-depth data on key events
  • Advanced deviation tracking automatically spots abnormal vs. normal behaviour
  • Thousands of application and system measurements are automatically correlated across multiple tiers to reveal unknown sources of application performance problems; invaluable in SOA performance management
  • Cross-platform visibility into selected web server, database, and system resources enables in-depth analysis of performance bottlenecks
  • Drill-down capabilities identify specific resources, such as Java classes or database components, that scale inefficiently
  • Deep transaction tracing enables a detailed analysis of execution times at the method level, and identifies specific JDBC or ADO calls and SQL statements that are responsible for application performance problems
  • Memory analysis and real-time memory leak detection
  • 1-second visibility into physical resource consumption of VMware virtualised servers
  • Insight into physical resource consumption of guest VMs enabling proactive identification of performance issues related to insufficient VMware provisioning