The performance of mission-critical production applications is impacted by many interconnected factors, including system resources, database and application architecture, the efficiency of application code, and network infrastructure. Analyzing the performance of applications prior to deployment, under load conditions that are similar to production, is an essential step towards assuring application quality throughout the application life cycle.

OPNET Panorama™ for QA provides real-time performance analysis of complex Java/J2EE applications in the quality assurance (QA) test lab, by monitoring system and application metrics from within the different servers in the test environment. OPNET Panorama™ Plus for QA stress tests the application to identify breakpoints, and analyzes performance bottlenecks under transaction load conditions. In addition, OPNET Panorama™ provides visibility into performance-critical Java application code with deep transaction tracing from within the Java Virtual Machine (JVM).

Easily compare values for sets of related metrics. Panorama automatically generates views based on the "top offenders."

.

Key Features

• Automated stress testing discovers application "choke-points"
• Cross-platform visibility into selected web server, database, and system resources during a load test enables in-depth analysis of performance bottlenecks
• Summary dashboards visualize key aspects of application performance
• Automated baselining and advanced deviation tracking identify components that scale disproportionately
• Thousands of application and system measurements are automatically correlated across multiple tiers to pinpoint specific metrics associated with performance bottlenecks, and reveal unknown sources of performance problems
• Java transaction tracing enables a detailed, diagrammatic presentation of execution times at the method level, with drill-down to details such as specific JDBC calls and SQL statements

Graph load, throughput, and response time for the major components in your J2EE/.NET application environment. View metrics whose values have been the furthest outside of their 'normal' range for a particular time interval.