AppInternals Xpert provides real-time performance analysis of complex applications by monitoring system and application metrics within each server, across all tiers. AppInternals Xpert automatically spots performance anomalies with advanced deviation tracking and correlation technologies, pinpointing symptoms that might otherwise go undetected. AppInternals Xpert’s proactive notifications, summary dashboards and interactive drill-downs provide valuable insight into application usage and performance patterns, while reducing the risk of application deployment failures and production outages.

AppInternals Xpert features high resolution data captures, visibility at the method level, and cross-tier analytics for both .NET and J2EE applications. Support for the .NET framework covers extensive metrics collection, event and metric correlation, dynamic threshold alarms, transaction tracing, and identification of application errors.

AppInternals Xpert is successfully used by customers in production and QA environments. It is used to reduce application downtime, accelerate troubleshooting, and ensure successful application deployment.

Reduce Application Downtime: AppInternals Xpert’s round-the-clock monitoring and intelligent alarms proactively detect production performance issues, enabling application teams to resolve problems before end-users are impacted.
Ensure Successful Deployment of High-Performance Applications: AppInternals Xpert automatically analyzes performance breakpoints enabling QA load testing teams to provide detailed feedback to development.
Accelerate Problem Resolution: AppInternals Xpert’s in-depth automated analysis enables development and support teams to rapidly troubleshoot and optimize performance.

• What .NET classes had a large change in response time relative to what’s normal for that time of day?
• What are the current values for Key Performance Indicators (KPIs) for my application?
• When my application is slow, what are my slowest .NET classes?
• Did any metrics, on any tier, change dramatically at the same time my application exhibited performance problems?
• When my reporting ASP.NET page is slow, is anything on SQL Server correlated?
• Is there a relationship between intermittent CPU spikes and the execution of particular ASP.NET pages or generic classes?
• As load increases, what .NET classes scale disproportionately compared with their peers?
• Are CPU, disk or transaction rates disproportionate to workload?
• What were my overall slowest .NET classes last week?

	Java/J2EE	.NET
Method-level instrumentation inside virtual machine	JVMPI/JVMTI/JMX	ICORProfiler
Categorized classes	Servlet, JSP, Portlet, EJP, JMS, etc.	ASP.NET
Generic classes
Database connectivity	JDBC	ADO
SQL statement detail
Heap object analysis	JVM	CLR
Real-time memory leak detection	JVM	CLR
Heap utilization and garbage collection	JVM	CLR
Container-level metrics (e.g. thread counts)
Auto-tuning and configuration
Transaction tracing (complete call stack)
Application-specific dashboards
Integrates with OPNET's comprehensive suite of Application Performance Management solutions
Fully leverages AppInternals Xpert analytics (correlations, dynamic thresholds, deviations)
Cross-correlation across heterogeneous Java/.NET environments
Mature shared code base
Standardized configuration across .NET and Java

Easily compare values for sets of related metrics. AppInternals Xpert automatically discovers correlated metrics, identifying cause-and-effect relationships across tiers and technologies.

Deep transaction tracing enables a detailed, diagrammatic presentation of execution times at the method level, with drill-down to details such as specific ADO calls and SQL statements.