Compuware APM Introduces Smart Network Packet Capture and Analysis With Enhanced Availability Analytics
New Version Simplifies Fault Domain Isolation Enabling Rapid Collaboration Between Network and Application Teams
February 04, 2014
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Compuware Corporation announced a major new release of its Data Center Real User Monitoring solution (DC RUM).

Enhanced analytics and new network packet capture and analysis capabilities simplify identification and triage of performance issues across applications, infrastructure and network. Now application operators can monitor and understand the network impact on application performance down to the transaction and user level at packet-level depth.

The new availability analytics span all layers of a business transaction, from the network TCP session all the way up to the application logic.

"This new version of DC RUM will change the way we triage performance issues across the network and application layers. Instead of manually correlating across different network and application tools, Compuware APM provides a single solution and workflow," said Doug Botimer, Technology Solutions Manager, at Marketing Associates. "Not only does Compuware DC RUM automatically identify the bottleneck, it provides the user and transaction context required to solve the problem with packet-level visibility."

DC RUM's end-to-end view encompasses detailed network, client and server fault-domain analysis, and streamlines the identification and isolation of a problem's root cause. This unique fault-domain isolation value is now supplemented by the ability to initiate, collect and analyze packet-level data in the context of DC RUM reports. This allows operations and performance teams to ascertain root causes of network issues by viewing the packet-level data collected in the context of the application, transaction and user analysis.

Additionally, by leveraging domain experience built from thousands of customers and hundreds of man-years invested in performance analytics, Compuware APM customers now benefit from enhanced analytics that embed these best practices into the product itself.

Enhancements to Compuware APM's DC RUM solution include:

- Smarter triage and delivery of actionable root-cause information to network performance teams including packet-level visibility. When performance problems are triaged to the network, Compuware APM provides analysis of transactions at packet-level depth. Unlike competitor offerings that simply capture raw network data, DC RUM provides application, transaction and user context for enhanced analysis.

- Quantifies the business impact of availability issues with smart availability analytics. Operations and performance teams can now automatically understand when application and network faults impact user experiences. Instead of pouring over potentially innocuous issues or missing errors that affect users, immediate notification of user-impacting problems is provided. DC RUM measures and automatically baselines all layers supporting a business transaction - from network TCP sessions to application logic - and shows at a glance the source of the problem with a single application health index.

- The ability to initiate packet captures, using the context of transactions, applications, users and other criteriato set the boundaries for packet-level collection and analysis. DC RUM combined with transaction trace analysis, Compuware APM's protocol analyzer with expert application insight, delivers the facts through the industry's broadest set of application decodes.

"As modern network and application architectures continue to increase in complexity, so do challenges around performance visibility and control," said Steve Tack, Vice President of Product Management for Compuware's APM business unit. "With this new release of our DC RUM solution, we deliver powerful new performance analytics that solve these challenges and support a smarter triage process to rapidly resolve issues. Customers can improve user experience through network packet-level capture and analysis with business context, and enhanced availability analytics."

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