IT organizations today must provide optimum performance of their critical business services, many of which encompass multiple systems and technologies - everything from mainframes to J2EE and .NET to Web services. Dealing with application components in isolation rarely allows organizations to take full advantage of their existing investments, and may result in unacceptable delays in executing business. Moreover, when there is a problem, the business cannot determine which customers, users and businesses are being impacted, while IT struggles to identify and resolve the problem.

This webcast will explain how mainframe and end-to-end transaction visibility and proactive monitoring can enable you to detect and remediate issues quickly and collaboratively to achieve a competitive edge in customer satisfaction with higher ROI. You'll see how integrating J2EE, .NET, and SOA performance monitoring capabilities with deep mainframe performance insight can help you achieve the optimum performance that your customers demand.

Discover how organizations like yours have been able to:

• Predict performance problems before customers are affected
• Achieve deep visibility into complex SOA Web environments
• Achieve a single point of visibility into all relevant performance metrics
• Correlate Web performance metrics with mainframe performance metrics
• Improve performance tuning through sophisticated automation

You will learn about how a large Southwestern U.S. insurance company and BRZ, the leading e-government partner in Austria, have used these solutions in order to gain visibility into their mainframe applications and perform proactive application performance management to prevent problems BEFORE they occur. They will take you through the implementation of these solutions, including the results and effects of automated application performance management.

Sign up today for this valuable webcast to learn how integrated Web-to-mainframe performance management can help you achieve higher levels of availability, performance and customer success rates.