CA Mainframe Application Tuner Reviews

4.0 out of 5 stars
 (1)
8f5117b5 36bd 44b4 b617 060be7c3ceab avatar
Consultant
Capacity Planning Consultant in RSS COMPUTERS at a financial services firm with 1,001-5,000 employees
Jan 29 2018

What do you think of CA Mainframe Application Tuner?

Primary Use Case Systematically monitor all CICS transactions and, eventually, batch jobs. We need reliable information and identification of the text of offending queries. • Improvements to My Organization Beneath a specific transaction, you can see an example of optimization. It has also helped in cost reduction. • Valuable Features The DB2 feature, because DB2 is the is the main source of performance problems in our environment. • Room for Improvement When consumption occurs in program code. • Use of Solution Three to five years. • Stability Issues No issues with stability. • Scalability Issues No issues with scalability. • Customer Service and Technical Support Good. • Previous Solutions I had used Strobe, but it was very expensive, though...

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What is CA Mainframe Application Tuner?

CA Mainframe Application Tuner (CA MAT) is designed to identify the root causes of application performance inefficiencies in your mainframe application modules.

CA MAT can help improve your application response times and identify areas where you can lower CPU consumption.

CA MAT can help your performance management teams proactively identify problems by automatically finding and prioritizing concealed tuning opportunities, initiating measurements and analyzing the results.

CA MAT features an intuitive Eclipse-based GUI that you can customize according to your needs, enabling you to group related modules for quicker referencing. It delivers application-specific delay information to help you fix problems—as well as anticipate and avoid bottlenecks before they occur. This mainframe testing solution helps organizations get proactive with mainframe performance tuning as well as:

  • Pinpoint code inefficiencies.
  • Improve customer service.
  • Meet SLAs.
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