RMF/SMF Analysis—Get Ahead of the Curve with Statistical Analysis

RMF/SMF Analysis—Get Ahead of the Curve with Statistical Analysis

Content by IntelliMagic

Accelerate detection of z/OS workload and infrastructure performance changes

The days of having z/OS Performance and Capacity planning teams manually evaluate 

metrics to detect and resolve changes and risks are over.

Advanced statistical algorithms applied to the most meaningful metrics will automatically 
identify significant changes to the z/OS workloads and applications, and enable capacity 
planners to accurately forecast workload growth.

This statistical approach, combined with the predictive capabilities of Availability Intelligence, 
is the most advanced way to understand the performance and availability of the z/OS platform.

Featured Speakers:

Brent Phillips
Managing Director, Americas

Dr. Gilbert Houtekamer
Founder and Managing Director

Back to Event Center

By registering, you agree to IBM Systems Media Privacy Policy: http://www.ibmsystemsmag.com/privacypolicy/
close log in form button
Log In Now Not Registered?

close register form button
  • z/OS
  • z/VM (Linux on z Systems)
  • z/VM (Not hosting Linux on z)
  • Other z Systems OS
  • IBM i
  • AIX
  • Linux on Power
  • Agree