The z/OS platform excels at efficiently executing transactions and is a critically important component for many business applications. Yet, application development teams rarely have an understanding of how application program changes impact the performance and cost efficiency of the underlying z/OS infrastructure.
Nearly all z/OS performance and capacity experts have stories about an application being launched into production and causing major service level delivery problems and/or unexpected z/OS infrastructure costs. These production problems happened despite existing DevOps test procedures for new application versions.
Last year IBM announced that z/OS mainframe clients could triple the capacity of their development environment with no increase in MLC. Being able to afford a properly sized Dev/Test environment is extremely valuable, but it is not enough to prevent these performance and cost issues.
Our past webinar, Easy z/OS Application Performance Testing Services from the Infrastructure Perspective, discussed an easy way to see variances in the “application performance signature” from an infrastructure perspective.
The webinar covered:
- Application Infrastructure Performance Signatures
- How to Automate the Calculation of Variances between Releases
- How to Increase Collaboration between DevOps areas
- How to Achieve Fewer Unexpected Infrastructure Cost Increases
- How to Have Fewer Production Performance Problems
In the webinar, we examined the historical reasons why the performance and financial cost impact on the z/OS infrastructure has been difficult to test in DevOps organizations and how utilizing a modernized approach with artificial intelligence can significantly improve release quality as it relates to the z/OS infrastructure’s ability to efficiently deliver the service levels required by specific applications.
The z/OS Performance and Capacity Skills Gap
IntelliMagic Vision collects performance and configuration information on the VMware, fabric and storage systems to provide a complete and end-to-end picture.
Understanding & Dealing with z14 Traffic Patterns
The z14 is designed for massive, parallel processing. So why do delays still occur? This webinar will explore common sources of application delays and discuss practical solutions to reduce these delays.
What Will Happen to Your MICS or MXG Legacy When You Retire?
z/OS infrastructure performance experts are retiring in growing numbers. When that golden day of retirement arrives for you, what will happen to that SAS and MXG or MICS reporting toolset that you spent decades developing?
Easy z/OS Application Performance Testing from the Infrastructure Perspective
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