IntelliMagic Vision for z/OS Systems Performance Management
IntelliMagic Vision optimizes z/OS Systems performance management using AI-driven analytics to enable your z/OS experts to proactively monitor and manage your z/OS environment, prevent disruptions, optimize performance, reduce costs, and preserve the reliability and availability that mainframes are known for. IntelliMagic Vision has extensive support for z/OS Systems, Processors, and Network.
View this brief video to discover how IntelliMagic Vision can optimize your z/OS Systems environment.
Optimize z/OS Mainframe Systems Management with Availability Intelligence
Through RMF and SMF, z/OS offers a richer source of infrastructure measurement data than any other computing platform. However, the potential to use this wealth of information to prevent service disruptions remains vastly underutilized. This data cannot simply be interpreted without the right intelligence.
IntelliMagic Vision enhances the RMF data and applies its built-in knowledge to understand how the z/OS architecture handles your workloads. This helps you tune z/OS to improve performance and protect availability, and can also help tuning your processor configuration to increase the MIPS you get out of your mainframe hardware.
See how this intelligence can help you in the use cases below:
Monthly License Charges (MLC)
Tune your processor configuration to increase the MIPS you get out of your mainframe hardware.Learn More
Configure Coupling Facilities for optimal availability and proactively identify hidden health and performance risksLearn More
Ensure sufficient capacity and consistent performance for IBM zEDC availability.Learn More
Workload Manager (WLM)
Automated health check for workload manager (WLM) goals, improving performance and protect availability.Learn More
RMF 72 Transactions
Save CPU & Manpower with Reporting on Key Transaction Level MetricsLearn More
FICON Channels and Adapters
Compute and chart FICON Effective Channel Data Rate and rates if the value is good or notLearn More
Is this z/OS workload change normal?
Change Detection allows analysts to automatically detect workload and application changes, saving them countless hours of manual labor and intensive scrutiny while trying to determine the significance of changes
Deriving Insights from SMF 115 MQ Statistics Data
SMF 115 MQ Statistics records report metrics at the MQ queue manager level. These records are lightweight and have negligible CPU cost, so sites typically generate MQ Statistics records on an ongoing basis.
MQ Statistics - Learning From SMF
This article is designed to introduce you to the types of insights that are available through SMF data with a focus on the SMF 115 MQ Statistics data. After reading, you will have a better understanding of how MQ functions.