Detecting z/OS Application & Workload Changes

 

One of the most common requests from z/OS performance professionals is the ability to detect workload and application changes. This can include:

  • When a new application is brought online
  • When a new version of an existing application behaves differently
  • When there is a problem with a started task
  • When important workloads or transactions deviate from the norm

Statistical approaches help save CPU time and MSU’s by being able to quickly see when something new comes online or when new application versions are less efficient.

And the added benefit is the contextual information available through simple drilldowns.

This video is an excerpt from the webinar, “RMF/SMF Analysis – Get Ahead of the Curve with Statistical Analysis.”

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Supported Areas in IntelliMagic Vision for z/OS Systems

Monthly License Charges (MLC)

Tune your processor configuration to increase the MIPS you get out of your mainframe hardware.

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Coupling Facility

Configure Coupling Facilities for optimal availability and proactively identify hidden health and performance risks

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Db2

See Buffer Pool imbalances and proactively identify upcoming risks to your Db2 health and performance

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CICS Transactions

Save time looking for problems and profile CICS transaction data and see transaction response time

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zEDC Cards

Ensure sufficient capacity and consistent performance for IBM zEDC availability.

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TCP/IP

Monitor the health of your TCP/IP and analyze traffic from different perspectives.

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Other Supported Environments

z/OS Disk and Replication

Early warning system that automatically identifies I/O issues in the making in your disk storage system and replication architecture.
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z/OS Virtual Tape

Performance and availability management for Virtual and Physical Tape, with specific support for IBM TS7700 and Oracle VSM tape solutions.
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SAN Storage and Fabric

IntelliMagic Vision collects performance and configuration information on the VMware, fabric and storage systems to provide a complete and end-to-end picture.
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