The days of having z/OS Performance and Capacity planning teams manually evaluate metrics to detect and resolve changes and risks are over. This webinar demonstrates the benefits of applying statistical algorithms to meaningful metrics, such as:

  • Automatic detection of workload changes
  • Quick notifications of service degradation
  • Understanding workload peaks in context
  • Accurately forecasting workload growth
  • Feed cross-platform application monitoring

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Experience firsthand the deepest visibility into your z/OS systems, processors, network, disk and tape environments. Whether you’re in the early stages of product research, evaluating competitive solutions, or trying to solve a problem, we’re happy to help you get the information you need to move forward with your IT initiatives.

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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