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BMC AMI Ops Automation for Capping

Automate workload capping to avoid risk and optimize costs

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Effective Cost and Capacity Management

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Four Best Practices to Optimize Mainframe Software Costs

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BMC AMI Ops Automation for Capping (formerly Intelligent Capping for zEnterprise) applies automated intelligence to manage business-critical MSU capacity settings to avoid operational risk, optimize costs, and meet the needs of digital demand.

Get control of your capping environment

Automatically manage capping limits to prioritize workloads and optimize mainframe software license costs which can consume 30-50% of the IT budget.

  • Dynamically automate defined capacity MSU settings to optimize your monthly software costs by 10% or more
  • Mitigate business risk by analyzing, simulating, and automatically managing changes to defined capacity settings based on workload profiles
  • Align capacity to business demand by ensuring MSUs are allocated to highest priority workloads
  • Patented technology drives capping adjustments, ensuring the most business-critical services are unaffected
  • Clearly see which LPARs are at risk of being capped
    Clearly see which LPARs are at risk of being capped
  • View 4-hour rolling averages, MSU limits, and capping percentages
    View 4-hour rolling averages, MSU limits, and capping percentages
  • Illustrate MSU consumption by LPARs and groups in the policy
    Illustrate MSU consumption by LPARs and groups in the policy

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Optimize resource utilization while minimizing business disruption

Achieve operational resilience by avoiding capacity risk and improving availability

VP of IT Ops
  • Lower risks of delaying high-priority, critical customer-facing workloads
  • Simplify and automate your capping to increase productivity
  • Optimize MSU utilization and peaks – translating into significant cost optimizations

Manage mainframe workload capacity while keeping the budget in line

Director of Capacity Management
  • Easily track LPARs at risk of being capped through simple dashboards
  • Intelligent alerting enables informed decision making if critical work is at risk
  • Tailored Fit Pricing (TFP) awareness takes into account when a workload doesn’t contribute to MLC peak

Dynamically automate MSU capacity and prioritize key workloads

Sr. Capacity Specialist
  • Manage workloads by creating capacity policy across multiple LPARs and groups
  • Maintain capacity neutrality and reduce overall MSU peaks by offsetting capacity increases with descreases across LPARs
  • Meet business demand by ensuring MSUs are allocated to highest priority workloads
Featured Mainframe Blogs
Bridging the Mainframe Capacity Management Knowledge Gap
Bridging the Mainframe Capacity Management Knowledge Gap
Intelligent Capping: Why Your Mainframe Might Need a Capacity Roundabout
Intelligent Capping: Why Your Mainframe Might Need a Capacity Roundabout
Five Myths of Mainframe Capping
Five Myths of Mainframe Capping

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