BMC AMI Ops Automation for Batch ThruPut

Automate, optimize, and modernize batch system management

Batch processing is critical to business success, but IT leaders may take it for granted and many aren’t prepared when batch experts retire. With AMI Ops Automation for Batch ThruPut Manager, you can:

• Improve SLA performance by verifying jobs have the resources they need and proactively manage resource contention between jobs

• Prioritize batch processing based on business policies and goals and automatically select the most urgent jobs first without system overload

• Minimize rolling 4-hour average (R4HA) processing peaks with or without capping to reduce monthly license charges

• Provide real-time insight into batch execution progress, potential problems and delays, and trends in peak usage

• Reduce reliance on specialized knowledge of batch operations

Datasheet: BMC AMI Ops Automation for Batch ThruPut

Futureproof your batch for the next generation

• Automated service level management: Provides a framework for batch SLA management, including service goals, reporting, and automated actions

• Workload balancing: Dynamic initiators automatically control batch load and distribution to prevent over-initiation and improve batch throughput

• Workload prioritization: Automatically reorders the batch queue, ensuring that the most important workload gets done first

• Automatic rule retention: Retains batch workload business rules to ensure they are applied consistently and repeatedly to system performance, improving throughput and cost savings

• MSU reduction: Automatically and gradually constrains low-priority batch workloads contributing to peak R4HA in advance of the cap to avoid negative system-wide effects

• Dataset contention management: Detects and resolves dataset conflicts to ensure higher priority workloads get first access

• Job analysis and routing: Determines resource dependencies so jobs run only where and when the specific resources are available