Automation, Optimization and Modernization of Batch System Management
ThruPut Manager automatically and intelligently optimizes batch processing. By balancing workload and improving batch throughput, ThruPut Manager delivers significant savings in software license fees and monthly licensing costs (MLC), and may allow you to defer expensive hardware upgrades.
Systems programmers can use ThruPut Manager to:
- Better prioritize batch processing based on business-related policies and goals
- Automatically select the most urgent jobs first without system overload
- Verify jobs have the resources they need and proactively manage resource contention between jobs
- Minimize Rolling 4-hour Average (R4HA) processing peaks with or without “soft capping”
The Value of ThruPut Manager
- Gain immediate, intuitive insight into batch processing that even inexperienced operators can readily understand
- Increase data center control and proper batch execution
- Dramatically reduce IBM MLC
- Delay expensive hardware upgrades
- Free up more mainframe resources available for mobile, web and cloud applications since better managed batch workloads reduce overall demand
- Correctly determine the R4HA for Country Multiplex Pricing (CMP) customers and constrains batch workload accordingly
Key Features of ThruPut Manager
Automated Service Level Management
ThruPut Manager provides an automation framework for batch SLA management, including service goals, reporting and automated actions to ensure SLAs are met. Real-time information is supplied on current service levels and trends.
Workload Balancing and Throughput
Dynamic initiators automatically control batch load and distribution to prevent over-initiation and improve batch throughput. Operations are more controlled and efficient. System performance evaluations are taken every 10 seconds, enabling precise decision-making amidst changing business demands.
Workload Prioritization and Escalation
ThruPut Manager automatically reorders the batch queue, ensuring that the most important workload gets done first and is progressively escalated.
Automatic Rule Retention
ThruPut Manager automatically retains batch workload business rules for installation. Rules are then applied consistently and repeatedly to system performance, improving batch throughput and maximizing savings. Rather than making decisions under pressure, ops teams instead make thoughtful choices ahead of time.
Automated R4HA Usage Monitoring and MSU Reduction
ThruPut Manager automatically monitors the R4HA and reduces MSU consumption to lower MLC costs when sub-capacity pricing is used. Reduced MSU consumption is achieved through constraining and deferring workload, rather than manipulating cap levels. When R4HA caps are in place, it automatically reduces demand in advance of the cap, constrains demand during capping period(s) and automatically restores workload to normal operations once the peak has passed.
Data Center Standards Management
ThruPut Manager automatically assigns job parameters to conform to data center standards, including job class, priority, job name, account, SYSOUT parameters, WLM service class and the scheduling environment. It replaces Mellon Mods and many in house JES2 user mods and exits.
Job Resource Analysis
All jobs are analyzed at submission to determine their resource requirements (up to 250 unique identifiers) to facilitate automated batch management and workload control.
Job Routing Management
ThruPut Manager automatically determines resource dependencies (e.g., licensed software, etc.), ensuring jobs run only where and when the specific resources are available. No user JCL changes are required.
Dataset Contention Management
ThruPut Manager eliminates dataset conflicts and ensures higher priority workload gets first access by detecting and resolving dataset contention.
Enhanced User Controls
Dependent job control, date/time based job selection and enhanced SDSF displays provide users with additional job control and status info.