Illustrative industry use case
A Potential Engagement
A retail firm experiences extreme CPU utilization during nightly reconciliation. SAI Technologies restructures batch dependencies, tunes WLM parameters and measures the change in peak MSU usage.
Performance Optimization
Mainframe Operations and Performance Optimization
Continuous monitoring and performance tuning help prevent costly mainframe overages and hardware bottlenecks. SAI Technologies provides vendor-independent z/OS administration, Parallel Sysplex engineering, batch-window optimization and contracted 24/7 NOC monitoring.
The business problem
The Challenge
Unmonitored batch spikes during peak hours can drive up Rolling 4-Hour Average MSU metrics, while poorly tuned Parallel Sysplex configurations limit system scalability.
How SAI Technologies approaches the work
What SAI Technologies Can Deliver
Map WLM policies, Parallel Sysplex coupling facilities, batch schedules and resource allocations.
Use RMF and SMF data for capacity planning and diagnose JCL failures, abends and scheduling dependencies in Control-M, CA 7, AutoSys or ESP where deployed.
Track bottlenecks across z/OS, z/VM, z/VSE and Linux on Z using contracted NOC telemetry.
Adjust WLM configurations and re-sequence batch workflows to smooth peak demand.
Design, build and optimize Parallel Sysplex environments for continuous high-throughput processing.
Run tabletop exercises and live disaster recovery tests with system recovery teams.
Measures to agree before work begins
Target MSU reduction, batch-window runtime SLAs, MTTR thresholds and z/OS system uptime metrics.
A practical first SOW
Review current R4HA spikes, analyze top CPU-consuming jobs, execute WLM and batch tuning, and present measured software licensing savings.