Case Studies/Automotive
US Automobile Giant Improves Mainframe Batch SLA from 32% to 99%

US Automobile Giant Improves Mainframe Batch SLA from 32% to 99%

Fortune 100 US Automobile ManufacturerNorth America18 months
$13.13M
5-year savings
99%
Batch SLA (from 32%)
67%
MIPS reduction
Faster batch cycle
Case study highlights

At a glance —
the essentials.

The Customer

Fortune 100 US Automobile Manufacturer

Industry: AutomotiveRegion: North AmericaDuration: 18 months
Mainframe ModernizationJCL to Java MigrationPerformance Engineering
Business Challenge
  • The client's mission-critical mainframe batch ecosystem was missing SLAs more than two-thirds of the time, throttling downstream manufacturing systems and delaying month-end financial close.
  • Years of incremental JCL changes had created an opaque, fragile dependency graph where any single failure required overnight manual recovery — driving up MIPS costs and operational risk.
Our Solution
  • Kumaran ran a full discovery sweep across thousands of JCL members, datasets, and scheduler triggers to rebuild an authoritative dependency map and prioritize the highest-impact jobs.
  • We migrated batch logic from JCL/COBOL to Spring Batch on Java, moving execution off the mainframe to a distributed Linux runtime — preserving exact business semantics through a parallel-run validation harness.
  • Performance engineering and intelligent re-sequencing of the job graph removed serial bottlenecks, while observability dashboards gave operations real-time SLA visibility for the first time.
Key Results
  • Batch SLA attainment jumped from 32% to a sustained 99%, eliminating overnight firefighting and unblocking downstream manufacturing and finance systems.
  • Mainframe MIPS consumption dropped by 67%, contributing to projected savings of $13.13M over five years on infrastructure and license costs.
  • End-to-end batch cycle time was cut by 3×, giving the business fresh data hours earlier each morning and enabling new analytics use cases.
By the numbers
$13.13M
5-year savings
99%
Batch SLA (from 32%)
67%
MIPS reduction
Faster batch cycle
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The downloadable report includes the complete technical narrative beyond the highlights above:

  • Platform Specifications Hardware, OS, runtime environment, and infrastructure topology — including detailed configuration of the source and target platforms.
  • Architecture Diagrams Before-and-after system topology, data flows, integration patterns, and component interaction maps from the production deployment.
  • Project Scope Workstreams, team structure, governance model, RACI matrix, and the phased delivery plan that kept stakeholders aligned.
  • Migration Methodology Phased cutover plan, parallel-run validation harness, automated regression strategy, and rollback playbook used to de-risk production changes.
  • Performance Engineering Bottleneck analysis, tuning techniques, and benchmarking results that drove the measured efficiency gains.
  • Lessons Learned What worked, what we'd do differently, and the reusable patterns we now apply to similar modernization programs.
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