US Automobile Giant Improves Mainframe Batch SLA from 32% to 99%
At a glance —
the essentials.
US Automobile Giant
- A US automobile giant operating 12 manufacturing plants producing 5.9 million products annually faced critical mainframe batch performance issues. Batch SLA was met only 32% of the time, with numerous jobs taking 20+ hours to complete and only 5% finishing within 1 hour. Batch overruns missed the SLA 3 times per week, leaving the application non-functional at 6:00 AM. High mainframe CPU utilisation slowed online application response times, users could not log in during batch issues, and maintenance costs for the legacy system were high.
- Migrated COBOL/JCL batch programs to Java Spring Batch using the proprietary NxTran tool, and migrated z/OS DB2 to LUW DB2 including stored procedures
- Spring batch jobs scheduled and monitored via Kumaran's Quartz Scheduler UI; online applications optimised for performance through query optimisation
- Transactional DB implemented for online/batch processing alongside a reporting DB for interfaces, reports, and queries; complex integrations with upstream and downstream applications delivered
- Batch SLA improved from 32% to 99%
- Estimated 5-year savings of $13.13 million in efficiency hours and maintenance expenses
- Jobs completing within 1 hour increased from 5% to meeting 99% SLA compliance
- Future-ready platform evolvable into a single modular manufacturing system
- Improved application performance, user experience, and end-user productivity
Mainframe batch SLA transformed — from 32% to 99%.
A US automobile giant with 12 manufacturing plants partnered with Kumaran to modernise its mainframe batch infrastructure, improving batch SLA from 32% to 99% and delivering an estimated $13.13 million in 5-year savings. Using Kumaran's proprietary NxTran tool, COBOL/JCL batch programs were migrated to Java Spring Batch and z/OS DB2 to LUW DB2, with a custom Quartz Scheduler UI for batch monitoring and full query optimisation for online performance. The result was a scalable, distributed platform ready to evolve into a unified modular manufacturing system — eliminating the performance bottlenecks that had been disrupting operations 3 times per week.
The Background
The manufacturer's legacy mainframe batch system had become the single biggest constraint on operational reliability. With batch jobs routinely missing SLA windows, users unable to access online applications during batch issues, and numerous jobs consuming 20+ hours of processing time, the 6:00 AM application readiness target was being missed repeatedly. Peak periods — new model production, payroll weekends, and month-end reporting — made the situation worse, and the high cost of mainframe maintenance was adding financial pressure to an already critical technical situation.
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