Overview

This branch of the military operates and maintains a large aircraft fleet manned by over 239,000 service people around the globe. To provide weapons systems operational support, this Service Branch stores peacetime and wartime readiness data in its Integrated Maintenance Data System, a mainframe-based, enterprise-level automated maintenance management information system. Prior to this engagement, vehicle maintenance was reactive. Aside from regular maintenance procedures, vehicles are serviced when a problem happens.

Challenge

To improve maintenance protocol, this branch of the military sought to streamline its maintenance and procurement activities by implementing proactive, automated maintenance procedures for its fleet, military equipment and war machines. This branch of the military was also seeking to reduce dependence on a costly mainframe environment and eliminate the risk associated with a shortage of COBOL developers.

Solution

This required this branch of the military to modernize its mainframe architecture and use predictive analytics, Artificial Intelligence (AI), and Machine Learning (ML) to predict maintenance activity based on aircraft readings and schedule required maintenance before an event occurs. Astadia was chosen for its mainframe re-platforming strategy, which leveraged the mainframe’s COBOL-based code in a modern .NET framework running in the DevOps-friendly Azure Government Cloud.

Results

By modernizing its mainframe, this branch of the military will eliminate expensive mainframe hardware, software, and tooling and expects to:

Reduce annual IT costs by 75%

Realize a $23 million initial cost savings

Realize $120 million in cost avoidance over 5 years

Astadia has over 30 years of mainframe modernization experience, providing the largest, most highly skilled modernization team in the industry. With this expertise, Astadia blazed a path with a quick and agile approach to modernization at a cost that was 30% less than the competition.

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