The U.S. Air Force operates and maintains thousands of military aircraft that are manned by over 239,000 airmen around the globe. To provide weapons systems operational support, the Air Force stores peacetime and wartime readiness data in its Integrated Maintenance Data System (IMDS) Central Database (CDB), a mainframe-based, enterprise-level automated maintenance management information system. Prior to this engagement, aircraft maintenance was reactive. Aside from regular maintenance procedures, aircraft are serviced when a problem happens.
To improve maintenance protocol, the USAF sought to streamline its maintenance and procurement activities by implementing proactive, automated maintenance procedures for its thousands of military aircraft, intercontinental ballistic missiles (ICBMS), and drones. The Air Force was also seeking to reduce dependence on a costly mainframe environment and eliminate the risk associated with a shortage of COBOL developers.
This required the Air Force 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. The USAF chose Astadia and 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.
By modernizing its mainframe, the Air Force will eliminate expensive mainframe hardware, software, and tooling and expects to:
Reduce IT costs by 90%
Realize a 2,836% Return on Investment (ROI)
Achieve a 5-month payback
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.