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This article focuses on using Elastic's data platform to unify telemetry from dispersed military assets, addressing the operational visibility challenges inherent in Agile Combat Employment (ACE). While the context is defense logistics and distributed control, the core technical subject is the architecture for correlating heterogeneous data streams to enable remote expert intervention, which aligns with AI/ML infrastructure applications.
Distributed by design: Why Agile Combat Employment needs one platform, not a dozen
Learn how Elastic helps ACE's data problem by unifying, normalizing, and correlating heterogeneous data across sites, providing a common operational picture of equipment health, performance, and security.
Agile Combat Employment (ACE) scatters United States Air Force aircraft, Airmen, and support equipment across austere, thinly connected locations. Distributing assets creates a major manpower and expertise challenge: not enough specialists available at every site to operate, monitor, and maintain equipment. Instead, cross-utilized Mission Ready Airmen must operate without a specialist nearby. Closing this gap requires a unified data strategy, providing remote visibility into equipment health across the area of responsibility, so experts can augment on-site teams when complex issues arise. For the United States Air Force (USAF), ACE succeeds or fails on a fundamental question: Can we see across operational seams fast enough to act? The challenge is maintaining visibility as the USAF transitions from main operating bases to…
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