The U.S. Department of Defense (DoD) is implementing a Software Modernization Strategy that emphasizes agility, cloud adoption, and a software-factory methodology to enhance speed and adaptability. However, a Hudson Institute study suggests that the current approach is insufficient for modern warfare demands, advocating for a dynamic DevSecOps approach to leverage data effectively. This involves developing "software factories" that focus on rapid prototyping, deployment, and constant monitoring to ensure security and stability, thus reducing approval times through a continuous authority to operate. The strategy includes integrating observability solutions and Elastic's platform to monitor environments comprehensively, utilizing AI and machine learning (ML) capabilities for anomaly detection and actionable insights. The study highlights the importance of recognizing software, data, and AI/ML as interconnected elements necessary for operational AI models. Elastic's open and iterative approach supports the DoD in developing and deploying software efficiently, offering a flexible and cost-effective model that facilitates the creation and adaptation of solutions.