Open at the Infrastructure Edge: Transforming Raw Data into Warfare Dominance

In military operations, having all the data in the world doesn’t matter if you can’t use it to maximize use of your resources and firepower where and when they’re most needed. There is no shortage of technology in the Department of Defense (DoD). However, there is a major gap when it comes to the tools that support data-driven decisions for the military teams in the field.

Taking action on data collected in edge environments—far from core datacenters—requires sending raw data collected in the field back to command and then waiting for a decision. The time required for data collection, transmission, processing, and decision-making gives peer adversaries a major advantage. Accelerating innovation across application and infrastructure development at the edge is critical to meet the speed of relevance.

To achieve this, military IT operations need the ability to disrupt the present mode of moving data to centralized servers for processing and decision-making. Transforming data from the field into warfare dominance requires changing where and how data is processed. The tactical edge must become more than a site for data collection. Military teams need near real-time data insights—made possible with technologies like containers, Kubernetes, and artificial intelligence and machine learning (AI/ML). And bringing data processing power to edge environments allows decision-making to be automated, allowing the military leaders to respond to new information faster. To support near real-time cyber awareness posture, your actionable intelligence needs to be generated as close to raw data sources as possible to permit operational velocity for your OODA (observe, orient, decide, and act) loop.

In this webinar we’ll cover:

Key concepts behind and importance of edge computing
How open and agile systems help with warfare dominance at the edge
Building ubiquitous platforms from the data center to the edge for a "build once, deploy anywhere" developer experience
Examples of DoD edge use cases

Speaker and Presenter Information

Rich Lucente
Principal Solutions Architect, North America Public Sector, Red Hat

As Principal Solution Architect supporting the DoD, Rich has almost twenty years of experience working directly for large and small DoD system integrators. With almost ten years at Red Hat, Rich focuses on the needs of DoD customers to adopt technologies and platforms that simplify tactical operational workloads and enable the military to adapt to rapidly changing environments.

Anne Dalton
Edge and Data Science Specialist, North America Public Sector, Red Hat

Anne Dalton is a Solutions Specialist for Red Hat focused on clients within the United States federal government. She is an open source evangelist with a focus in cloud migration, DevSecOps, data science, and edge computing. With a passion for communication, Anne helps organizations uncover the new art of the possible when taking their unique workloads to the edge.

Jason Dudash
Chief Architect, North America Public Sector, Red Hat

Jason Dudash is a Chief Architect at Red Hat, where he helps organizations understand and strategize around emerging open source technology. In this role, his current focus is on digital modernization, microservices, machine learning, and Kubernetes. Prior to joining Red Hat, he was a lead for research and development (R&D) and innovation efforts at Raytheon and was a Chief Engineer. His past work spans a wide spectrum of use cases—from large autonomous unmanned air vehicles to tiny mobile devices for precision agriculture.