Solutions for US Federal Government

This Guidance shows how to deploy a software-defined wide area network (SD-WAN) router to provide resilient communications and applications at the edge.

This Guidance shows two architectural patterns for deploying applications in tactical edge environments on AWS using third-party hardware devices and platforms.

This Guidance demonstrates how to deploy Rancher Kubernetes Engine (RKE2) at the edge with AWS services, enabling organizations to run mission-critical workloads in tactical edge environments with Denied, Disruptive, Intermittent, and Limited (DDIL) communication.

This Guidance demonstrates how you can enhance your airport’s operational efficiency and improve the passenger experience using the Internet of Things (IoT). Connect critical airport assets—like heating, ventilating, and air-conditioning (HVAC) systems; baggage handling, security, and access control systems; runways, taxiways, and passenger boarding bridges; and equipment and aircraft. Then, you can build an asset-monitoring system that provides insights and helps you streamline operations. You’ll be able to enact predictive maintenance, respond rapidly to downtime and disruptions, manage employee badges and tags, reduce passenger wait times, and make more-informed decisions.

This Guidance shows how you can streamline and accelerate product development by building an MBDE for engineering and design. Using AWS as the foundation, you can create a modern cloud computing platform that is more secure, agile, and lightweight than on-premises document-based engineering environments. You can also use MBDE-generated models and data to build advanced analytics and generative models for predicting system behavior. The MBDE approach centralizes management of your tools, helping you identify product development risks early, improve overall development performance, and streamline collaboration with stakeholders.

This Guidance demonstrates how teams of engineers, scientists, and researchers with a cloud environment can host licensed engineering tools required for comprehensive product development workloads.

This Guidance helps you accelerate your product development lifecycle by using AWS as the foundation for a model-based systems engineering (MBSE) approach to engineering and design. MBSE allows you to securely transform traditional document-based engineering environments to a modern model-based cloud computing platform. This multi-disciplinary and multi-application model helps aerospace companies adopt agile product development practices, connect with other aerospace teams across the globe, and gain the the support they need at every stage of MBSE adoption and automation.

This Guidance helps customers observe land use changes using geospatial data to support supply chain best practices. Customers can monitor changes in forest density using an Amazon SageMaker geospatial capability that simplifies the process of analyzing satellite images for changes in vegetation. Results are stored, cataloged, and observable on Amazon QuickSight for customers to review.