Tag: edge computing

In this blog post, learn how companies operating in AWS can design architectures that maximize flexibility so they can support both cloud and on-premises deployment use cases for their satellite imagery processing workloads with minimal modifications. 

Ground-based, extremely large telescopes (ELTs), such as the Giant Magellan Telescope (GMT), will play a crucial role in modern astronomy by providing observations of the universe with remarkable clarity and detail. However, managing the vast amount of data generated by these instruments and supporting optimal performance can be a challenging task. AWS provides a suite of cloud-based solutions that can help address these challenges and streamline ELT operations. Learn how various AWS services can be used to optimize data storage, management, and processing, as well as advanced monitoring and remote continuity techniques, leading to improved overall performance and efficiency for ELTs.

At re:Invent 2022, AWS announced that it successfully ran a suite of AWS compute and machine learning (ML) software on an orbiting satellite, in a first-of-its-kind space experiment. The experiment, conducted over the past 10 months in low Earth orbit (LEO), was designed to test a faster, more efficient method for customers to collect and analyze valuable space data directly on their orbiting satellites using the cloud.

At AWS, our customers and partners serving government, nonprofit, healthcare, and education are focusing on advancing the way they deliver critical services, improve the customer experience, build resilience into how they operate, and respond to disruptive events. With much progress made to date and with customers expecting the same digital experience and service as in other industries, expectations are only getting higher. So how can public sector organizations approach this new dynamic, and how can AWS support their missions?

Edge computing moves data processing and analysis close to endpoints where data is generated to deliver real-time responsiveness, and reduces cost associated with transferring large amounts of data. Edge environments include Internet of Things (IoT) or mobile devices, sensors, video cameras, and other connected resources. With edge, the usual security principles still apply such as protecting data at rest and in motion, but new considerations emerge. Learn more in the new IDC whitepaper.

In 2020, the U.S. Army’s XVIII Airborne Corps embarked on a mission to become the Army’s data-centric Corps. Headquartered at Fort Bragg, North Carolina, the XVIII Airborne Corps—also known as the “America’s Contingency Corps” — is the Army’s strategic response force and is at the ready to deploy anywhere in the world to defend the US and its Allies. To enable their data ambitions, the XVIII Airborne Corps sought to establish the first enduring tactical cloud presence for the conventional Army and leveraged the AWS Cloud to support their journey.

In a recent disaster response field testing exercise (FTX), the AWS Global Social Impact Solutions (GSI) team developed a prototype cloud architecture and tested it in a search and rescue (SAR) scenario simulating a missing responder crisis. This blog post walks through the SAR simulation and result, and provides an overview of the AWS services and technical architecture components the GSI team used to provide a hybrid edge/cloud COP solution that helped locate the missing team member in the simulated scenario within 20 minutes.

In the immediate aftermath of a natural disaster, cell towers, power lines, and telephone and internet cable are often damaged or destroyed, limiting the ability for responders to share data and access the internet. The AWS Disaster Response team conducted a field testing operation designed to replicate a common disaster response scenario, to show how to establish an ad-hoc network at field sites with limited connectivity and create a link to an office headquarters to provide access to cloud-based resources and data to responders in the field.

AWS recently participated in a technical demonstration, known as “On-Ramp 4,” to test edge computing capabilities for the Air Force’s Advanced Battle Management System (ABMS). ABMS is the Air Force’s contribution to the DoD’s Joint All Domain Command and Control (JADC2) vision. Under a Cooperative Research and Development Agreement (CRADA) with ABMS, AWS tested the ability to successfully integrate and deploy a tactical edge node solution leveraging highly resilient network connectivity and communications.