AWS Public Sector Blog
Tag: Amazon EventBridge
How Fair Trade USA uses AWS to improve working conditions for farmers
Fair Trade USA™ is a nonprofit organization that is committed to eliminating poverty by promoting sustainable development through ethical trade. They work to ensure fair compensation, safe working conditions for farmers and workers, and sustainable farming practices. In this post, you’ll learn how Fair Trade USA leverages Amazon Web Services (AWS) to improve working conditions for farmers and producers around the world.
Amazon EC2 Spot Instances for scientific workflows: Using generative AI to assess availability
In recent years, public sector organizations have found success running their scientific data processing workloads on Amazon Web Services. As the number of workloads increase with the massive data volume and complex scientific simulations, organizations are looking for ways to optimize cost while maintaining research momentum. Amazon EC2 Spot Instances presents a compelling option to run unused Amazon Elastic Compute Cloud (Amazon EC2) capacity with an up to 90 percent discount compared to On-Demand prices. However, the intermittent nature of Spot Instances often requires careful consideration, especially when handling time-sensitive mission-critical workloads. In this post, we discuss how organizations can effectively identify opportunities to use Spot Instances and Amazon Q Business to develop an enhanced Spot Instance analysis.
Test and integrate ground segment with AWS Ground Station digital twin
Amazon Web Services (AWS) customers building software-defined ground segment solutions with the AWS Ground Station now have more confidence in their solution: they can integrate their DevOps practices with AWS Ground Station’s digital twin feature, which became generally available in August. The digital twin is useful for both aspiring and existing AWS Ground Station customers to achieve faster outcomes without applying for satellite licensing and more cost-effectively than scheduling a production satellite contact. Read this post to learn more.
Securely running AI algorithms for 100,000 users on private data
This post explores the architectural design and security concepts employed by Radboud University Medical Center Nijmegen (Radboudumc) to build a secure artificial intelligence (AI) runtime environment on Amazon Web Services (AWS). Business leaders dealing with sensitive or regulated data will find this post invaluable because it demonstrates a proven approach to using the power of AI while maintaining strict data privacy and security standards.
Reduce IT costs by implementing automatic shutdown for Amazon EC2 instances
To remain viable and continue to fulfill their mission, educational institutions are constantly seeking ways to optimize their IT costs while maintaining high-quality services. One often overlooked area for potential savings is the management of cloud resources, particularly Amazon Elastic Compute Cloud (Amazon EC2) instances. Many universities and colleges find themselves facing unexpected costs when EC2 instances are left running during off-peak hours or periods of inactivity. In this post, we explore how higher education customers can implement automatic shutdown mechanisms for EC2 instances, significantly reducing cloud expenses.
Using AWS for EHDS: A technical guide to building a secure health data platform
In an earlier post, Build secure and scalable data platforms for the European Health Data Space (EHDS) with AWS, we discussed a reference architecture for building secure and scalable data platforms for secondary usage of health data in alignment with the European Health Data Space (EHDS) using Amazon Web Services (AWS). This follow-up post walks you through the technical implementation details for building such federated data governance and analysis platforms using AWS. Whether you are a healthcare organization, technology provider, or systems integrator, this post aims to equip you with the technical knowledge to build a secure data platform for secondary usage of health data in alignment with the EHDS Regulation.
Strengthen foundation model queries through Amazon Bedrock-Amazon Alexa integration
Today, generative artificial intelligence (AI) is at the core of many of the decisions and technologies businesses across the globe are implementing. The linchpin to ensuring that generative AI is effective depends on the foundation models (FMs) storing the data. To make sure that those FMs are pulling the correct data, Amazon Web Services (AWS) has developed a solution through Amazon Bedrock to generate SQL to answer user questions about the data. The solution was developed to support the Federal Institute of São Paulo (IFSP) and has optimized their decision-making.
Enhancing resource sharing with AWS Outposts
In this post, we explore how AWS services, open source software, and bespoke source code can help address resource sharing enhancements requested by public sector customers using AWS Outposts. This solution aims to provide greater flexibility, control, and cost management for organizations leveraging Outposts in multi-account environments, specifically focusing on key AWS resources, including Amazon Elastic Compute Cloud (Amazon EC2), Amazon Elastic Block Store (Amazon EBS), and Amazon Simple Storage Service (Amazon S3) on Outposts.
Simplify satellite contact reporting with the AWS Ground Station contacts dashboard
This post shows how Amazon Web Services (AWS) Ground Station customers can start using the Contacts dashboard for AWS Ground Station solution to fulfill their AWS Ground Station reporting and tracking needs. This solution automatically maps AWS Ground Station contacts to their associated costs and provides a feature-rich dashboard reporting capability.
University Hospitals Coventry and Warwickshire NHS Trust digitizes and improves patient experience with AWS
Like many healthcare providers, University Hospitals Coventry and Warwickshire (UHCW) NHS Trust, which manages two major hospitals and serves a population of more than one million, has operated with legacy technology that relies heavily on phone calls and manual processes for contacting patients. Recognizing an opportunity to modernize, the Trust linked up with IBM Consulting for an innovative pilot project to digitize patient engagement channels using Amazon Web Services (AWS). Read this post to learn more.