AWS Public Sector Blog

Category: Security, Identity, & Compliance

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4 best practices to enhance research IT operations with AWS

Academic research IT departments around the world face the same challenge: how to balance their existing on-premises infrastructure with the opportunities of cloud computing. At the Supercomputing 2024 (SC24) conference, HAQM Web Services hosted a panel featuring two research IT leaders: Circe Tsui, associate director of solutions architecture at Emory University in the Office of Information Technology, and Dr. Robert Shen, director of the RMIT AWS Supercomputing Hub (RACE) at the Royal Melbourne Institute of Technology (RMIT). During the panel, Tsui and Shen shared how their institutions use AWS to augment and enhance their research operations with more scalability, security, and collaboration alongside their on-premises infrastructure. Read this post to learn more.

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Self-hosting source code of the Landing Zone Accelerator on AWS

Some customers using HAQM Web Services (AWS) prohibit users from installing software from public sources. Recently, the Landing Zone Accelerator on AWS (LZA) solution added optional capabilities to support this use case. Instead of installing directly from the public LZA GitHub repository, which is the default installation path for most customers, LZA can be self-hosted from your own HAQM Simple Storage Service (HAQM S3) bucket. This post shows the technical steps necessary to install LZA using HAQM S3.

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Govplace helps NIH Office of Portfolio Analysis scale on demand and reduce research costs on AWS

As the primary agency of the US government responsible for biomedical and public health research, the National Institutes of Health (NIH) is one of the leading medical research centers in the world. The NIH Office of Portfolio Analysis (OPA) is tasked with helping NIH prioritize its research. OPA wanted to find a better way to optimize its cloud costs as its analytical research demands continued to grow. That need led OPA to work with AWS Partner Govplace, a systems integrator and solution provider for the public sector. Read this post to learn more about how OPA reduced research costs and scaled on demand.

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Securely onboarding countries to the AWS Cloud

In an increasingly digital world, governments and public sector entities are seeking secure and efficient ways to use cloud technologies. As we’ve innovated and expanded the HAQM Web Services (AWS) Cloud, we continue to prioritize making sure customers are in control and able to meet their national regulatory requirements. In this post, we share how AWS is collaborating with national cyber regulators and other public sector entities to enable secure adoption of the AWS Cloud across countries’ public sectors.

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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 HAQM 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.

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Near real-time dashboards from a source database to a cloud data warehouse on AWS

Organizations require solutions for real time or near real time dashboards that can be provided to their customers without impacting their database performance or service level agreements (SLAs) to their end users. In this post, we showcase the integration of HAQM Web Services (AWS) capabilities to present an end-to-end architecture for this data flow.

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NATO’s march to multi-domain operations: Transforming the alliance with hyperscale cloud

Across NATO’s 32 member states, today’s rapidly evolving threat landscape requires continuous modernization of advanced technology solutions, underscoring the strategic importance of the alliance’s digital transformation. This modernization effort demands speed, scale, security, and global innovation capabilities to stay ahead. Collaborating with technology leaders like HAQM Web Services (AWS) can accelerate innovation and NATO’s ability to deliver mission-ready solutions to counter known and emerging threats.

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Well-rounded technical architecture for a RAG implementation on AWS

In the age of generative artificial intelligence (AI), data isn’t just king—it’s the entire kingdom. Our previous blog post, Anduril unleashes the power of RAG with enterprise search chatbot Alfred on AWS, highlighted how Anduril Industries revolutionized enterprise search with Alfred, their innovative chat-based assistant powered by Retrieval-Augmented Generation (RAG) architecture. In this post, we examine the technical intricacies that make this system possible.

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Reduce IT costs by implementing automatic shutdown for HAQM 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 HAQM Elastic Compute Cloud (HAQM 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.

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Enabling AI leadership in the age of government efficiency

Global leaders are convening in Germany this week at the annual Munich Security Conference (MSC) to discuss key foreign policy and security challenges. Amid these discussions, one thing is clear: global leadership increasingly hinges on technological progress. In particular, the rapid progress of artificial intelligence (AI) presents an extraordinary opportunity for transformative innovation. For the U.S. government, this moment marks a crucial inflection point: embrace bold modernization of digital infrastructure and AI investment or risk being outpaced by global competitors.