Category: AWS Well-Architected

A multi-account strategy is important for Amazon Web Services (AWS) public sector customers because it is the foundation of cloud governance and compliance. Public sector customers using a shared account model can improve security and operational efficiency by adopting a multi-account strategy. In this post, we explore methods for existing AWS public sector customers to prepare for and migrate to a multi-account environment.

Amazon Web Services (AWS) offers a variety of options for building chat-based assistants with generative artificial intelligence (AI) capabilities. The goal of this post is to present in simple words some of these options and what to keep in mind to decide which to use and how to get started.

As government organizations transition to Amazon Web Services (AWS), they often seek to maintain operational continuity by using their existing on-premises firewall solutions. Gateway Load Balancer (GWLB) enables seamless integration of these firewall appliances into the AWS architecture, ensuring consistent security policies and minimizing disruptions. This post explores best practices for implementing GWLB to facilitate centralized traffic inspection for both east-west and north-south traffic flows.

When government agencies choose Amazon Web Service (AWS) to store data, they choose to take advantage of inheriting the strictest security controls and standards. In addition, AWS services offer a unique opportunity to enhance networking and security approaches, ensuring safe and resilient data transfer mechanisms. This blog post provides guidance towards data sharing among government agencies, offering prescriptive approaches and best practices for implementing secure data exchange solutions using AWS services.

On September 11, 2024, Amazon Web Services (AWS) announced the launch of the Provincial and Municipal Cyber Grant Program across Canada at the AWS Summit in Toronto. To help provincial and municipal governments implement cloud-based cybersecurity solutions, AWS is investing $5 million CAD in AWS credits to new and existing AWS customers.

Machine learning (ML) and artificial intelligence (AI) are transformative technologies, enabling organizations of all sizes to further their mission in ways not previously possible. But, it is critical to think responsibly about these technologies so that all users are treated fairly, data is appropriately protected, and individuals can make informed choices about consent. In this post, we discuss responsible AI and how you should think about your workloads. This approach will help ensure your AI systems are fair, transparent, and secure.

K12 leaders need tangible solutions and tactics for improving their school’s or district’s cyber-resilience in the coming school year, and Amazon Web Services (AWS) is committed to supporting schools and districts as they enhance the cybersecurity of their networks. Recently, AWS joined the White House, the Department of Homeland Security, and the Department of Education—among other leaders in the government and education community—to commit to improving the cybersecurity resilience of K12 education. As part of this commitment, AWS created the K12 Cyber Grant Program, offering up to $20 million in AWS Promotional Credits to both new and existing K12 customers.

In this post, you will learn how to deploy Amazon Web Services (AWS) Cloud Intelligence Dashboards (CID) using the Landing Zone Accelerator on AWS (LZA) solution. In doing so, you will learn how to customize your LZA deployment using the customizations-config.yaml file. By utilizing the LZA and CID together, you can streamline the deployment process, ensure compliance with best practices, and gain valuable insights into your cloud environment, ultimately leading to improved operational efficiency, enhanced security, and better-informed decision-making.

Within the Food and Drug Administration’s Center for Drug Evaluation and Research, the Division of Medication Error Prevention and Analysis (DMEPA) plays a critical role. DMEPA reviews premarket and postmarket drug labeling to minimize the risk of medication errors. In partnership with DMEPA, Amazon Web Services (AWS) Partner ICF is developing a machine learning (ML) prototype known as the Computerized Labeling Assessment Tool (CLAT). The prototype employs innovative applications of optical character recognition (OCR) technology and the novel use of computer vision techniques that will alleviate bottlenecks in and enhance the efficiency of the drug labeling review process.

The Amazon Web Services (AWS) Resilience Hub provides you with a single place to define your resilience goals, assess your resilience posture against those goals, and implement recommendations for improvement. In this post, we discuss how we can track the resiliency of software applications and infrastructure using AWS Resilience Hub to provide “always available” services and monitor changes to the application availability.