Category: Technical How-to

In this post, we explore how a graph-based student assessment system powered by AWS services can bring automation, accuracy, and adaptability to the standards-alignment process. With this modern approach, EdTech platforms can deliver scalable, standards-compliant, and personalized learning experiences across K12 learning environments.

In this post, we walk through three solutions that allow AWS GovCloud (US) workloads to securely connect into the Amazon Web Services (AWS) commercial partition to perform inference with Amazon Bedrock. Each approach comes with different trade-offs, and by the end you’ll have a clear view of which path might be right for your organization.

AWS partners with providers of innovative solutions such as MemVerge, an AWS Partner Network (APN) Advanced Technology Partner, whose Memory Machine Batch (MMBatch) technology complements AWS Batch by providing advanced checkpointing capabilities for EC2 Spot Instances. In this post, we look at how MemVerge’s technology can overcome the challenges of interrupted pipelines by enabling pipelines that were interrupted mid task to start from where they left off, regardless of Spot Instance reclaims. We’ll also show how MemVerge’s Batch Viewer and proven best practices empower researchers to visualize their workloads, identify bottlenecks, and apply smart strategies that make their pipelines more efficient, resilient, and cloud-optimized.

Public sector agencies often need to provide information and services to citizens without needing authentication. At the same time, these agencies must make sure that their digital services remain secure, compliant, and reliable. Amazon Q Business embedded web experiences, when integrated with AWS Amplify, offer a powerful solution for delivering AI-powered conversational interfaces to unauthenticated users while maintaining robust security controls. This post explores how public sector organizations can use Amazon Q Business anonymous web experiences within AWS Amplify applications to enhance citizen services while implementing security best practices.

Open data is reshaping how we understand and respond to global challenges. From climate change to disaster recovery, the ability to access and analyze large-scale geospatial datasets is critical for scientific research, policy-making, and real-world applications. Leading the charge are several open data initiatives designed to lower access barriers and accelerate innovation: Open Data on AWS, the Amazon Sustainability Data Initiative (ASDI), and the Maxar Open Data Program on AWS. Together, these programs demonstrate the power of cloud-enabled open data to democratize access to geospatial information, promote global collaboration, and drive real-world impact. In this post, we demonstrate how to explore and visualize these datasets using interactive web applications and Jupyter notebooks.

In this post, we explore how Amazon Q Business is transforming government organizations through secure, AI-powered assistance across various use cases—from public records management to workforce development. Its robust security features, compliance standards, and data privacy controls make it an ideal solution for government entities undergoing digital transformation.

Organizations are modernizing their incident response by using AWS capabilities alongside chat-based collaboration platforms such as Slack and Microsoft Teams. This shift helps streamline monitoring, enabling centralized awareness, real-time collaboration, and faster threat detection and mitigation. In this post, we demonstrate how Amazon Q Developer in chat applications transforms incident response and team coordination, with practical examples using Slack integration.

University central IT teams serve as the backbone of campus-wide technology operations, managing critical infrastructure, services, and security that power both academic and administrative functions. These teams are responsible for orchestrating complex cloud environments across multiple AWS accounts, making sure they meet institutional standards while enabling innovation across the campus community.

In this post, we provide step-by-step guidance for deploying Malcolm—an open source network traffic analysis suite—natively on Amazon Elastic Compute Cloud (Amazon EC2), using the on-demand compute, elasticity, and scalability of AWS to eliminate traditional infrastructure overhead. This approach is particularly beneficial for cost-conscious public sector (federal, state, and local), utility, and industrial customers who require network and security monitoring to deliver on their missions.

What if paper forms could be processed at the same speed as digital forms? What if their contents could be automatically entered in the same database as the digital forms? Medicaid agencies could analyze data in near real-time and drive actionable insights on a single dashboard. Whether a provider submits claims electronically or on paper, the claim could be adjudicated using the same process and analyzed the same way, saving both time and money. AI and ML services from AWS allow Medicaid agencies to create this streamlined solution. Moreover, AWS enables the adoption of solutions like this by providing no code or low code serverless services. Read this post to learn more