AWS Public Sector Blog

Category: Amazon Quick Sight

Supporting GSA CUI protection requirements with AWS

Supporting GSA CUI protection requirements with AWS

In this blog, we will discuss how federal contractors handling Controlled Unclassified Information (CUI) for the General Services Administration (GSA) face a critical reality when the updated security requirements are required to maintain your contracts. The stakes extend beyond business; inadequate CUI protection compromises sensitive government operations and US national interests. The recently updated GSA IT Security Procedural Guide CIO-IT Security-21-112 Revision 1 (January 2026) aligns with NIST SP 800-171 Revision 3 and sets the bar for protecting CUI in nonfederal systems. Learn how Amazon Web Services (AWS) provides security services specifically designed to help you address these requirements efficiently.

AWS Branded Background with text "AWS and MortarCAPS: A game-changing partnership set to revolutionize data management in post-secondary education"

AWS and MortarCAPS: A game-changing partnership set to revolutionize data management in post-secondary education

The post-secondary education sector is about to experience a seismic shift in how it manages data. In a landmark announcement, Amazon Web Services (AWS) and MortarCAPS have revealed a strategic partnership that promises to transform the way that tertiary education institutions handle information, support students, and drive innovation.

AWS Branded Background with text "Create a multicloud FinOps dashboard with Amazon QuickSight using AWS services"

Create a multicloud FinOps dashboard with Amazon QuickSight using AWS services

In this post, we use AWS Glue, Amazon Athena, and Amazon QuickSight to build a dashboard that tracks costs associated with AWS and third-party providers. This single pane of glass allows for quick monitoring at the senior leadership level, with the ability to dig further into specific spending categories for tools and environments. Additionally, this data system makes further analytics possible.

AWS Branded Background with text "Navigating financial turbulence: How Mid-Hudson Valley Federal Credit Union used AWS AI/ML to enhance forecasting and decision-making

Navigating financial turbulence: How Mid-Hudson Valley Federal Credit Union used AWS AI/ML to enhance forecasting and decision-making

Mid-Hudson Valley Federal Credit Union (MHVFCU) needed to automate their tools and develop advanced forecasting capabilities to make informed decisions for deposit management and growth to maximize benefit for their members. For this purpose, MHVFCU leadership sought a solution that would not only save time in data preparation and analysis but also provide accurate forecasts for balances across four key deposit products: savings, checking, certificate deposits (CDs), and money market. Read this post to learn about the solution they built with AWS.

AWS branded background design with text overlay that says "Near real-time dashboards from a source database to a cloud data warehouse on AWS"

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 Amazon Web Services (AWS) capabilities to present an end-to-end architecture for this data flow.

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Data dissemination for public sector on AWS

Sharing data is essential for organizations to make informed decisions and foster innovation. Amazon Web Services (AWS) offers a variety of tools and services to help distribute data securely and at scale. Whether it’s sharing public data for the common good, monetizing private datasets for business purposes, or collaborating with colleagues, AWS provides the necessary infrastructure and support. Read this post to learn more.

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Agile satellite communication ground systems with Amazon EC2 F2 FPGA solutions

In this post, we provide technical guidance to help satellite operators build, deploy, and analyze satcom waveforms on Amazon Web Services (AWS). Details are provided about the orchestration of multiple waveforms, including an example of one Amazon Field-Programmable Gate Array (FPGA) Image being swapped in for another. We analyze the FPGA utilization and metrics in Amazon CloudWatch and Amazon QuickSight, and validate network performance against system latency requirements. Finally, we recommend actions you can take to build an agile satcom strategy.

AWS branded background design with text overlay that says "Stop Soldier Suicide partners with Pariveda, AWS on mission to reduce suicide rates among US service members and veterans"

Stop Soldier Suicide partners with Pariveda, AWS on mission to reduce suicide rates among US service members and veterans

Because more than two-thirds of service members who die by suicide have no history of mental illness or suicidal ideation, Stop Soldier Suicide (SSS) started the Black Box Project in partnership with Amazon Web Services (AWS) Professional Services. Launched as an early prototype to identify data from devices of those lost to suicide, the project is an effort to gain better insight into the warning signs of suicide in veterans to help support suicide postvention, intervention, and ultimately prevention. Read this post to learn more.