AWS Public Sector Blog

Category: AWS CodeBuild

Accelerate IRAP readiness with AWS and Wiz

Accelerate IRAP readiness with AWS and Wiz

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    In this blog, learn how AWS and Wiz accelerate IRAP readiness for Australian Government service providers by combining IRAP-assessed infrastructure with automated visibility, architectural guardrails, and continuous compliance monitoring. Discover how the AWS Shared Responsibility Model and Wiz’s contextual risk insights enable organisations to streamline assessments, reduce manual effort, and transform security into a competitive advantage.

Validating infrastructure as code against FedRAMP 20x Shift-left compliance

Validating infrastructure as code against FedRAMP 20x: Shift-left compliance

Catching a compliance violation in production is expensive. Catching it in a pull request is nearly free. In this post, we demonstrate how to build a multi-tool infrastructure as code (IaC) validation pipeline that checks AWS CloudFormation templates and Terraform configurations against Federal Risk and Authorization Management Program (FedRAMP) 20x Key Security Indicators (KSIs) before deployment. Combined with the preventive controls from Preventive controls for FedRAMP 20x: Using SCPs and guardrails to enforce KSIs and the methods to be described in future blog posts, this creates a full-lifecycle compliance architecture.

Anne Arundel County integrates generative AI into case management to empower staff and improve citizen services

Anne Arundel County integrates generative AI into case management to empower staff and improve citizen services

Every day, the Anne Arundel County, Maryland, Office of Community Engagement and Constituent Services receives hundreds of resident concerns by phone, online, and even in handwritten letters. These aren’t routine inquiries but complex problems, such as zoning disputes, permitting questions, and other issues that residents have escalated to the highest levels of county government. Staff […]

AWS Branded Background with text "Building machine learning operations framework with Amazon SageMaker: Technical Safety BC's Journey"

Building machine learning operations framework with Amazon SageMaker: Technical Safety BC’s Journey

Technical Safety BC (TSBC) regulates the safe installation and operation of technical systems (electrical, gas, boiler, elevator, etc.) in British Columbia. This post showcases how the TSBC built a machine learning operations (MLOps) solution using AWS to streamline production model training and management to process public safety inquiries more efficiently.

AWS branded background design with text overlay that says "Self-hosting source code of the Landing Zone Accelerator on AWS "

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

Some customers using Amazon 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 Amazon Simple Storage Service (Amazon S3) bucket. This post shows the technical steps necessary to install LZA using Amazon S3.

Building a secure and low-code bioinformatics workbench on AWS HealthOmics

Singapore General Hospital (SGH), SingHealth Office of Academic Informatics (OAI), and Amazon Web Services (AWS) collaborated to develop a cost-effective, scalable cloud infrastructure that enables researchers to perform their own analyses on a centrally secured and compliant cloud platform. AWS HealthOmics offers a suite of services that help bioinformaticians, researchers, and scientists to store, query, analyze, and generate insights from genomic and other biological data. Read this post to learn more about the three primary components of HealthOmics used in the solution.

AWS branded background design with text overlay that says "Disaster response and risk management using PNNL’s Aether framework on AWS"

Disaster response and risk management using PNNL’s Aether framework on AWS

The Pacific Northwest National Laboratory (PNNL) developed Aether as a reusable framework for sharing data and analytics with sponsors and stakeholders. Aether is a mature cloud-centered framework designed using Amazon Web Services (AWS) serverless services to provide a cost-effective and reliable environment for a dozen projects currently deployed with the framework. Read this post to learn more about how Aether’s serverless-first approach is enabling disaster response and risk management.

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Best practices for project management in the AWS Cloud

Amazon Web Services (AWS) employs project management principles to deliver public sector cloud outcomes. These principles drive successful service launches, new solutions, and workload migrations. Read this blog post to learn about the project management tools, references, and AWS Management Console tips that give public sector customers better project visibility, automate task management, and help accelerate project outcomes.

Building hybrid satellite imagery processing pipelines in AWS

Building hybrid satellite imagery processing pipelines in AWS

In this blog post, learn how companies operating in AWS can design architectures that maximize flexibility so they can support both cloud and on-premises deployment use cases for their satellite imagery processing workloads with minimal modifications. 

Canada’s Federal Geospatial Platform supports decision-making using AWS

Data has become a new global currency in the digital age, thus the capacity to turn it into useful information is becoming increasingly important. Geospatial data is collected and used by the Canadian government to support goals such as economic growth, environmental management, and social well-being.