AWS Public Sector Blog
Category: Developer Tools
Integrate AI-powered coding assistance in secure environments using Continue and Amazon Bedrock
Organizations adopting modern software development activities continue to embrace the advantages of AI and large language models (LLMs), maximizing the productivity of developers. Amazon Q Developer provides you with an AI coding companion that delivers direct access for developers to the AI companion within the integrated development environment (IDE). In this post, we walk you through an example you can use leveraging the power of Amazon Bedrock to provide a coding assistant in your IDE.
AWS accelerates digital public infrastructure adoption with automation
In this post, we explore how AWS enables the automation of deploying a DPI-based solution stack. We highlight Sunbird RC (Registry and Credentials) as a real-world digital public goods (DPG) building block. The following example provides an overview and execution of the packaging available in the Sunbird community GitHub repository for provisioning required AWS services and deploying Sunbird RC services.
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.
Establishing a robust cloud platform and operational model through the CCoE
This post is part three of a four-part series that addresses how a Cloud Center of Excellence (CCoE) can be a viable solution to address the challenges of digital transformation. In this post, we address the three technical perspectives of the Amazon Web Services Cloud Adoption Framework (AWS CAF). While the business, organizational, and governance perspectives of the AWS CAF are crucial, the CCoE must also focus on the technical capabilities required to build and operate a cloud environment that meets the organization’s needs.
Generating and editing AI images using Amazon Lightsail for Research
In this post, we show how Amazon Lightsail for Research can help you successfully deploy an artificial intelligence (AI) image generation model using open source software. We walk through deploying a Lightsail for Research GPU instance using a simplified console experience. We cover how to set up cost control rules in order to prevent or manage unnecessary costs. And we show how you can open network ports on your Lightsail for Research instance to allow others to access the software you are running.
Extracting insights from PubMed articles using Amazon Q Business
PubMed Central (PMC) is a leading resource for biomedical literature, offering a vast repository of full-text biomedical and life sciences journal articles. While PMC offers immense potential to accelerate scientific progress, inform evidence-based practice, and drive innovation in the biomedical and life sciences fields, the sheer volume of data presents a significant challenge. This is where Amazon Q Business comes in. It’s a powerful service designed to streamline the process of analyzing vast amounts of scientific literature and provide valuable insights efficiently. Read this post to learn more.
Moving from AWS CodeCommit or Amazon S3 to external configuration repositories for Landing Zone Accelerator on AWS
Organizations deploying the Landing Zone Accelerator (LZA) on AWS solution, provided by Amazon Web Services (AWS), often face challenges in managing and versioning their configuration files. In this post, we explore how to use GitHub as a configuration file repository for the Landing Zone Accelerator on AWS solution, allowing better version control, collaboration, and automation in your LZA deployments.
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.
Using AWS CDK to build an extensible file-scanning solution for Amazon S3 buckets
In today’s digital world, ensuring the security of information is essential. One common scenario where data security is crucial is when files from external sources are received by an organization. While Amazon Simple Storage Service (Amazon S3) provides robust security features like the default encryption of all uploaded files, there are scenarios where it’s important to ensure that the incoming files are free from any kind of malware, such as viruses, before they are processed or stored inside the organization. Read this post to learn more.
How to use AWS Wickr to enable healthcare workers to interact with generative AI
Amazon Web Services (AWS) Wickr is an end-to-end encrypted messaging and collaboration service with features designed to keep internal and external communications secure, private, and compliant. In this post, we present an architecture that uses the Wickr messaging solution for protected communication with a generative AI backend system, which uses an existing open source project: the AWS GenAI Chatbot. Read this post to learn more.