AWS Public Sector Blog

Keith Boaman

Author: Keith Boaman

Keith is a senior solutions architect with AWS supporting U.S. Department of Defense (DoD) customers. He is passionate about helping customers adopt AWS technologies to transform their mission. In his spare time, he enjoys fishing, yard work, and spending time with his wife and two daughters.

AWS Branded Background with text "Integrate AI-powered coding assistance in secure environments using Continue and Amazon Bedrock"

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.

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Documenting the use of Amazon EC2 Auto Scaling groups in DoD

Many Amazon Web Service (AWS) customers in regulated environments such as the U.S. Department of Defense (DoD) struggle to gain security approval to take advantage of the scaling of Amazon Elastic Cloud Compute (Amazon EC2) using its Auto Scaling capabilities. This is often attributed to configuration management, total asset inventory, compliance with agency third-party security tools, and agency authorization documentation. This post provides AWS recommended best practices for implementing EC2 Auto Scaling in DoD environments.