Category: AWS Lambda

This post explains how to build exactly that using Strands Agents and Amazon Bedrock. The entire solution runs in about 200 lines of Python code, and you can have it working on your computer after completing the pre-requisite steps.

This post distills how one Amazon Web Services (AWS) customer in the defense and aerospace industry interpreted the U.S. International Traffic in Arms Regulations (ITAR) and concluded that U.S. commercial AWS Regions could support their export-controlled workloads, including AI workloads, when configured appropriately.

Learn how Amazon Web Services (AWS) operates inside a scoped compute environment with an AWS Identity and Access Management (IAM) execution role, network segmentation, and defense-in-depth security meeting FISMA, FedRAMP, and DoD CCSRG standards.

In this post, you’ll learn how KBR—a global science, technology, and engineering solutions organization—achieved a 33.5% cost savings and a 27.09% increase in pipeline processing speed by migrating geospatial processing workloads from an x86 Amazon Elastic Compute Cloud (Amazon EC2) M7i instance to AWS Graviton processors while maintaining data accuracy within 0.002% of x86 outputs.

Learn more about the Technology Readiness Experimentation (T-REX) 26-1 exercise at Camp Atterbury, Indiana, validated this approach in December 2025, demonstrating real-time monitoring, predictive analytics, and automated optimization across 20 technologies operating simultaneously.

In this post, we share how Scouting America used this AI assistant to transform youth enrollment.

In this post, we share the winning projects, lessons learned, and how the experience continues to shape participants’ cloud careers at the Columbia X Amazon Bedrock Innovation Challenge.

In this post, we explore how federal agencies can accelerate modernization, improve cybersecurity incident response, and support continuous compliance monitoring using Datadog’s FedRAMP High authorized observability and security platform.

This post explores how cloud-native architectures built using Amazon Web Services (AWS) help research institutions manage, curate, publish, and analyze complex scientific datasets at scale.

Learn how student attentiveness and engagement analysis in live classrooms has been addressed with generative AI.