Category: Technical How-to

This post shows how public sector and enterprise teams can build an agentic AI-powered classification system on Amazon Web Services (AWS) using the Strands Agents SDK, Amazon Bedrock, and serverless services. You will learn the architecture, the agent workflow, and how to implement this system using the Strands Agents SDK.

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.

In this series of blog posts, we will examine digital sovereignty and provide practical steps you can apply to your AWS workloads and environments to address the requirements of your business. This post is the first in the series and introduces the topic, exploring the concepts and explaining how you can practically implement them.

An open source Amazon Web Services (AWS) visual workflow is transforming how public health departments approach data integration, combining familiar drag-and-drop interfaces with the power and scalability of serverless architecture.

In this post, we look at asymmetric outbound network flows and how to remedy this routing for Amazon Web Services (AWS) workloads.

Organizations operating in AWS GovCloud (US) might require alternative architectural approaches, depending on service availability in their target Region. This post presents an architecture that’s deployable on AWS GovCloud (US) for secure generative AI experimentation using Amazon SageMaker AI, AWS Lake Formation, and Amazon Bedrock.

How can you use the power of agentic AI but give yourself a more deterministic (or consistent) output? In this post, we show you how Agent SOPs work and explain how you can use them in your agentic workloads.

MPAC, Ontario’s property assessment expert managing 5.7 million properties, faced mounting pressure on their IT support desk. Routine requests consumed most of the support team’s resources, creating bottlenecks and impacting organization-wide productivity. MPAC needed a round-the-clock IT support solution that maintained stringent security and governance standards for a public sector organization. MPAC’s IT Support Assistant—powered by their custom MPAC Orchestrator platform and Amazon Bedrock on AWS revolutionized its IT support.

In this post, we explore how the combination of a modern AWS Cloud architecture, streaming media, and AI technologies are evolving the Intelligence, Surveillance, and Reconnaissance (ISR) landscape, establishing a new era of enhanced mission system capabilities.

In this post, we introduce you to Kiro, an agentic AI development service, and show you how it can save you hours on your daily automation tasks. Learn how the Kiro command line interface (CLI) transforms DevOps automation with AI-powered agents that install, configure, and deploy infrastructure using natural language commands in minutes.