AWS Architecture Blog

Category: Intermediate (200)

How Dynata scaled AI across the development lifecycle with AI-DLC and Kiro IDE

How Dynata scaled AI across the development lifecycle with AI-DLC and Kiro IDE

Dynata reimagined its development lifecycle with AI, moving from AI-assisted coding to the AI-Driven Development Lifecycle (AI-DLC) methodology with Kiro IDE. Learn how the company reduced the development phase of full-stack features from three to four sprints to roughly one, with every team aligned from the start.

Agentic antimicrobial resistance surveillance with AWS HealthOmics and Amazon Bedrock AgentCore

Agentic antimicrobial resistance surveillance with AWS HealthOmics and Amazon Bedrock AgentCore

This post presents a reference architecture that turns public sequencing data into plain-language answers about antimicrobial resistance (AMR) genes. It pairs AWS HealthOmics for managed genomics processing with a grounded Amazon Bedrock AgentCore agent, so researchers can ask questions without writing bioinformatics code or SQL.

Deploy open source Regional availability tools in your VPC

Deploy open source Regional availability tools in your VPC

Deploy AWS Regional availability data as infrastructure you own. Capability Insights for AWS runs a self-hosted dashboard in your VPC that auto-refreshes daily, and Workload Analysis narrows the catalog to the services your account actually runs, so your Regional expansion gap analysis focuses only on what you deploy.

How Samsung achieved real-time pricing with AWS Lambda Response Streaming

In this post, we walk through the legacy architecture challenges, the stateless streaming solution, key implementation patterns, and performance results—a pattern you can apply if you’re building high-traffic APIs that aggregate data from multiple backend sources.

Automate medical record digitization with Amazon Bedrock Data Automation and AWS HealthLake

In this post, you learn how to build an automated, serverless pipeline that converts scanned PDF medical records into FHIR R4-compliant data using Amazon Bedrock Data Automation and AWS HealthLake. We walk through the architecture, explain how each AWS service connects to the next, show you what the pipeline looks like when it runs, and get you deployed in under 20 minutes.