AWS Architecture Blog

Attach governance context such as classification, retention, residency, and PII flags directly to your Amazon S3 objects with S3 annotations. This post walks through the end-to-end pattern and the handful of S3 behaviors that decide whether your governance design is correct.

The next generation of AWS Resilience Hub introduces recommended resilience testing: four pre-configured, AWS FIS-powered tests that validate how your service detects and recovers from failures across Availability Zones, dependencies, and Regions, turning your resilience policy into evidence-backed pass or fail results.

Learn how to combine deterministic orchestration with bounded agentic reasoning using AWS Step Functions and the Amazon Bedrock AgentCore harness. This medical coding workflow escalates cheapest-first: a safety block-list, then exact matching, then an AI agent only for terms that need judgment, keeping every routing decision auditable.

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.

Learn how to build multi-region disaster recovery for Amazon API Gateway WebSocket APIs. This design pattern combines Amazon Route 53 DNS failover, Amazon DynamoDB Global Tables, a canary health probe, and client-side reconnection logic to reconnect clients and restore session state automatically during a regional failover.

The University of Technology Sydney built a modern curriculum data services foundation on AWS that treats curriculum data as a governed, reusable product, available through APIs, graph traversal, semantic search, and event delivery, while leaving the source Curriculum Management System authoritative. One engineer now operates the domain.

The next generation of AWS Resilience Hub adds three capabilities to keep workload scope and resilience requirements aligned with your running environment: Amazon EKS label support for service input sources, generative AI-powered Dependency Insights, and resilience policy sharing through AWS Organizations.

Learn how VIPRE Security built an AI-powered email security solution on AWS to stop business email compromise. VIPRE Integrated Email Security uses machine learning and a serverless architecture on Amazon ECS, Amazon SQS, and Amazon S3 to detect and block sophisticated email impersonation in real time, without MX record changes.

In Part 2 of our Bulk Executor for Amazon DynamoDB series, we share how we built the tool: the design tradeoffs, surprises, and workarounds we hit while working with DynamoDB and AWS Glue. Consider it a travel guide for anyone building their own bulk tooling on AWS Glue.

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.