AWS Architecture Blog

This final post turns the DR framework into a repeatable engagement: a five-step sequence from kickoff and gap assessment through progressive validation to an updated recovery commitment, with a real before-and-after example and ways to compress the timeline from months to weeks. Part 3 of a three-part series.

After you define your DR targets, testing tells you whether they hold. This post walks through a four-level progressive validation model (tabletop, planned failover, surprise drill, and game day) and shows how each level surfaces a different class of recovery gap that feeds back into your commitment. Part 2 of a three-part series.

A disaster recovery strategy is only as strong as the business decisions behind it. Before you choose an architecture pattern, three decisions shape whether recovery succeeds: what you’re actually recovering, what the business needs from that recovery, and what your dependencies allow you to commit to. Part 1 of a three-part series.

Keeping a large Amazon EC2 fleet continuously recoverable with AWS Elastic Disaster Recovery is a lifecycle challenge. This post shows how to automate the full DRS agent lifecycle (install, heal, and offboard) using AWS Systems Manager Automation and Amazon EventBridge, driven by a single EC2 tag and no Lambda functions.

Learn how BMW Group migrated its connected vehicle platform from x86 to AWS Graviton. Using Karpenter, multi-architecture container builds, and Graviton-based CI/CD runners, the team moved workloads without disruption, cutting NGINX ingress CPU by about 57 percent and delivering about 40 percent better price-performance.

Learn how boAt built its AI Coach feature on Amazon Bedrock and AWS Lambda to deliver personalized, real-time fitness coaching to millions of smartwatch users across India, and the design choices that made the solution scalable and cost-effective.

Accelerating API adoption while reducing operational overhead is a challenge that every growing organization faces. For Revinate, a hospitality provider serving over 12,500 hotels worldwide and powering more than 1.25 billion guest profiles, Amazon API Gateway became the foundation of their solution. Revinate empowers hoteliers to connect directly with guests at every touchpoint, driving $24 […]

Smarsh used the AWS Well-Architected Framework’s Agentic AI Lens to review its first agentic workload. Because the lens is not yet selectable in the console, the team encoded it as a Claude skill that assessed all 150 best practices against the workload’s GitHub repository and produced an evidence-backed review workbook in hours instead of days.

See how to use Kiro, an agentic AI, to automate converting raw training material into compliant SCORM packages that are ready to upload to a learning management system (LMS).

Manta Marine Technologies closes the gap between seemingly identical ships by training machine learning models on each vessel’s own operational history. Learn how Manta delivers vessel-specific voyage optimization on AWS to help shipowners reduce fuel consumption and improve voyage efficiency.