AWS Architecture Blog

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.

Anchorage Digital and Turnkey built verifiable infrastructure on AWS Nitro Enclaves so crypto wallets can cryptographically verify which code parsed a transaction. This post covers the architecture, the attestation-gated access pattern, and how it extends to any high-trust workflow beyond blockchain.

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.