AWS Architecture Blog

Vessel-specific voyage optimization with machine learning: Manta on AWS

Vessel-specific voyage optimization with machine learning: Manta on AWS

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.

How Anchorage Digital and Turnkey verify code with AWS Nitro Enclaves

How Anchorage Digital and Turnkey verify code with AWS Nitro Enclaves

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.

Recommended resilience testing in the next generation of AWS Resilience Hub

Recommended resilience testing in the next generation of AWS Resilience Hub

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.

Automate medical coding with Step Functions and Amazon Bedrock AgentCore

Automate medical coding with Step Functions and Amazon Bedrock AgentCore

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.

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.

Multi-region disaster recovery for Amazon API Gateway WebSocket APIs

Multi-region disaster recovery for Amazon API Gateway WebSocket APIs

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.

How UTS established a modern curriculum data services foundation on AWS

How UTS established a modern curriculum data services foundation on AWS

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.