AWS Architecture Blog

Learn how Novus Hi-Tech, with the AWS Prototyping and AI Customer Engineering (PACE) team, built FleetGPT, an agentic AI solution on Amazon Bedrock that turns fleet IoT data into real-time safety interventions through natural language querying, automated investigation, and AI-powered driver voice calls, cutting road-behavior violations by 46% and drowsiness alerts by 55%.

DeepL runs a multi-Region hybrid network across multiple AWS Regions and AWS Direct Connect locations. See how DeepL drains a single Direct Connect link for planned maintenance without packet loss or cross-Region rerouting, using AWS Cloud WAN and an on-premises AS_PATH prepend so every other Region keeps its closest-exit routing.

See how Cognizant and AWS Professional Services transformed the OrderServ food-ordering platform into a multi-tenant SaaS offering on shared Amazon ECS, cutting compute costs up to 64%, reducing scaling time from minutes to seconds, and lowering authentication costs by 80%.

Learn how TUI, the world’s leading tourism group, built an AI-powered threat modeling system on Amazon Bedrock and Amazon Bedrock AgentCore to scale security assessments across more than 100 product teams, cutting threat modeling time by up to 70% while applying security standards consistently.

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.