AWS Architecture Blog
Category: Customer Solutions
How a global payment processor preserved AWS RAM shares and Lake Formation permissions during an AWS Organizations migration
When AWS accounts move between organizations, organization-bound AWS RAM resource shares break and control-plane access is lost. Learn how a global payment processor used temporary bridge shares to preserve AWS Lake Formation permissions across a 382-account AWS Organizations migration, then restored the original shares as the durable source of truth.
How AgentFlo built AI sales agents with Amazon Bedrock AgentCore – Part 2
Part 2: how AgentFlo built trusted, reliable AI sales agents on Amazon Bedrock AgentCore and AWS serverless architecture. Learn the three-layer guardrails, grounded data foundation, and end-to-end observability behind a +12% net revenue uplift, plus what’s next for real-time voice and server-side tool execution.
How AgentFlo built AI sales agents with Amazon Bedrock AgentCore – Part 1
Learn how AgentFlo built always-on AI sales agents on Amazon Bedrock AgentCore and the Strands Agents SDK. Part 1 covers three pillars of production-grade agents—velocity, standardization, and scalability—including recipe-based deployment, tool routing through AgentCore Gateway, and elastic, stateful commerce conversations.
How Clario technology detects PHI/PII in DICOM images using Amazon Bedrock
Clario, part of Thermo Fisher Scientific, uses Amazon Bedrock and Amazon Textract to automatically detect protected health information (PHI) and personally identifiable information (PII) across thousands of DICOM image slices in clinical trials, covering both metadata tags and text burned into the image pixels.
Serverless vehicle tracking at scale: Bosch L.OS on AWS
Learn how Bosch Mobility Platform Solutions built L.OS, a serverless vehicle tracking platform on AWS that unifies India’s fragmented spot logistics market into a single real-time visibility layer using Amazon ECS, AWS Lambda, and Amazon MSK.
Adobe Firefly: Simplified observability with Amazon Managed Prometheus
Learn how Adobe Firefly achieved 28x faster GPU metric queries by migrating from self-managed Prometheus to Amazon Managed Service for Prometheus, with improvements in query performance, infrastructure reliability, and operational efficiency.
Building a serverless AI assistant at Pelago: concept to care in two weeks
Healthcare organizations face a critical scaling challenge – how to maintain deeply personalized patient interactions as member bases grow, without overwhelming care teams or compromising quality. At Pelago, a digital health company specializing in substance use disorder support, the engineering team found a way to build an AI-powered solution to address this challenge using AWS […]
Prioritize your AWS Health alerts using AWS User Notifications
If you run critical workloads on AWS, such as a contact center on Amazon Connect Customer, database workloads on Amazon Relational Database Service (Amazon RDS), or hybrid connectivity through AWS Direct Connect, service health events demand your attention. But not all events are equal. An operational issue, a scheduled maintenance window, and a deprecation notice […]
Unlocking the future of video data: March Networks cloud storage on AWS
Enterprise video surveillance is operating at an unprecedented scale as organizations across retail, banking, quick-service restaurants (QSR), convenience stores, and transportation networks generate petabytes of video data across thousands of distributed locations. As retention requirements grow and organizations seek to extract more operational insights from video, traditional on-premise storage models are becoming increasingly difficult and […]
Lessons learned from scaling to 1 million Lambda functions
In this post, we share our journey and the lessons learned from building and running a fully serverless, multi-account software as a service (SaaS) platform at scale. We’ll explore why true scale-to-zero is critical, how we handle quota management, why engaging AWS service teams early saved us from outages, and which unexpected practices emerged once we scaled from thousands to over a million functions.









