AWS Architecture Blog

We are delighted to introduce the new AWS Well-Architected Generative AI Lens. Use the lens to make sure that your generative AI workloads are architected with operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability in mind.

In this post, we identify the components of an efficient architecture review process, define what an ARB is, and describe how to build and operate an effective enterprise ARB.

In this post, we share how UNiDAYS achieved AWS Region expansion in just 3 weeks using AWS services.

The new Well-Architected Data Residency with Hybrid Cloud Services Lens is available now. Use the lens whitepaper to adopt your hybrid cloud workloads according to the tenants of the Well-Architected Framework while maintaining data sovereignty requirements.

In this post, we walk you step-by-step through dacadoo’s journey of embracing managed services, highlighting their architectural decisions as we go.

In this post, you’ll learn how to implement Architecture Decision Records (ADRs) in your organization, based on best practices developed from experience with over 200 ADRs across multiple projects. You’ll also discover practical tips for streamlining architectural decision-making, see real-world examples from projects with teams ranging from 10 to over 100 members, and understand the common challenges in architecture decision-making and how ADRs can help address them.

In this post, we explore an intermediate strategy between the pilot light and the warm standby strategies: pilot light with reserved capacity. You can use this strategy to reserve compute capacity in a secondary Region while also limiting cost.

This blog post shows how you can use HAQM API Gateway—along with AWS Lambda, HAQM DynamoDB, and other AWS services—to create a comprehensive and customizable APIM solution. This solution addresses the complex requirements of large enterprises managing APIs at scale.

This blog post will show you how to use the power of ML to build a fraud-detection model using HAQM SageMaker Canvas, a no-code/low-code ML service that business analysts and domain experts can use to build, train, and deploy ML models without requiring extensive ML expertise.

In this post, we share how WellRight optimized the cost and performance of their application through a ground-up modernization to an event-driven architecture.