AWS Architecture Blog

Sovereign failover – Design for digital sovereignty using the AWS European Sovereign Cloud

This post explores the architectural patterns, challenges, and best practices for building cross-partition failover, covering network connectivity, authentication, and governance. By understanding these constraints, you can design resilient cloud-native applications that balance regulatory compliance with operational continuity.

Announcing the AWS Digital Sovereignty Well-Architected Lens

As organizations accelerate cloud adoption, meeting digital sovereignty requirements has become essential to build trust with customers and regulators worldwide. The challenge isn’t whether to adopt the cloud—it’s how to do so while meeting sovereignty requirements, using a multidisciplinary approach. Even though requirements vary by geography, organizations commonly address them through technical and operational controls […]

How Salesforce migrated from Cluster Autoscaler to Karpenter across their fleet of 1,000 EKS clusters

This blog post examines how Salesforce, operating one of the world’s largest Kubernetes deployments, successfully migrated from Cluster Autoscaler to Karpenter across their fleet of 1,000 plus Amazon Elastic Kubernetes Service (Amazon EKS) clusters.

Architecting conversational observability for cloud applications

In this post, we walk through building a generative AI–powered troubleshooting assistant for Kubernetes. The goal is to give engineers a faster, self-service way to diagnose and resolve cluster issues, cut down Mean Time to Recovery (MTTR), and reduce the cycles experts spend finding the root cause of issues in complex distributed systems.

How BASF’s Agriculture Solutions drives traceability and climate action by tokenizing cotton value chains using Amazon Managed Blockchain

BASF Agricultural Solutions combines innovative products and digital tools with practical farmer knowledge. This post explores how Amazon Managed Blockchain can drive a positive change in the agricultural industry by tokenizing food and cotton value chains for traceability, climate action, and circularity.

She architects: Bringing unique perspectives to innovative solutions at AWS

Have you ever wondered what it is really like to be a woman in tech at one of the world’s leading cloud companies? Or maybe you are curious about how diverse perspectives drive innovation beyond the buzzwords? Today, we are providing an insider’s perspective on the role of a solutions architect (SA) at Amazon Web Services (AWS). However, this is not a typical corporate success story. We are three women who have navigated challenges, celebrated wins, and found our unique paths in the world of cloud architecture, and we want to share our real stories with you.

Figure 1: Secure Amazon EVS with AWS Network Firewall using centralized inspection architecture

Secure Amazon Elastic VMware Service (Amazon EVS) with AWS Network Firewall

In this post, we demonstrate how to utilize AWS Network Firewall to secure an Amazon EVS environment, using a centralized inspection architecture across an EVS cluster, VPCs, on-premises data centers and the internet. We walk through the implementation steps to deploy this architecture using AWS Network Firewall and AWS Transit Gateway.

Building an AI gateway to Amazon Bedrock with Amazon API Gateway

In this post, we’ll explore a reference architecture that helps enterprises govern their Amazon Bedrock implementations using Amazon API Gateway. This pattern enables key capabilities like authorization controls, usage quotas, and real-time response streaming. We’ll examine the architecture, provide deployment steps, and discuss potential enhancements to help you implement AI governance at scale.

Architecting for AI excellence: AWS launches three Well-Architected Lenses at re:Invent 2025

At re:Invent 2025, we introduce one new lens and two significant updates to the AWS Well-Architected Lenses specifically focused on AI workloads: the Responsible AI Lens, the Machine Learning (ML) Lens, and the Generative AI Lens. Together, these lenses provide comprehensive guidance for organizations at different stages of their AI journey, whether you’re just starting to experiment with machine learning or already deploying complex AI applications at scale.