Category: AWS Well-Architected

When you deploy Eclipse Dataspace Components (EDC) connectors on AWS, one of the first challenges you face is predicting and controlling the cost of the required infrastructure. Without clear benchmarks, it is difficult to make informed decisions about workload sizing, environment configuration, and long-term investment. Part 1 of this 3-part blog series covered the fundamentals […]

Running Eclipse Dataspace Components (EDC) connectors in production on AWS requires deliberate architecture decisions around isolation, managed services, and security layering. In Part 1 of this series, we covered the fundamentals of data space architectures and EDC per the International Data Space Association’s (IDSA) standards. If you are new to EDC, we recommend starting there. […]

The Snowflake and AWS Custom Well-Architected Framework Lens brings together AWS Well-Architected best practices and Snowflake guidance into a single review experience, with integrated recommendations that reflect how the two services compose in production. In this post, we walk through each pillar, the three access points (AWS Management Console, Kiro, and Snowflake Cortex Code), and how to run your first review.

In this post, we look at how Generali is using Amazon EKS Auto Mode and its integration with other AWS services to enhance performance while reducing operational overhead, optimizing costs, and enhancing security.

In this post, we discuss how following the AWS Cloud Adoption Framework (AWS CAF) and AWS Well-Architected Framework can help reduce these risks through proper implementation of AWS guidance and best practices while taking into consideration the practical challenges organizations face in implementing these best practices, including resource constraints, evaluating trade-offs and competing business priorities.

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.

We are delighted to announce an update to the AWS Well-Architected Generative AI Lens. This update features several new sections of the Well-Architected Generative AI Lens, including new best practices, advanced scenario guidance, and improved preambles on responsible AI, data architecture, and agentic workflows.

We are excited to announce the updated AWS Well-Architected Machine Learning Lens, now enhanced with the latest capabilities and best practices for building machine learning (ML) workloads on AWS.

Are you ready to maximize your Well-Architected and Cloud Optimization learning and networking time at re:Invent 2025? We have put together this comprehensive guide to help you plan your schedule and make the most of the Well-Architected and cloud optimization sessions available this year. These sessions will deliver the practical guidance your teams need to lead strategic cloud initiatives, design next-generation architectures, optimize costs, or secure AI-powered systems.

Generative AI agents in production environments demand resilience strategies that go beyond traditional software patterns. AI agents make autonomous decisions, consume substantial computational resources, and interact with external systems in unpredictable ways. These characteristics create failure modes that conventional resilience approaches might not address. This post presents a framework for AI agent resilience risk analysis […]