AWS Architecture Blog

Tag: AWS Well-Architected Framework

ML lifecycle

Optimize AI/ML workloads for sustainability: Part 2, model development

More complexity often means using more energy, and machine learning (ML) models are becoming bigger and more complex. And though ML hardware is getting more efficient, the energy required to train these ML models is increasing sharply. In this series, we’re following the phases of the Well-Architected machine learning lifecycle (Figure 1) to optimize your […]

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ML lifecycle

Optimize AI/ML workloads for sustainability: Part 1, identify business goals, validate ML use, and process data

Training artificial intelligence (AI) services and machine learning (ML) workloads uses a lot of energy—and they are becoming bigger and more complex. As an example, the Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models study estimates that a single training session for a language model like GPT-3 can have a carbon footprint […]

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Well-Architected FinServ lens

AWS Well-Architected for Financial Services

Cloud is part of the new normal in the financial services industry. Higher customer expectations have raised the stakes, pushing institutions to streamline operations, lower costs, and accelerate innovation. The conversation is no longer about whether to embrace the cloud, but rather, how quickly it can be done. To address the need to provide tailored […]

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Common use cases with different data flows through AWS Serverless services

Liberty IT Adopts Serverless Best Practices Using AWS Cloud Development Kit

This post was co-written with Matthew Coulter, Lead Technical Architect of Global Risk at Liberty Mutual Liberty IT Solutions, part of Liberty Mutual Group, has been using AWS CloudFormation to deploy serverless applications on AWS for the last four years. These deployments typically involve defining, integrating, and monitoring services such as AWS Lambda, Amazon API […]

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AWS Well-Architected

Announcing the New Version of the Well-Architected Framework

“Nothing is constant except for change.” – Unknown We are announcing the availability of a new version of the AWS Well-Architected Framework. We’ve made changes in response to your feedback, as well as to industry trends that are becoming widely adopted. We focused on four themes: removing perceived repetition, adding content areas to explicitly call […]

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AWS Well-Architected

What’s New in the Well-Architected Operational Excellence Pillar?

We recently released an updated version of the Operational Excellence pillar of the AWS Well-Architected Framework, which includes expanded guidance on operating model, and organizational culture, as well as some other refinements. Gerald Weinberg, in his 1985 book, The Secrets of Consulting, defined The Second Law of Consulting as “No matter how it looks at […]

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AWS Well-Architected

What’s New in the Well-Architected Reliability Pillar?

The new version of the Reliability pillar for AWS Well-Architected includes expanded content across all areas of reliability. Guidance on distributed system architecture has been reorganized and expanded, and new best practices have been added as part of the Well-Architected Review. There is a sharper focus on chaos engineering with more explanation and examples. We’ve […]

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AWS Well-Architected

What’s New in the Well-Architected Performance Efficiency Pillar?

We recently published a significant update to the AWS Well-Architected Framework, and as part of that update, the Performance Efficiency Pillar whitepaper has been streamlined and improved. The questions in the whitepaper are now better aligned with those in the AWS Well-Architected Tool, making it easy to cross-reference between them when reviewing workloads. With clearer […]

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ML Lens-Well Architected (1)

Introducing the Well-Architected Framework for Machine Learning

We have published a new whitepaper, Machine Learning Lens, to help you design your machine learning (ML) workloads following cloud best practices. This whitepaper gives you an overview of the iterative phases of ML and introduces you to the ML and artificial intelligence (AI) services available on AWS using scenarios and reference architectures. How often […]

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