AWS Architecture Blog

Category: AWS Well-Architected

Let's Architect

Let’s Architect! Designing Well-Architected systems

Amazon’s CTO Werner Vogels says, “Everything fails, all the time”. This means we should design with failure in mind and assume that something unpredictable could happen. The AWS Well-Architected Framework is designed to help you prepare your workload for failure. It describes key concepts, design principles, and architectural best practices for designing and running workloads […]

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The AWS Well-Architected Custom Lens Lifecycle

Implementing the AWS Well-Architected Custom Lens lifecycle in your organization

In this blog post, we present a lifecycle that helps you build, validate, and improve your own AWS Well-Architected Custom Lens, in order to roll it out across your whole organization. The AWS Well-Architected Custom Lens is a new feature of the AWS Well-Architected Tool that lets you bring your own best practices to complement the existing […]

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Solution components and workflow steps

Use templated answers to perform Well-Architected reviews at scale

For larger customers, performing AWS Well-Architected (AWS WA) Framework reviews often involves a combination of different teams. Coordinating participants from each team in order to perform a review increases the time taken and is expensive. In a large organization, there are often hundreds of AWS accounts where teams can store review documents, which means there […]

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Resilience patterns and trade-offs

Understand resiliency patterns and trade-offs to architect efficiently in the cloud

Architecting workloads to achieve your resiliency targets can be a balancing act. Firms designing for resilience on cloud often need to evaluate multiple factors before they can decide the most optimal architecture for their workloads. Example Corp has multiple applications with varying criticality, and each of their applications have different needs in terms of resiliency, […]

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sustainability icon concept: renewable energy, ecology, environmental protection – vector illustration

Architecting for sustainability: a re:Invent 2021 recap

At AWS re:Invent 2021, we announced the AWS Well-Architected Sustainability Pillar, which marks sustainability as a key pillar of building workloads to best deliver on business need. In session ARC325 – Architecting for Sustainability, Adrian Cockcroft, Steffen Grunwald, and Drew Engelson (Director of Engineering at Starbucks) gave a detailed explanation of what to expect from the […]

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ML lifecycle

Optimize AI/ML workloads for sustainability: Part 3, deployment and monitoring

We’re celebrating Earth Day 2022 from 4/22 through 4/29 with posts that highlight how to build, maintain, and refine your workloads for sustainability. AWS estimates that inference (the process of using a trained machine learning [ML] algorithm to make a prediction) makes up 90 percent of the cost of an ML model. Given with AWS you […]

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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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Figure 1. AWS cross-account CodePipeline for production and non-production workloads

Using DevOps Automation to Deploy Lambda APIs across Accounts and Environments

by Subrahmanyam Madduru – Global Partner Solutions Architect Leader, AWS, Sandipan Chakraborti – Senior AWS Architect, Wipro Limited, Abhishek Gautam – AWS Developer and Solutions Architect, Wipro Limited, Arati Deshmukh – AWS Architect, Infosys As more and more enterprises adopt serverless technologies to deliver their business capabilities in a more agile manner, it is imperative […]

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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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Defense in depth applied to a web application

Insights for CTOs: Part 2 – Enable Good Decisions at Scale with Robust Security

In my role as a Senior Solutions Architect, I have spoken to chief technology officers (CTOs) and executive leadership of large enterprises like big banks, software as a service (SaaS) businesses, mid-sized enterprises, and startups. In this 6-part series, I share insights gained from various CTOs and engineering leaders during their cloud adoption journeys at […]

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