AWS Architecture Blog

Category: AWS Well-Architected

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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Multi-Region security, identity, and compliance services

Creating a Multi-Region Application with AWS Services – Part 1, Compute, Networking, and Security

Many AWS services have features to help you build and manage a multi-Region architecture, but identifying those capabilities across 200+ services can be overwhelming. In this 3-part blog series, we filter through those 200+ services and focus on those that have specific features to assist you in building multi-Region applications. In Part 1, we’ll build […]

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Resilience Hub assessment of the multi-AZ architecture after incorporating data backup features

Building Resilient Well-Architected Workloads Using AWS Resilience Hub

AWS Resilience Hub is a new service that helps you understand and improve the resiliency of your workloads using AWS Well-Architected best practices. As the lead for the Reliability Pillar of AWS Well-Architected, I am eager to share with you how you can use Resilience Hub to ensure your workload architecture is as reliable as […]

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Figure 1. Well-Architected Machine Learning Lifecycle

Introducing the new AWS Well-Architected Machine Learning Lens

The AWS Well-Architected Framework provides you with a formal approach to compare your workloads against best practices. It also includes guidance on how to make improvements. Machine learning (ML) algorithms discover and learn patterns in data, and construct mathematical models to predict future data. These solutions can revolutionize lives through better diagnoses of diseases, environmental […]

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Top 5

Top 5: Featured Architecture Content for September

The AWS Architecture Center provides new and notable reference architecture diagrams, vetted architecture solutions, AWS Well-Architected best practices, whitepapers, and more. This blog post features some of our best picks from the new and newly updated content we released in the past month. 1. AWS Best Practices for DDoS Resiliency Prioritizing the availability and responsiveness […]

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