Optimize AI/ML Workloads for Sustainability: Part 3 – Deployment and Monitoring
As we celebrate Earth Day 2022 from April 22 to April 29, we are sharing insights on how to create, maintain, and enhance workloads with sustainability in mind. AWS estimates that inference—the process of applying a trained machine learning (ML) model to generate predictions—accounts for 90% of the costs associated with an ML model. Given that AWS offers a variety of tools and resources, you can optimize your workloads effectively. For more detailed strategies, check out this blog post to keep your insights fresh.
Optimize AI/ML Workloads for Sustainability: Part 2 – Model Development
by Alex Turner, Jamie Smith, Nathan Lee, and Michael Johnson
on 21 MAR 2022
in Architecture, Artificial Intelligence, AWS Well-Architected, Sustainability
As complexity increases, so does energy consumption; machine learning (ML) models are evolving to become larger and more intricate. Although advancements in ML hardware are making them more efficient, the energy required for training these models is rising significantly. This series examines the phases of the Well-Architected machine learning lifecycle to help you enhance your models sustainably.
Using DevOps Automation to Deploy Lambda APIs Across Accounts and Environments
by Emily Adams, Robert Brown, Sarah Green, and David White
on 25 FEB 2022
in Amazon CloudWatch, Architecture, AWS CloudFormation, AWS CodePipeline, AWS Identity and Access Management (IAM), AWS Well-Architected, DevOps, Serverless
As enterprises increasingly adopt serverless technologies for agile business solutions, it becomes crucial to deploy these capabilities effectively. This resource offers great insights into best practices.
Optimize AI/ML Workloads for Sustainability: Part 1 – Identifying Business Goals, Validating ML Use, and Processing Data
by Alex Turner, Jamie Smith, Nathan Lee, and Michael Johnson
on 10 FEB 2022
in Artificial Intelligence, AWS Well-Architected, Sustainability
Training artificial intelligence (AI) and machine learning (ML) workloads demands significant energy—and these workloads are becoming progressively more complex. The Carbontracker study estimates that a single training session for a language model like GPT-3 can generate a notable carbon footprint.
Insights for CTOs: Part 2 – Enable Good Decisions at Scale with Robust Security
by Samuel Harris and Laura Green
on 17 DEC 2021
in Architecture, AWS Well-Architected, Security
As a Senior Solutions Architect, I have engaged with chief technology officers (CTOs) and executive leadership from various large enterprises, including major banks and SaaS companies. In this six-part series, I share valuable insights gleaned from CTOs and engineering leaders during their cloud adoption journeys.
Creating a Multi-Region Application with AWS Services – Part 1, Compute, Networking, and Security
by Chris Wilson and Eric Taylor
on 08 DEC 2021
in Amazon CloudFront, Amazon EC2, Amazon Elastic Block Store (Amazon EBS), Amazon Route 53, Amazon Simple Storage Service (S3), Amazon VPC, Architecture, AWS CloudTrail, AWS Global Accelerator, AWS Identity and Access Management (IAM), AWS Secrets Manager, AWS Security Hub, AWS Transit Gateway, AWS Well-Architected
Many AWS services provide features to aid in building and managing applications across multiple regions, yet identifying these capabilities among 200+ services can be daunting. In this three-part series, we filter through these services to highlight those with specific functionalities to support multi-region applications.
Building Resilient Well-Architected Workloads Using AWS Resilience Hub
by Ethan Clark
on 11 NOV 2021
in Announcements, AWS Resilience Hub (ARH), AWS Well-Architected Framework, Best Practices
AWS Resilience Hub is a newly introduced service designed to help you understand and enhance the resilience of your workloads based on AWS Well-Architected best practices. As the lead for the Reliability Pillar of AWS Well-Architected, I am excited to demonstrate how you can leverage Resilience Hub to ensure your workload architecture is as robust as possible.
Introducing the New AWS Well-Architected Machine Learning Lens
by Chloe Thompson
on 13 OCT 2021
in Amazon Machine Learning, Architecture, AWS Well-Architected Framework
The AWS Well-Architected Framework offers a structured method to evaluate your workloads against best practices while also providing guidance on areas for improvement. Machine learning (ML) algorithms identify patterns in data to construct predictive mathematical models—these solutions have the potential to change lives through improved disease diagnoses and environmental analysis.
Top 5: Featured Architecture Content for September
by Nora Garcia
on 04 OCT 2021
in Amazon Comprehend, Amazon OpenSearch Service, Architecture, AWS Solutions Implementations, AWS Well-Architected, Graviton, Top Posts
The AWS Architecture Center presents a variety of new and noteworthy reference architecture diagrams, vetted architecture solutions, and AWS Well-Architected best practices.
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