Chapter 13:Well-Architected Machine Learning with Amazon SageMaker
When running workloads in the cloud, you want to make sure that the workload is architected correctly to take advantage of all that the cloud can offer. AWS Well-Architected Framework helps you with this, by providing a formal approach for learning best practices across five critical pillars applicable to any workload deployed to AWS. The pillars are operational excellence, security, reliability, performance efficiency, and cost optimization.
The framework provides guidance on how to improve your architecture and make trade-offs between the pillars both during the initial development and continued updates of the workload. While you can use Well-Architected Framework to evaluate your workload from a general technology perspective, while building machine learning (ML) applications, it would be great to have focused guidance across the five pillars specific to ML. AWS Machine Learning Lens provides this focused guidance...
