Amazon Web Services: AWS
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AWS Prescriptive Guidance

Published by Amazon Web Services: AWS

The document outlines best practices for planning successful MLOps (Machine Learning Operations) on AWS, focusing on key areas such as data management, model training, deployment strategies, and monitoring. It covers essential aspects like ensuring data quality, preventing data leakage, and using feature stores for efficient model training. Deployment strategies such as blue/green, canary, and A/B testing are discussed to ensure smooth model rollouts. Additionally, it highlights the importance of automated monitoring to detect data drifts and maintain model performance in production environments, ensuring long-term operational success.

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