seniorAWS Machine Learning
How do you design a scalable AWS ML architecture?
Updated May 5, 2026
Short answer
A scalable AWS ML architecture uses S3, SageMaker, Lambda, and auto-scaling endpoints.
Deep explanation
It includes data ingestion (S3/Kinesis), preprocessing (Glue), training (SageMaker), deployment (endpoints), and monitoring (CloudWatch + Model Monitor).
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