How Everyday Essentials Built a Real-Time Recommendation Engine on AWS
Discover how the Everyday Essentials team scaled their recommendation system from batch processing to real-time using Amazon MWAA for workflow orchestration, Amazon SageMaker for ML training and vector search, AWS Lake Formation for secure data governance, and Amazon MemoryDB for instant personalization. This deep dive covers the architecture decisions and services that power modern recommendation pipelines.