How AWS S3 is built

The podcast provides an in-depth look at the scale, engineering, and evolution of AWS S3, highlighting its position as the world's largest cloud storage service. It processes over a quadrillion requests annually, stores hundreds of exabytes of data, and manages more than 500 trillion objects. The discussion covers S3's foundational design based on eventual consistency, its shift toward strong consistency, and the use of formal methods to ensure correctness and reliability.

The podcast also examines S3's expanding role in data lakes and big data applications, including its growing support for structured and vector data formats such as Parquet, Iceberg, and S3 Vectors. Engineering challenges like crash consistency, failure allowances, and replication strategies are explored in detail. Innovations such as S3 tables, intelligent tiering, and cost management features are highlighted as key advancements. The overall focus is on S3's ability to evolve and adapt, supporting new data formats, integrating with AI and analytics workflows, and maintaining high availability, durability, and performance at scale.