Scaling the data storage layer in system design
Explores three fundamental approaches to scaling database systems: replication using leader-follower topology to increase read capacity, partitioning to handle both read and write operations across multiple machines, and NoSQL databases designed for horizontal scalability. Covers the trade-offs of synchronous vs asynchronous replication, the complexity of implementing partitioning in relational databases, and how NoSQL systems sacrifice features like joins and strong consistency for availability and scale. Emphasizes that NoSQL requires more upfront data modeling than relational databases despite common misconceptions about flexibility.
