This document summarizes techniques for scaling MongoDB deployments, including: - Single server read/write scaling using techniques like denormalization, indexing, and restricting fields - Scaling reads using master-slave replication and replica sets for improved availability and read scaling - Scaling reads and writes using sharding to partition data across multiple servers and distribute load