Cache Patterns
🔴 P0 — the primary tool for read scaling; multiple patterns with different consistency guarantees
🔴 P0 — the primary tool for read scaling; multiple patterns with different consistency guarantees
🔴 P0 — expected in every system design interview; grounds design decisions in numbers
🔴 P0 — minimises data movement when nodes are added or removed
🔴 P0 — how to split data across multiple databases when one isn’t enough
🔴 P0 — the mathematical foundation for consistency in replicated systems
🔴 P0 — Stripe’s public API is built on this; the implementation of idempotency for APIs
🔴 P0 — the defining characteristic of distributed systems
🔴 P0 — the first design decision that cascades into everything else: scaling, consistency, query performance
🔴 P0 — REST vs gRPC vs GraphQL is a standard interview question
🔴 P0 — critical for payment systems, Stripe’s public API design is built on this