API Design for High-Throughput Systems: Rate Limiting, Versioning, Idempotency

Distributed systems rely on consensus protocols like Paxos and Raft to ensure nodes agree on values despite failures. High-throughput API design requires rate limiting, versioning, and idempotency to manage traffic spikes and prevent duplicate operations, such as double payments. API design also imprints philosophical values through choices like mutability versus immutability. Together, these technical patterns address network instability and scalability challenges, ensuring system reliability and shaping how developers interact with complex software interfaces.