Chapter 6 — Data Replication
Purpose
[stub: data-replication]
Metadata
| Author | Amit Singh |
| Scope | system-design |
Local graph
Related notes
Chapter 8 — Distributed Message Queue (Kafka-like)
Partitioning, consumer groups, at-least-once vs. exactly-once.
Chapter 11 — Rate Limiter (Distributed)
Token bucket, leaky bucket, sliding window, Redis-backed global limiter.
Chapter 10 — Stream Processing System (Flink-like)
Watermarks, windowing, stateful operators, exactly-once.
Chapter 12 — Consensus & Leader Election
Raft/Paxos, split-brain prevention, fencing tokens.