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Chapter 31 References

Books

  • Martin Kleppmann, Designing Data-Intensive Applications, O’Reilly Media, chapters on stream processing, replication, and consistency.
  • Justin Sheffield, Learning Apache Flink, O’Reilly Media, foundations of stateful stream processing.
  • Thomas Hunter, Redis in Action, Manning Publications, Redis data structures and distributed deployment patterns.
  • Ian Millington, Game Physics Engine Development, CRC Press, deterministic simulation concepts relevant to game-server state.
  • Gernot Lankes, Game Physics Engine Development, 2nd Edition, CRC Press, simulation and real-time system design.

Websites

  • Apache Kafka — durable event logs, consumer groups, delivery semantics, and stream-processing documentation.
  • Apache Flink — stateful stream processing, windows, watermarks, and checkpointing documentation.
  • Redis sorted sets — sorted-set commands and ranking primitives.
  • Redis Streams — Redis event-stream data type and consumer groups.
  • Microsoft Orleans — distributed virtual actors and state synchronization patterns.
  • CloudEvents — event metadata interoperability specification.
  • OpenTelemetry — traces, metrics, and logs for event and game-system observability.