Learn how to evaluate and select a consensus strategy that fits your system’s latency, fault model, and operational constraints, with concrete alternatives to the usual suspects.
Exploring how engineering teams can systematically brainstorm and validate architectural patterns to build scalable, resilient distributed systems.
A practical guide to recognizing over-engineering traps in system design, with concrete anti-patterns, architecture strategies, and hard-won lessons from real outages.
Message queues and event streaming are essential building blocks for reliable, scalable communication in modern distributed systems.
A practical tour of nine distributed systems patterns that show up in real production stacks, from leader election to the Saga pattern, with concrete examples from Kafka, Postgres, and large web services.