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A first-principles guide to the single most important trade-off in distributed systems: strong consistency versus eventual consistency. Covers the history and physical motivation, all the vocabulary (linearisability, causal, read-your-writes, session, bounded staleness), the CAP theorem and PACELC extension, architecture components (replicas, leader-follower, leaderless, quorums N/W/R, vector clocks), how strongly and…
A complete, beginner-friendly guide to strong consistency in distributed systems. Covers: what strong consistency really is and its short history, the problem it solves, the shared-notebook analogy, core terminology (consistency, replication, quorum, consensus, linearizability, eventual consistency), the full consistency spectrum from strong to eventual, the six-component architecture behind it, the…
A complete, beginner-friendly guide to the real reason behind the whiteboard in a system design interview. Covers: a short history of the whiteboard round, why words alone fail, what interviewers are secretly evaluating, the core vocabulary (system design, architecture diagram, component, data flow), the anatomy of a great high-level diagram…
A complete, beginner-to-advanced guide to finding the one slow component that limits a whole system: the honey-bottle analogy and why bottleneck hunting separates senior engineers from junior ones; five reasons systems develop bottlenecks over time (traffic growth, data growth, hidden feature work, contested shared resources, hardware limits); precise vocabulary (latency,…
A complete, plain-language guide to single points of failure (SPOF): the village-bridge and one-legged-table analogy, what a SPOF really is (defined by consequence, not probability), a short history from bridge and ship builders through early computer networks, why SPOFs happen at all (starting small, cost pressure, time pressure, invisible growth),…
A plain-language, complete guide to idempotency in distributed systems: what it really is, where the idea comes from, why retries happen at all, how it maps onto HTTP methods and delivery guarantees, how idempotency keys work step by step, other complementary techniques, two fully worked examples (a coffee-shop payment and…
Whenever a computer system is split across many machines, it runs into a moment where it must choose between two good things and can’t have both. This guide unpacks the CAP theorem — what its three letters really stand for, why the trade-off is unavoidable, how CP and AP systems…
Every time you search the web, stream a show, or send a message across the planet, thousands of computers quietly cooperate behind the scenes. A complete guide to distributed systems for software architects: the building blocks, the trade-offs, the CAP theorem, consistency models, real-world examples, and the pitfalls to avoid.