How Distributed Consensus Overcomes the FLP Impossibility Theorem

This article explores how to build fault‑tolerant distributed systems by formalizing consensus, outlines its core properties, explains the FLP impossibility theorem, and shows how algorithms like Raft sidestep its limits through timing constraints and recovery mechanisms.

ConsensusDistributed SystemsFLP theorem

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How Distributed Consensus Overcomes the FLP Impossibility Theorem

Architects Research Society

Mar 1, 2023 · Fundamentals

Understanding Consistency in Distributed Systems

This article explains the concept of consistency in distributed systems, distinguishes strong and weak (eventual) consistency, outlines typical use cases and challenges, and reviews key protocols such as 2‑Phase Commit, 3‑Phase Commit, Paxos, and Raft, while referencing the FLP and CAP theorems.

2PC3PCCAP theorem

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Understanding Consistency in Distributed Systems