Data Consistency and Consensus in Distributed Systems | Complete MAANG Interview Guide

master consistency and consensus algorithms to ace your system design interview at google, amazon, meta, apple, netflix, or microsoft. this 14-minute tutorial covers everything from basic consistency models to advanced consensus algorithms like raft and paxos. 🎯 what you'll learn: • why a $10 million banking bug happened due to consistency issues • eventual vs strong consistency vs linearizability • how google docs maintains perfect order across users • why amazon chose availability over consistency (cap theorem) • causality violations that break facebook daily • two-phase commit (2pc) and why it's rarely used today • raft consensus algorithm that powers kubernetes • how to design distributed lock services like zookeeper 💡 perfect for: • software engineers preparing for faang/maang interviews • backend developers learning distributed systems • system design interview preparation • senior engineers and tech leads • anyone building fault-tolerant systems 🔥 key concepts covered: • linearizability and strong consistency • eventual consistency patterns • raft consensus algorithm • paxos algorithm basics • two-phase commit (2pc) • cap theorem (consistency, availability, partition tolerance) • lamport timestamps and causality • total order broadcast • distributed transactions • leader election strategies 📚 algorithms explained: raft | paxos | two-phase commit | lamport timestamps | vector clocks | gossip protocol | quorum consensus | split-brain prevention 🎓 interview preparation: this tutorial covers 40% of distributed systems interview questions. each concept includes real-world examples from google, amazon, facebook, and netflix production systems. 💬 comment below: • your interview date and company • which consensus algorithm you prefer • questions about distributed systems 👍 if this helped you, please like and subscribe for more system design content! 🔔 turn on notifications for weekly uploads #systemdesign #consistency #consensus #maanginterview #raft #distributedsystems #coding #programming #softwaredeveloper #interviewprep #backend #paxos #captheorem #linearizability #kubernetes data consistency, consensus algorithms, raft algorithm, paxos algorithm, distributed systems, system design interview, maang interview, faang interview, linearizability, cap theorem, two phase commit, eventual consistency, strong consistency, software engineering, backend development, distributed databases, kubernetes, etcd, zookeeper, cassandra, google spanner, amazon dynamodb, leader election, split brain problem, quorum, distributed locks, lamport timestamps, causality, total order broadcast, system design tutorial, coding interview, tech interview prep