Why Distributed Systems Don’t Break : Consensus Algorithms Explained | System Design | Day - 31 скачать в хорошем качестве

Why Distributed Systems Don’t Break : Consensus Algorithms Explained | System Design | Day - 31

🎥 System Design Must-Know: Consensus, Paxos & Raft Explained How do distributed systems agree on one truth when machines crash, networks delay messages, and leaders fail? In this video, I break down Consensus—the backbone of reliable systems like databases, microservices, and cloud platforms—using simple analogies and real algorithms like Paxos and Raft. ✅ What You’ll Learn Consensus explained with real-world analogies Agreement, Validity, and Termination (core properties) Why consensus is required in distributed databases Paxos roles: Proposer, Acceptor, Learner Raft leader election and log replication How majority voting ensures fault tolerance Real-world system design use cases 🎯 Perfect For Backend Developers System Design Interview Preparation Distributed Systems Beginners Software Engineers working on scalable systems Cloud & Microservices Engineers CS Students learning distributed computing consensus in distributed systems, paxos explained, raft consensus algorithm, system design interview, distributed systems tutorial, leader election, data replication, fault tolerance, crash fault vs byzantine fault, backend system design, scalable systems, microservices architecture, distributed databases, consensus algorithm explained system design playlist -    • System Design   ⌚ TimeStamps 0:00 - intro 1:05 - What is Consenuses? 2:00 - Why we Need Agreement 2:38 - Two Paths: Paxos & Raft 3:21 - Inside Raft 4:06 - When a Leader Fails 5:54 - The Unseen Foundation 🔖 Hashtags #SystemDesign #DistributedSystems #Consensus #Paxos #Raft #BackendEngineering #SoftwareArchitecture #Microservices #CloudComputing #FaultTolerance #SystemDesignInterview #BackendDeveloper #computerscience