Gencloud·Oct 7Consensus without leader election: ORCHID in Grid (Kuramoto phase + quorum)Three nodes, one database, the client sends UPSERT. Two things must hold at once: admit a write only when the cluster is synchronized, and…
Mariana Beilune Abad·Oct 3Democracia das Máquinas: Como o Algoritmo RAFT Mantém a Nuvem Viva Sem Sair no Soco 👑🗳️Uma viagem sem matematiquês pelos bastidores de como Kubernetes e Kafka elegem seus líderes, evitam o caos do split-brain e aposentaram o…
Satvik Saini·Sep 21RAFT: How Distributed Databases Survive Servers Crashing Mid-WriteYour data doesn’t live on one machine. It’s copied across several. How do all the copies stay in sync when servers crash, networks break…
InJavarevisitedbyBehind the Stack·Sep 15Distributed Systems Core Concepts — Part 1How machines coordinate, elect leaders, detect failures, and survive network problems.
Harmeet Singh Bagga·Aug 23Blockchain under the Hood: Cryptography, Distribution, Incentives, and Consensus — Part 4 of 4One of the most fascinating aspects of blockchain is how it brings together ideas from multiple disciplines — computer science, distributed…
Divijaiwanth·Aug 22Understanding Raft: How Distributed Systems Agree When Things Go WrongA practical explanation of consensus, leader election, and log replication the core ideas behind fault-tolerant systems.
InInterviewNoodlebyArslan Ahmad·Aug 11Consensus Algorithms: How Distributed Systems AgreeThe problem, the solutions, and the real systems built on them — everything you need to reason about distributed consensus in a 2026…
Shilp Thapak·Jul 28Learning Distributed Systems: My Experience with MIT 6.5840 — Lab 3AAround a year ago, I decided that I wanted to learn distributed systems from first principles. While working as a software engineer, I had…A response icon1A response icon1
Raunak Agrawal·Jul 27Consensus & Raft: How Distributed Systems Agree Despite FailuresIn the previous article, we looked at leaderless replication.
Abdul Moiz·Jul 27Consensus Algorithm | Raft & Paxos, Explained SimplyIf your service has ever gone down and come back up somewhere else without you doing anything, some algorithm made that decision for you…
