How Replicated Log Works in Distributed Systems
Learn how the Replicated Log pattern keeps distributed systems in sync. Complete guide with real-world examples from Raft, Kafka, etcd,...
Consensus algorithms, replication protocols, and failure detection patterns that power systems like Kafka, Cassandra, and DynamoDB. Each article breaks down one building block of distributed computing with diagrams, code, and real-world examples of where these patterns show up in production.
8 articles and countingLearn how the Replicated Log pattern keeps distributed systems in sync. Complete guide with real-world examples from Raft, Kafka, etcd,...
What is gossip protocol? Learn how gossip dissemination works in distributed systems with real examples from Cassandra, Consul, and DynamoDB....
Learn Majority Quorum: the consensus pattern behind Cassandra, etcd, and ZooKeeper. Master the W+R>N formula, fault tolerance, and split-brain prevention....
What is 2 phase commit? Complete guide to the two phase commit protocol (2PC) for distributed transactions. Learn how the...
Learn how heartbeat mechanisms detect failures in distributed systems. Master failure detection patterns with real-world examples from Kubernetes, Cassandra, HAProxy,...
Deep dive into Apache Kafka architecture - understand topics, partitions, consumer groups, and how Kafka achieves high throughput and fault...
Learn how Paxos algorithm achieves consensus in distributed systems. Complete guide with real-world examples, diagrams, and practical implementations covering Google...
Learn how Write-Ahead Log (WAL) prevents data loss in distributed systems. Complete guide with real-world examples, code samples, and diagrams...