Replicated Key-Value Store with Paxos Consensus

Developed a robust distributed key-value store that implements fundamental distributed systems concepts, progressing through multiple stages of complexity: Started with implementing an exactly-once RPC protocol on top of an asynchronous network, ensuring reliable communication between nodes Enhanced the system with fault-tolerance capabilities through a primary-backup replication protocol Implemented Paxos consensus algorithm to ensure strong consistency across replicas, allowing the system to handle node failures and network partitions gracefully Built comprehensive test suites to verify system behavior under various failure scenarios and message ordering conditions The project demonstrates practical implementation of distributed systems theory, focusing on: Handling asynchronous network communication Managing node failures and recovery Implementing distributed consensus Ensuring data consistency across replicas Building fault-tolerant distributed services This implementation served as a practical exploration of how production-grade distributed storage systems handle reliability and consistency challenges.