Awesome GitHub RepositoriesSplit-Brain Prevention Mechanisms

Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis

Acest proiect este o traducere în limba chineză a lucrării de cercetare originale care detaliază protocolul de consens Raft. Servește drept traducere de cercetare tehnică și ghid pentru protocolul de consens, făcând specificațiile algoritmului Raft accesibile vorbitorilor de chineză. Documentația acoperă mecanismele de bază ale sistemelor distribuite, inclusiv alegerea liderului, replicarea jurnalului și protocoalele de siguranță. Oferă o explicație detaliată a modului de menținere a unei singure surse de adevăr pe mai multe servere pentru a obține gestionarea clusterelor cu toleranță la erori. Materialul abordează replicarea mașinii de stare distribuită și gestionarea jurnalelor. Acoperă concepte tehnice precum urmărirea disponibilității bazată pe heartbeat, alegerile cu timeout randomizat, versionarea consistenței bazată pe termeni și compactarea jurnalului bazată pe snapshot-uri.

Ergo is a distributed actor framework for Go that implements the Erlang distribution protocol, enabling the construction of resilient, concurrent applications that can communicate transparently with Erlang/OTP nodes. At its core, it provides an actor model with isolated lightweight processes, priority-ordered mailboxes, and a meta-process architecture that separates blocking I/O from sequential message handling to prevent actor freezing. The framework includes a Raft-inspired cluster consensus system for leader election and automatic failover, along with OTP-style supervision trees that organi

Olric is a distributed data grid and in-memory key-value store that partitions and replicates data across a cluster of servers. It serves as a shared memory system for managing distributed maps, performing atomic operations, and acting as an in-memory data cache. The system provides a distributed locking mechanism for concurrency control and a pub-sub messaging system that broadcasts and routes messages over named channels across the cluster. The platform covers wide-ranging capabilities including cluster management and orchestration, data replication with configurable quorums, and automated