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raft - Golang implementation of the Raft consensus protocol
raft is a Go library that manages a replicated log and can be used with an FSM to manage replicated state machines. It is a library for providing consensus.The use cases for such a library are far-reaching as replicated state machines are a key component of many distributed systems. They enable building Consistent, Partition Tolerant (CP) systems, with limited fault tolerance as well.
raft consensus raft-consensus state-machine finite-state-machine fsmpatroni - A template for PostgreSQL High Availability with ZooKeeper, etcd, or Consul
You can find a version of this documentation that is searchable and also easier to navigate at patroni.readthedocs.io.There are many ways to run high availability with PostgreSQL; for a list, see the PostgreSQL Documentation.
postgresql high-availability etcd zookeeper consul raft failover haproxy kubernetesAtomix - Scalable, fault-tolerant distributed systems protocols and primitives for the JVM
Atomix is an event-driven framework for coordinating fault-tolerant distributed systems built on the Raft consensus algorithm. It provides the building blocks that solve many common distributed systems problems including group membership, leader election, distributed concurrency control, partitioning, and replication.
raft consensus consensus-algorithm raft-protocol raft-consensus-algorithm distributed-systems leader-election distributed-lock data-structurestikv - Distributed transactional key value database powered by Rust and Raft
Geo-Replication TiKV uses Raft and Placement Driver to support Geo-Replication.Horizontal scalability With Placement Driver and carefully designed Raft groups, TiKV excels in horizontal scalability and can easily scale to 100+ TBs of data.
distributed-transactions raft key-value tikv consensus rocksdb tidbrqlite - The lightweight, distributed relational database built on SQLite.
rqlite is a distributed relational database, which uses SQLite as its storage engine. rqlite uses Raft to achieve consensus across all the instances of the SQLite databases, ensuring that every change made to the system is made to a quorum of SQLite databases, or none at all. It also gracefully handles leader elections, and tolerates failures of machines, including the leader. rqlite is available for Linux, OSX, and Microsoft Windows.rqlite gives you the functionality of a rock solid, fault-tolerant, replicated relational database, but with very easy installation, deployment, and operation. With it you've got a lightweight and reliable distributed relational data store. Think etcd or Consul, but with relational data modelling also available.
sqlite distributed-systems database relational-database raft consensus distributed-database sqlraft - UNMAINTAINED: A Go implementation of the Raft distributed consensus protocol.
NOTE: This project is unmaintained. If you are using goraft in a project and want to carry the project forward please file an issue with your ideas and intentions. The original project authors have created new raft implementations now used in etcd and InfluxDB.This is a Go implementation of the Raft distributed consensus protocol. Raft is a protocol by which a cluster of nodes can maintain a replicated state machine. The state machine is kept in sync through the use of a replicated log.
raft raft-consensuslogcabin - LogCabin is a distributed storage system built on Raft that provides a small amount of highly replicated, consistent storage
LogCabin is a distributed system that provides a small amount of highly replicated, consistent storage. It is a reliable place for other distributed systems to store their core metadata and is helpful in solving cluster management issues. LogCabin uses the Raft consensus algorithm internally and is actually the very first implementation of Raft. It's released under the ISC license (equivalent to BSD).Information about releases is in RELEASES.md.
raft logcabin raft-consensusbraft - An industrial-grade C++ implementation of RAFT consensus algorithm based on brpc, widely used inside Baidu to build highly-available distributed systems
An industrial-grade C++ implementation of RAFT consensus algorithm and replicated state machine based on brpc. braft is designed and implemented for scenarios demanding for high workload and low overhead of latency, with the consideration for easy-to-understand concepts so that engineers inside Baidu can build their own distributed systems individually and correctly. Build brpc which is the main dependency of braft.
raft-consensus-algorithm raft raft-protocol raft-cpp raft-cxx distributed-storage distributed-consensus state-machine-replicationSummitDB - In-memory NoSQL database with ACID transactions, Raft consensus, and Redis API
SummitDB is an in-memory, NoSQL key/value database. It persists to disk, uses the Raft consensus algorithm, is ACID compliant, and built on a transactional and strongly-consistent model. It supports custom indexes, geospatial data, JSON documents, and user-defined JS scripting.Under the hood it utilizes Finn, Redcon, BuntDB, GJSON, and Otto.
raft json nosql database in-memory geospatialawesome-consensus - Awesome list for Paxos and friends
A curated selection of artisanal consensus algorithms and hand-crafted distributed lock services.
paxos consensus-algorithm raft awesomehraftd - A reference use of Hashicorp's Raft implementation
For background on this project check out this blog post. hraftd is a reference example use of the Hashicorp Raft implementation v1.0. Raft is a distributed consensus protocol, meaning its purpose is to ensure that a set of nodes -- a cluster -- agree on the state of some arbitrary state machine, even when nodes are vulnerable to failure and network partitions. Distributed consensus is a fundamental concept when it comes to building fault-tolerant systems.
distributed-systems raft hashicorp-raft key-value consensustidis - Distributed transactional NoSQL database, Redis protocol compatible using tikv as backend
Tidis is a Distributed NoSQL database, providing a Redis protocol API (string, list, hash, set, sorted set), written in Go. Tidis is like TiDB layer, providing protocol transform and data structure compute, powered by TiKV backend distributed storage which use Raft for data replication and 2PC for distributed transaction.
redis nosql database tikv 2pc raft distributed-nosql-database transaction-storage transaction rocksdbFinn - Fast Raft framework using the Redis protocol for Go
Finn is a fast and simple framework for building Raft implementations in Go. It uses Redcon for the network transport and Hashicorp Raft. There is also the option to use LevelDB, BoltDB or FastLog for log persistence.The reason for this project is to add Raft support to a future release of BuntDB and Tile38.
raft redis raft-consensus leader-election fault-tolerantCopycat - A novel implementation of the Raft consensus algorithm
Copycat is a fault-tolerant state machine replication framework. Built on the Raft consensus algorithm, it handles replication and persistence and enforces strict ordering of inputs and outputs, allowing developers to focus on single-threaded application logic. Its event-driven model allows for efficient client communication with replicated state machines, from simple key-value stores to wait-free locks and leader elections. You supply the state machine and Copycat takes care of the rest, making it easy to build robust, safe distributed systems.
raft distributed-systems consensus raft-consensus-algorithm state-machine consensus-algorithm replication databaseraft - C implementation of the Raft Consensus protocol, BSD licensed
C implementation of the Raft consensus protocol, BSD licensed.See raft.h for full documentation.
raft-consensus-algorithm raft consensus protocol raft-consensusraft.github.io - website at https://raft.github.io
Please contribute to the website by submitting pull requests or creating issues.The website is hosted as a GitHub static page.
raft raft-consensusrafter - An Erlang library application which implements the Raft consensus protocol
Rafter is not production ready. It hasn't been tested or run in any production environments. Furthermore, the log is entirely my own creation. It's possible that it isn't as safe or efficient as many other log structured backends like leveldb or rocksdb. The protocol is solid and well tested, and it works as expected in most cases. However, support is not fully guaranteed as I don't have a current use case for rafter and am not actively developing it. I will however do my best to respond to reports and fix bugs in an efficient manner.Rafter is more than just an erlang implementation of the raft consensus protocol. It aims to take the pain away from building Consistent(2F+1 CP) distributed systems, as well as act as a library for leader election and routing. A main goal is to keep a very small user api that automatically handles the problems of the everyday Erlang distributed systems developer. It is hopefully your libPaxos.dll for erlang.
raft raft-consensusPySyncObj - A library for replicating your python class between multiple servers, based on raft protocol
And thats all! Now you can call incCounter on serverA, and check counter value on serverB - they will be synchronized.You can look at batteries implementation, examples and unit-tests for more use-cases. Also there is an API documentation. Feel free to create proposals and/or pull requests with new batteries, features, etc. Join our gitter chat if you have any questions.
raft raft-protocol distributed-systems fault-tolerance replication raft-consensuscontroller - Mirror of the OpenDaylight controller gerrit project
Mirror of the OpenDaylight controller gerrit project
raft raft-consensusraft-rs - Raft distributed consensus algorithm implemented in Rust.
When building a distributed system one principal goal is often to build in fault-tolerance. That is, if one particular node in a network goes down, or if there is a network partition, the entire cluster does not fall over. The cluster of nodes taking part in a distributed consensus protocol must come to agreement regarding values, and once that decision is reached, that choice is final. Distributed Consensus Algorithms often take the form of a replicated state machine and log. Each state machine accepts inputs from its log, and represents the value(s) to be replicated, for example, a hash table. They allow a collection of machines to work as a coherent group that can survive the failures of some of its members.
distributed-consensus-algorithms distributed-systems raft
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