We have collection of more than 1 Million open source products ranging from Enterprise product to small libraries in all platforms. We aggregate information from all open source repositories. Search and find the best for your needs. Check out projects section.
raft - Golang implementation of the Raft consensus protocol
- 219
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.
https://github.com/hashicorp/raft| Tags | raft consensus raft-consensus state-machine finite-state-machine fsm |
| Implementation | Go |
| License | Mozilla |
| Platform | Windows MacOS Linux |
Related Projects
hraftd - 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 consensusCopycat - 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 databasebraft - 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-replicationraft - 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-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 raftAtomix - 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-structuresdragonboat - A feature complete and high performance multi-group Raft library in Go.
Dragonboat is a high performance multi-group Raft consensus library in Go with C++11 binding support. Consensus algorithms such as Raft provides fault-tolerance by alllowing a system continue to operate as long as the majority member servers are available. For example, a Raft cluster of 5 servers can make progress even if 2 servers fail. It also appears to clients as a single node with strong data consistency always provided. All running servers can be used to initiate read requests for aggregated read throughput.
raft paxos distributed-systems raft-protocol raft-algorithm consensus replicated-state-machines raft-cpp raft-cxx distributed-storageraft - 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-consensusFinn - 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-tolerantrafter - 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-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-consensusetcd - Distributed reliable key-value store for the most critical data of a distributed system
Note: The master branch may be in an unstable or even broken state during development. Please use releases instead of the master branch in order to get stable binaries. etcd is written in Go and uses the Raft consensus algorithm to manage a highly-available replicated log.
etcd raft distributed-systems kubernetes database key-value consensus distributed-databasego-raft - A Go implementation of the Raft distributed consensus protocol.
A Go implementation of the Raft distributed consensus protocol.
SummitDB - 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 geospatialTendermint - Tendermint Core (BFT Consensus) in Go
Tendermint Core is Byzantine Fault Tolerant (BFT) middleware that takes a state transition machine - written in any programming language - and securely replicates it on many machines.
bft distributed-systems replication consistency db consensus blockchain cryptography state-machine fault-tolerenttikv - 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 tidbraftd - A reference implementation for using the go-raft library for distributed consensus.
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.If you want to see a simple raft key-value store see the etcd/raft example.
PySyncObj - 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-consensusStatefulJ - Event Driven Finite State Machine (FSM)
StatefulJ is a lightweight, open source Java Event Driven Finite State Machine(FSM) and a complete Spring Data based framework which lets you easily define and integrate State Machines into your Applications. It is simple, dependency free, in memory implementation of an FSM with support for concurrency and non-deterministic transitions.
state-machine finite-state-machine fsmdjango-fsm - Django friendly finite state machine support
django-fsm adds simple declarative states management for django models. Instead of adding some state field to a django model, and managing its values by hand, you could use FSMState field and mark model methods with the transition decorator. Your method could contain the side-effects of the state change.
django finite-state-machine fsm state-machine state-machine-diagram
We have large collection of open source products. Follow the tags from
Tag Cloud >>
Open source products are scattered around the web. Please provide information
about the open source projects you own / you use.
Add Projects.
