dynamolock
raft
| dynamolock | raft | |
|---|---|---|
| 1 | 7 | |
| 128 | 7,860 | |
| 1.6% | 0.9% | |
| 9.3 | 6.0 | |
| 27 days ago | 6 days ago | |
| Go | Go | |
| Apache License 2.0 | Mozilla Public License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dynamolock
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simple distributed locking around dynamodb
https://github.com/cirello-io/dynamolock (check V2 folder)
raft
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Leader election library
Depending on your exact needs, you could try HashiCorp's Raft implementation: https://github.com/hashicorp/raft
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Implementing a distributed key-value store on top of implementing Raft in Go
I have found the performance tests very tricky to get to pass without having any input from others. The assignment is really very unforgiving, I would wager the test suite is comparable to how commercial Raft implementations are tested (e.g. https://github.com/hashicorp/raft)
- Raft Is So Fetch: The Raft Consensus Algorithm Explained Through Mean Girls
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Concurrency in Go is hard
While searching on GitHub, I found a pull request in the Raft implementation by Hashicorp (a distributed consensus algorithm), which we can use to demonstrate the following problem. Let’s start by showing the code (at api.go):
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Looking for a TypeScript Implementation of Raft
Hey,
you could inspire yourself by hashicorps raft implementation written in go and build one for typescript. Code is quite good to read and Go ins't that far away from typescript.
https://github.com/hashicorp/raft
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rqlite, the light distributed database built with Go and SQLite, v7.2 now with autoclustering via DNS and DNS SRV
Production-grade distributed consensus system.
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Raft Consensus Protocol
In general Hashicorp's repos are high quality:
https://github.com/hashicorp/raft
Example application: https://github.com/Jille/raft-grpc-example
What are some alternatives?
emitter-io - High performance, distributed and low latency publish-subscribe platform.
serf - Service orchestration and management tool.
Dkron - Dkron - Distributed, fault tolerant job scheduling system https://dkron.io
tendermint - ⟁ Tendermint Core (BFT Consensus) in Go
glow - Glow is an easy-to-use distributed computation system written in Go, similar to Hadoop Map Reduce, Spark, Flink, Storm, etc. I am also working on another similar pure Go system, https://github.com/chrislusf/gleam , which is more flexible and more performant.
torrent - Full-featured BitTorrent client package and utilities
ringpop-go - Scalable, fault-tolerant application-layer sharding for Go applications
etcd - Distributed reliable key-value store for the most critical data of a distributed system [Moved to: https://github.com/etcd-io/etcd]
DHT - BitTorrent DHT Protocol && DHT Spider.
dragonboat - A feature complete and high performance multi-group Raft library in Go.
gleam - Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly.