automat
raft
| automat | raft | |
|---|---|---|
| 2 | 7 | |
| 552 | 7,860 | |
| - | 0.9% | |
| 1.8 | 6.0 | |
| 4 months ago | 5 days ago | |
| Python | Go | |
| MIT License | 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.
automat
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Implementing a distributed key-value store on top of implementing Raft in Go
Sounds like a job for state machines like you can build out with a library like xstate[0] (though I'm sure there are similar libraries in whatever language you choose. Python has one called automat[1])
These exist to formalize state logic, you can even produce diagrams based on their definitions
[0]: https://stately.ai/docs/xstate
[1]: https://github.com/glyph/Automat
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How to deal with not fully initialized objects?
https://github.com/glyph/automat (it's a specific library, but the readme explains FSMs well)
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?
serf - Service orchestration and management tool.
tendermint - ⟁ Tendermint Core (BFT Consensus) in Go
torrent - Full-featured BitTorrent client package and utilities
etcd - Distributed reliable key-value store for the most critical data of a distributed system [Moved to: https://github.com/etcd-io/etcd]
dragonboat - A feature complete and high performance multi-group Raft library in Go.
DHT - BitTorrent DHT Protocol && DHT Spider.
ringpop-go - Scalable, fault-tolerant application-layer sharding for Go applications
grpc-go - The Go language implementation of gRPC. HTTP/2 based RPC
raft-grpc-example - Example code for how to get hashicorp/raft running with gRPC
Olric - Distributed in-memory object store. It can be used as an embedded Go library and a language-independent service.
go-health - Library for enabling asynchronous health checks in your service
redis-lock - Simplified distributed locking implementation using Redis