Olric
raft
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| Olric | raft | |
|---|---|---|
| 28 | 7 | |
| 3,005 | 7,845 | |
| - | 1.5% | |
| 5.7 | 6.0 | |
| 8 days ago | 3 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.
Olric
- Olric: Distributed, embeddable in-memory data structures in Go
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I’m Now a Full-Time Professional Open Source Maintainer
It's Olric: https://github.com/buraksezer/olric. Publicly speaking about the companies may not be a good idea but you can dig into the issues, pull requests, and Discord channel if you are curious.
- Olric v0.5.0 is out! A distributed, in-memory key/value store and cache. It's designed to be distributed from the ground up and can be used both as an embedded Go library and a language-independent service.
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SQLGateway - Access SQL databases over HTTP - Written in Go 💙
A fun addition could be to remove the need for Redis in clustered mode by using something like this: https://github.com/buraksezer/olric
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Hacker News top posts: Nov 27, 2022
Olric: Distributed, embeddable data structures in Go\ (7 comments)
- Olric: Distributed, embeddable data structures in Go
- Redcon - Redis compatible server framework for Rust
- Survey: Who is using Olric?
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?
redis-lock - Simplified distributed locking implementation using Redis
serf - Service orchestration and management tool.
ringpop-go - Scalable, fault-tolerant application-layer sharding for Go applications
tendermint - ⟁ Tendermint Core (BFT Consensus) in Go
resgate - A Realtime API Gateway used with NATS to build REST, real time, and RPC APIs, where all your clients are synchronized seamlessly.
torrent - Full-featured BitTorrent client package and utilities
hprose - Hprose is a cross-language RPC. This project is Hprose for Golang.
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.