raft
raft
raft | raft | |
---|---|---|
4 | 7 | |
532 | 7,860 | |
6.2% | 0.9% | |
8.8 | 6.0 | |
17 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.
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raft
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On Implementation of Distributed Protocols
etcd Raft — a library for maintaining replicated state machines (written in Go);
- Leader election library
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Implementing a distributed key-value store on top of implementing Raft in Go
Have you seen this implementation? https://github.com/etcd-io/raft. I’ve used this as a starting point for our consensus with various services.
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"In HPA, multiple pods may perform duplicate operations and cause data inconsistency?"
This is usual in parallel and distributed systems. For k8s, I recommend you either use Apache Zookeeper to coordinate “logical locks” for operations across pods or use the RAFT consensus protocol for scenarios where you need coordination amongst pods. For context, k8s itself uses the RAFT consensus protocol for etcd; see https://github.com/etcd-io/raft
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?
rqlite - The lightweight, distributed relational database built on SQLite.
serf - Service orchestration and management tool.
etcd - Distributed reliable key-value store for the most critical data of a distributed system
tendermint - ⟁ Tendermint Core (BFT Consensus) in Go
Atomix - A Kubernetes toolkit for building distributed applications using cloud native principles
torrent - Full-featured BitTorrent client package and utilities
dragonboat - A feature complete and high performance multi-group Raft library in Go.
etcd - Distributed reliable key-value store for the most critical data of a distributed system [Moved to: https://github.com/etcd-io/etcd]
rawkv - Cloud-native distributed key-value database.
DHT - BitTorrent DHT Protocol && DHT Spider.