Open-source alternatives to Cmd Stream Go

Simplified distributed locking implementation using Redis

Build Your Own Kafka

Consistent is a Go library that implements consistent hashing with bounded loads to distribute data keys across nodes in a distributed system. It provides a mechanism for mapping keys to cluster members that minimizes data movement during membership changes while preventing performance hotspots. The library distinguishes itself by enforcing strict capacity limits on individual nodes, ensuring that no single member becomes overwhelmed by excessive key assignments. It supports virtual node mapping to distribute physical capacity across the hash ring, allowing for granular control over load bala

Distributed batch data processing framework

🌧 BitTorrent client and library in Go

Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly.

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.

Kitex is a high-performance remote procedure call framework for building distributed microservices in Go. It provides a communication system compatible with gRPC and Protobuf standards and includes a suite of tools for microservices governance. The framework features proxyless service mesh integration, which allows it to manage network traffic and governance directly without adding sidecar proxy latency. It optimizes data throughput through a high-performance communication library that minimizes memory copies. The system covers a broad surface of distributed capabilities, including service d

etcd is a distributed key-value store and configuration store designed to maintain a consistent set of data across a cluster of nodes. It functions as a reliable registry for storing and synchronizing critical settings and metadata used by distributed applications. The system implements the Raft consensus algorithm to ensure data consistency and leader election across servers. To protect data transfers and verify node identities, it utilizes a network security layer based on mutual TLS and client certificates. Its capabilities cover distributed configuration management, cluster state synchro

Compute cluster (HPC) job submission library for Go (#golang) based on the open DRMAA standard.

go-jump: Jump consistent hashing

ecommerce microservice

distributed data sync with operational transformation/transforms

Delivers efficient, stable, and secure data distribution and acceleration powered by P2P technology, with an optional content‑addressable filesystem that accelerates OCI container launch.

Delivers efficient, stable, and secure data distribution and acceleration powered by P2P technology, with an optional content‑addressable filesystem that accelerates OCI container launch.

A revamped Google's jump consistent hash

High performance, distributed and low latency publish-subscribe platform.

Raft library for maintaining a replicated state machine

distributed system stress and load testing tool

A Go distributed systems development framework

A powerful and easy-to-use Go development framework that enables you to effortlessly build stable, reliable, and high-performance backend services with a "low-code" approach.

🦅 A Go framework for the API or Microservice

OpenTelemetry Compile-Time Instrumentation for Golang