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A comprehensive collection of notes and resources for software engineers on infrastructure, distributed systems, and more.
This repository contains learning materials and translations for the MIT course on Distributed Systems.
A high-performance, open-source, and production-ready DDS middleware for robotics and distributed systems.
go-chassis is a cloud native application framework for Go with a rich ecosystem for building microservices
An enhanced, fault-tolerant HTTP client library for Go developers building robust, scalable distributed systems.
Curated list of resources on testing distributed systems, useful for developers building complex systems
Event-driven infrastructure for building modern cloud and IoT applications using a variety of protocols.
Zenoh is an open-source, geo-distributed data platform that unifies data in motion, data at rest and computations.
A roadmap and resource compilation for learning system design, focused on distributed systems and software architecture.
Curve is a high-performance, cloud-native distributed storage system for block and shared file storage.
A Kubernetes toolkit for building distributed applications using cloud native principles
A blazingly fast and lightweight Actor engine for distributed systems in Go.
NServiceBus is the gold standard for building async .NET microservices on Azure, AWS and on-prem.
A unified interface for distributed computing on Spark, Dask and Ray without any rewrites.
Apache BookKeeper is a scalable, fault tolerant and low latency storage service optimized for append-only workloads.
A distributed systems runtime daemon written in Rust for building scalable, multi-tenant applications.
Proto Actor is a fast, scalable, and distributed actor framework for .NET, Go, and Java/Kotlin applications.
Cloud-native, MySQL-compatible, AI-ready database with Git for Data, vector search, and full-text search capabilities.
A Python library for building scalable, distributed stream processing applications.
A Rust implementation of the Raft consensus algorithm with improvements for distributed systems.
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