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The Wayback Machine - https://web.archive.org/web/20221011085323/https://github.com/topics/scalability
Here are
428 public repositories
matching this topic...
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
A collection of learning resources for curious software engineers
Updated
Oct 2, 2022
Python
TDengine is an open source, high-performance, cloud native time-series database optimized for Internet of Things (IoT), Connected Cars, Industrial IoT and DevOps.
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
Learn how to design systems at scale and prepare for system design interviews
A curated list of Site Reliability and Production Engineering resources.
These are the best resources for System Design on the Internet
A distributed, fast open-source graph database featuring horizontal scalability and high availability
Preparation links and resources for system design questions
VictoriaMetrics: fast, cost-effective monitoring solution and time series database
Scalable real-time messaging server in a language-agnostic way. Set up once and forever.
Open-source distributed computation and storage platform
Updated
Oct 11, 2022
Java
DDD/Clean Architecture inspired boilerplate for Node web APIs
Updated
Aug 25, 2022
TypeScript
🚀 Create, maintain, and interact with Xcode projects at scale
Updated
Oct 10, 2022
Swift
Framework for Evolutionary Event-Driven Microservices on the JVM
Updated
Oct 11, 2022
Java
A Node.js library for building zero-configuration microservices.
Updated
Aug 16, 2021
JavaScript
MooseFS – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System (Software-Defined Storage)
A system design tool that allows you to simulate data flow of distributed systems.
Updated
Oct 2, 2021
TypeScript
rust stackful coroutine library
Updated
Sep 14, 2022
Rust
Shadow is a discrete-event network simulator that directly executes real application code, enabling you to simulate distributed systems with thousands of network-connected processes in realistic and scalable private network experiments using your laptop, desktop, or server running Linux.
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