The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

A collection of learning resources for curious software engineers

Learn how to design systems at scale and prepare for system design interviews

High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios

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 System Design concepts and prepare for interviews using free resources.

These are the best resources for System Design on the Internet

A resource to help you pass system design interview and become good at work 👇

VictoriaMetrics: fast, cost-effective monitoring solution and time series database

A curated list of Site Reliability and Production Engineering resources.

Machine Learning Engineering Open Book

A distributed, fast open-source graph database featuring horizontal scalability and high availability

Preparation links and resources for system design questions

Scalable real-time messaging server in a language-agnostic way. Self-hosted alternative to Pubnub, Pusher, Ably. Set up once and forever.

Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.

Tuist's CLI

Framework for Evolutionary Message-Driven Microservices on the JVM

DDD/Clean Architecture inspired boilerplate for Node web APIs

A Node.js library for building zero-configuration microservices.

It's just fascinating. How is modern software designed? 🤔 Some design-level considerations for scalability, maintainability eventual consistency, availability & reliability. 👨‍💻 Interview Prep. 👨‍💻