Awesome Scalability

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
Alternatives To Awesome Scalability
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Awesome Scalability51,841
14 days ago16mit
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
3 years ago35apache-2.0Jupyter Notebook
Swift for TensorFlow
Telegram List4,341
18 days ago3
List of telegram groups, channels & bots // Список интересных групп, каналов и ботов телеграма // Список чатов для программистов
6 days ago78mitJulia
Bayesian inference with probabilistic programming.
a month ago161apache-2.0Julia
A general-purpose probabilistic programming system with programmable inference
Lux1,6201a day ago8September 13, 20231mpl-2.0Emacs Lisp
The Lux Programming Language
Stable Diffusion1,596
21 hours ago13gpl-3.0Jupyter Notebook
Stable Diffusion, SDXL, LoRA Training, DreamBooth Training, Automatic1111 Web UI, DeepFake, Deep Fakes, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, RunPod, NoteBooks, ControlNet, TTS, Voice Cloning, AI, AI News, ML, ML News, News, Tech, Tech News, Kohya LoRA, Kandinsky 2, DeepFloyd IF, Midjourney
Gplearn1,441783 months ago7May 03, 202224bsd-3-clausePython
Genetic Programming in Python, with a scikit-learn inspired API
Yt Channels Ds Ai Ml Cs1,084
a year ago
A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.
5 years ago9bsd-3-clauseC++
Parallel ML System - Bosen project
Alternatives To Awesome Scalability
Select To Compare

Alternative Project Comparisons


An updated and organized reading list for illustrating the patterns of scalable, reliable, and performant large-scale systems. Concepts are explained in the articles of prominent engineers and credible references. Case studies are taken from battle-tested systems that serve millions to billions of users.

If your system goes slow

Understand your problems: scalability problem (fast for a single user but slow under heavy load) or performance problem (slow for a single user) by reviewing some design principles and checking how scalability and performance problems are solved at tech companies. The section of intelligence are created for those who work with data and machine learning at big (data) and deep (learning) scale.

If your system goes down

"Even if you lose all one day, you can build all over again if you retain your calm!" - Thuan Pham, former CTO of Uber. So, keep calm and mind the availability and stability matters!

If you are having a system design interview

Look at some interview notes and real-world architectures with completed diagrams to get a comprehensive view before designing your system on whiteboard. You can check some talks of engineers from tech giants to know how they build, scale, and optimize their systems. Good luck!

If you are building your dream team

The goal of scaling team is not growing team size but increasing team output and value. You can find out how tech companies reach that goal in various aspects: hiring, management, organization, culture, and communication in the organization section.

Community power

Contributions are greatly welcome! You may want to take a look at the contribution guidelines. If you see a link here that is no longer maintained or is not a good fit, please submit a pull request!

Many long hours of hard work have gone into this project. If you find it helpful, please share on Facebook, on Twitter, on Weibo, or on your chat groups! Knowledge is power, knowledge shared is power multiplied. Thank you!













Roses are red. Violets are blue. Binh likes sweet. Treat Binh a tiramisu? 🍰

Popular Machine Learning Projects
Popular Programming Projects
Popular Machine Learning Categories
Related Searches

Get A Weekly Email With Trending Projects For These Categories
No Spam. Unsubscribe easily at any time.
Machine Learning
Awesome List
Web Development
Design Pattern
Big Data
Computer Science
Distributed Systems
Interview Questions
Interview Preparation
System Design