Get scalable system designs for reliable and performant large-scale systems. For founders and backend developers.
intermediateโฑ 30 minutes๐ต Free (open-source)
71,473 stars7,013 forksQuality 8/10Updated 6/5/2026100% free ยท open source
What it is
Creates a list of scalable, reliable, and performant large-scale systems for architecture reference.
What you can make with it
Reference architectures like a cloud-based e-commerce platform, data lake designs, or distributed database systems.
How it helps
Helps you avoid common system design pitfalls and reduces time spent on researching architectures from scratch.
Real use case example
"A founder wants to build a new cloud-based platform for their startup. Using these patterns, they quickly create a scalable architecture that can handle millions of users within a week. They start by choosing the right cloud provider, design a load balancer setup, and implement auto-scaling. By following the established patterns, they save weeks of architecture brainstorming and months of potential downtime."
If you're new
Pick this up when learning the basics of system design, scalability, and reliability.
If you're senior
Reach for this when designing or refining large-scale systems with complex requirements.
Common confusion cleared up
Don't confuse this with a tutorial or a guide โ it's a curated list of established architectures and patterns to speed up your design process.
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Pairs with
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Why we list it on WorkflowStacks: Open-source pattern library provides a free resource for system designers and architects to accelerate their work.
What it does
Awesome-scalability provides a curated list of patterns and resources for building scalable, reliable, and performant large-scale systems
Install / run
Since awesome-scalability is a GitHub repository, the first step is to clone the repository using the command `git clone https://github.com/binhnguyennus/awesome-scalability.git`
When to use it
โขWhen designing a new system that needs to handle high traffic or large amounts of data
โขWhen troubleshooting performance issues in an existing system
โขWhen looking for inspiration or best practices for system architecture
Quick start
1Clone the repository using `git clone https://github.com/binhnguyennus/awesome-scalability.git`
2Explore the repository's README file to understand the categorization of the patterns
3Browse through the README's sections, such as 'Design Patterns' or 'System Design Principles', to find relevant information
4Use the repository's links to external resources, such as articles or books, to dive deeper into specific topics
5Search for specific keywords or technologies in the repository to find related patterns or resources
Ready-to-paste prompt
To find resources on designing a scalable database, search the repository for 'database scalability' or look for the 'Database' section in the README
Heads up: Since awesome-scalability is a collection of links and resources, be aware that some links may be outdated or require registration to access, and it's essential to verify the credibility of the resources before using them
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Topics
architecture
awesome
awesome-list
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big-data
computer-science
design-patterns
devops
distributed-systems
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interview-questions
lists
machine-learning
programming
resources
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What's inside โ free to inspect
No purchase needed
Read the entire source before you build โ unlike paid marketplaces that hide it behind a buy button.