Scale with awesome-scalability
Creates a list of scalable, reliable, and performant large-scale systems for architecture reference.
Reference architectures like a cloud-based e-commerce platform, data lake designs, or distributed database systems.
Helps you avoid common system design pitfalls and reduces time spent on researching architectures from scratch.
"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."
Pick this up when learning the basics of system design, scalability, and reliability.
Reach for this when designing or refining large-scale systems with complex requirements.
Don't confuse this with a tutorial or a guide β it's a curated list of established architectures and patterns to speed up your design process.
Awesome-scalability provides a curated list of patterns and resources for building scalable, reliable, and performant large-scale systems
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`- β’When designing a new system that needs to handle high traffic or large amounts of data
- β’When troubleshooting performance issues in an existing system
- β’When looking for inspiration or best practices for system architecture
- 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
To find resources on designing a scalable database, search the repository for 'database scalability' or look for the 'Database' section in the README
Topics
Scale with awesome-scalability is a documents-only repository (6 doc files) β something you read, not something you run. There is nothing to install. Last commit 8 months ago, MIT license.
- 1README.mdStart here β what it does and how to install it
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