binhnguyennus/awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
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README & documentation
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[](http://awesome-scalability.com/) 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…
Read the full README ↗ · Preview checked 2026-10-30T14:45:54.244Z
Inside the original README — Document outline
- If your system goes slow
- If your system goes down
- If you are having a system design interview
- If you are building your dream team
- Community power
- Content
- Principle
- Scalability
- Availability
- Stability
- Performance
- Intelligence
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the README
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- contribution guidelines
- Lessons from Giant-Scale Services - Eric Brewer, UC Berkeley & Google
- How to Design a Good API & Why it Matters - Joshua Bloch, CMU & Google
- Data Access for Highly-Scalable Solutions: Using SQL, NoSQL, and Polyglot Persistence
- Anti-Caching
- Design for Self-healing
- Design for Scaling Out
- Design for Evolution
- Steady State: Always Put Logs on Separate Disk
- Multi-Clustering: Improving Resiliency and Stability of a Large-scale Monolithic API Service at Link
- Performance Optimization by Tuning Garbage Collection
- Architecture of API Gateway at Uber
Documentation belongs to its respective authors. Reported project/model license: MIT. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
Repository facts
- Owner
- binhnguyennus
- Primary language
- Not reported
- Stars
- 75,255
- Forks
- 7,215
- Open issues + pull requests
- 31
- License
- MIT
- Archived
- No
- Default branch
- master
- Created
- 2017-12-27T03:46:40.000Z
- Last push
- 2026-01-04T03:51:47.000Z
Topics and intended use
Owner-supplied topics: architecture, awesome, awesome-list, backend, big-data, computer-science, design-patterns, devops, distributed-systems, interview, interview-practice, interview-questions, lists, machine-learning, programming, resources, scalability, system, system-design, web-development
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