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A curated, continuously updated reading list of articles, case studies, and talks from engineers at companies like Netflix, Uber, Facebook, and Amazon, showing concrete patterns for building scalable, reliable, and performant large-scale systems.
A curated, continuously updated reading list of articles, case studies, and talks from engineers at companies like Netflix, Uber, Facebook, and Amazon, showing concrete patterns for building scalable, reliable, and performant large-scale systems.Is this a tutorial or just a list of links?It is purely a curated index of external articles and talks grouped by topic (Principle, Scalability, Availability, Stability, Performance, Intelligence, Architecture, Interview, Organization, Talk, Book) - there is no original tutorial content, just pointers to real engineering write-ups.
It is purely a curated index of external articles and talks grouped by topic (Principle, Scalability, Availability, Stability, Performance, Intelligence, Architecture, Interview, Organization, Talk, Book) - there is no original tutorial content, just pointers to real engineering write-ups.Where should I start reading?There is no required order - jump to the section that matches your current problem: 'Principle' for core concepts, 'Scalability'/'Performance'/'Availability' for specific issues, or 'Interview' if you're preparing for a system design interview.
There is no required order - jump to the section that matches your current problem: 'Principle' for core concepts, 'Scalability'/'Performance'/'Availability' for specific issues, or 'Interview' if you're preparing for a system design interview.Are the linked articles kept up to date?Entries are community-maintained - if a link goes stale or stops being a good fit, anyone can submit a pull request to fix or remove it, so freshness depends on ongoing community contributions rather than a fixed update schedule.
Entries are community-maintained - if a link goes stale or stops being a good fit, anyone can submit a pull request to fix or remove it, so freshness depends on ongoing community contributions rather than a fixed update schedule.Who is this list meant for?Backend and infrastructure engineers debugging scaling or reliability issues, engineers studying for system design interviews, and tech leads interested in how companies scale both their systems and their teams.
Backend and infrastructure engineers debugging scaling or reliability issues, engineers studying for system design interviews, and tech leads interested in how companies scale both their systems and their teams.What topics does the Intelligence section cover?It targets engineers working with data and machine learning at scale, covering big-data and deep-learning infrastructure patterns rather than general system design.
It targets engineers working with data and machine learning at scale, covering big-data and deep-learning infrastructure patterns rather than general system design.Does it help specifically with system design interview prep?Yes, the Interview section links to interview notes and real-world architecture diagrams from major tech companies, meant to be reviewed before whiteboarding a system design.
Yes, the Interview section links to interview notes and real-world architecture diagrams from major tech companies, meant to be reviewed before whiteboarding a system design.What are similar projects?awesome-design-patterns, awesome-system-design-resources, architect-awesome, system-design-academy, system-design-interview, system-design-primer, from_coder_to_expert, professional-programming
awesome-design-patterns, awesome-system-design-resources, architect-awesome, system-design-academy, system-design-interview, system-design-primer, from_coder_to_expert, professional-programmingWhich topics is it in?system-design-interview, distributed-tracing, scalable, interview-practice, lists, zookeeper, interview-prep, system, scalability, design-patterns, big-data, system-design
system-design-interview, distributed-tracing, scalable, interview-practice, lists, zookeeper, interview-prep, system, scalability, design-patterns, big-data, system-design