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System Design Academy

repository·main·Indexed 12 days ago

https://github.com/systemdesign42/system-design-academy

An educational repository for mastering system design through five primary tracks: real-world case studies from companies like AWS and Stripe, fundamental technology deep-dives (distributed systems, API networking, and storage), interview preparation frameworks, AI engineering (RAG, LLM design, and AI agents), and foundational software white papers such as Amazon Dynamo and Google Spanner.

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What's inside System Design Academy

  1. Overview of System Design Academy

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    System Design Academy is a structured repository for learning system design through various lenses. It is organized into five primary learning tracks:

    1. System Design Case Study: Analysis of real-world system designs from various companies.
    2. System Design Fundamentals: Deep dives into the core technologies and principles that underpin distributed systems.
    3. System Design Interview: Resources and patterns specifically curated for preparing for system design interviews.
    4. AI Engineering: Content focused on the intersection of AI and system architecture.
    5. Software White Papers: A collection of influential software white papers for advanced study.

  2. Explore System Design Fundamentals and Technologies

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    The System Design Academy provides a curated collection of resources covering fundamental technologies and concepts required for system design. These resources are categorized alphabetically by technology name and cover topics such as:

    • API & Networking: API Gateways, Load Balancers, Reverse Proxies, DNS, HTTPS, HTTP Headers, and Webhooks.
    • Distributed Systems: Consistent Hashing, Gossip Protocols, Service Discovery, Hinted Handoff, and Distributed Systems deep dives.
    • Data & Storage: Bloom Filters, Quotient Filters, Redis use cases, and Database security.
    • Architecture Patterns: Microservices, Micro Frontends, Cell-Based Architecture, Sidecar Pattern, and Modular Monoliths.
    • Infrastructure & Scaling: Docker, Kubernetes, Kafka, CDN, and Rate Limiting strategies.
    • Frontend & Mobile: Frontend system design concepts and Mobile system design concepts.

  3. Explore AI Engineering resources

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    The System Design Academy provides a curated collection of deep-dive resources for AI Engineering, categorized by specific technical domains. Key areas of study include:

    • AI Agents: Understanding how agents work, designing custom agents, agentic design patterns, and multi-agent architectures.
    • Context & Prompt Engineering: Exploring context engineering vs. prompt engineering and AI coding workflows.
    • LLM & Model Design: Learning about LLM concepts, fine-tuning small language models (Vertical Small LLM), and LLM evaluation concepts.
    • Architectures & Infrastructure: Deep dives into RAG (Retrieval-Augmented Generation), Vector Databases, MCP (Model Context Protocol), AI Infrastructure, and Graph-Shaped Memory for agents.
    • Specialized Systems: Designing GenAI systems from scratch, Knowledge Q&A systems, and AI Research Agents using MCP.

  4. Prepare for System Design Interviews

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    The repository contains structured guidance and case studies for navigating system design and behavioral interviews.

    Interview Frameworks

    Case Study Practice

    Practice designing large-scale systems using these specific examples:

    • Consumer Apps: Airbnb, ChatGPT, Spotify, WhatsApp, and YouTube.
    • Infrastructure/Services: Amazon S3, Web Crawlers, and Search Engines.
    • Frontend Deep Dives: Twitter/X Timeline.

  5. Explore Software White Papers

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    The repository includes links to foundational software architecture white papers for studying large-scale distributed systems:

    • Amazon Dynamo: Architecture of the Dynamo distributed storage system.
    • Google Spanner: Architecture of the globally distributed database.
    • Meta Serverless Architecture (XFaaS): Insights into Meta's serverless implementation.

  6. Explore System Design Case Studies by Company

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    The System Design Academy provides a curated collection of real-world case studies detailing how major technology companies architect, scale, and maintain their systems. These studies cover various domains including real-time communication, distributed databases, microservices, and high-availability infrastructure.

    Key topics available through these case studies include:

    • Real-time Systems: Leaderboards, live comments, presence platforms, and real-time collaboration (e.g., Canva, Discord).
    • Scalability & Infrastructure: Scaling to millions of users (AWS, GCP, Instagram), database sharding (Quora), and load balancing (Facebook).
    • Cloud Services: Deep dives into Amazon S3 (durability, consistency, architecture), AWS Lambda, and S3 architecture.
    • Distributed Patterns: Saga design patterns (Halo), Actor models (PayPal), and Idempotent APIs (Stripe).
    • Data Management: MySQL sharding, Postgres scalability (Cloudflare, Figma), and database migration strategies (Tumblr).
    • Communication Protocols: HTTP streaming (Airbnb), Protocol Buffers (LinkedIn), and RSocket (Canva).
    • High-Availability & Resilience: Chaos engineering (Netflix), cache consistency (Meta), and rate limiting (Stripe).

    Users can browse these studies categorized alphabetically by company name to understand specific engineering decisions made by industry leaders.