System Design 101 GitHub Breakdown: Kafka, Storage, Databases, and Scale
ByteByteGoHq/system-design-101 GitHub: https://github.com/ByteByteGoHq/syste...
ByteByteGoHq/system-design-101 is a docs-as-code GitHub repository for learning system design through markdown guides, diagrams, and real architecture case studies. This walkthrough breaks down how the repo uses package.json, pnpm, TypeScript scripts, README generation, GitHub Actions, and continuous documentation workflows to manage a huge educational matrix. It also covers Conway’s law, microservices, latency, fault isolation with Kafka queues, storage types, warehouses, data lakes, lakehouses, B-trees, LSM trees, Figma Postgres scaling, McDonald’s event-driven architecture, and the Creative Commons license limits that matter before reusing the material professionally in interviews, peer reviews, internal learning, or online team study programs at scale safely.
TimeStamps:
0:00 Docs as Code Repository
0:28 TypeScript README Automation
0:56 GitHub Rendering Limits
1:20 LLM Readable Documentation
1:44 System Design Frameworks
2:17 Kafka and Fault Isolation
3:03 Storage Layer Tradeoffs
3:57 Warehouse Lake and Lakehouse
5:02 B Trees LSM Trees and Kafka
6:28 Case Studies License and Governance
📚 docs-as-code architecture 🧩 markdown knowledge matrix ⚙️ TypeScript automation 🤖 LLM-readable repo index 🏗️ Conway’s law 📨 Kafka fault isolation 🗄️ storage systems 📊 warehouse, lake, and lakehouse tradeoffs 🌳 B-trees vs LSM trees ⚖️ Creative Commons usage limits
Use this repo as a high-leverage study map for software architecture interviews, cloud infrastructure planning, and distributed systems strategy. Connect each concept to real operational constraints—latency budgets, storage economics, write amplification, and failure domains. The people who scale faster turn reference material into repeatable decision frameworks for real teams.
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