🌐 Distributed Systems

📚 The Absolute Best Book: Designing Data-Intensive Applications

Chapters

1. Reliable, Scalable, and Maintainable Applications
2. Data Models and Query Languages
3. Storage and Retrieval
4. Encoding and Evolution
5. Replication
6. Partitioning
7. Transactions
8. The Trouble with Distributed Systems
9. Consistency and Consensus
10. Batch Processing
11. Stream Processing
12. The Future of Data Systems

📖 Access the full book here

🎓 MIT's Distributed Systems Course

🔗 Watch the full course

📘 High-Quality Resources

• 📑 Dynamo: Amazon's Highly Available Key-value Store
• 🛢 Tabular Comparison of Key Value Stores

💻 Practical Learnings

• ✅ Kubernetes: A Basic Overview
• ✅ Systems Design Interviews - Alex Xu

💻 Algorithms

• Consistent Hashing in Zig
• Hinted Handoff in Zig

📊 Learning Roadmap

graph TD
    A[Distributed Systems] --> B[Fundamentals]
    A --> C[Advanced Topics]
    A --> D[Database Evolution]
    A --> E[Modern Infrastructure]

    B --> F[Key Concepts]
    B --> G[Landmark Papers]
    B --> H[Distributed Algorithms]

    C --> I[System Design Patterns]
    C --> J[Streaming Systems]
    C --> K[Machine Learning in Distributed Systems]
    C --> L[Monitoring and Tracing]

    D --> M[Relational Databases]
    D --> N[NoSQL Movement]
    D --> O[NewSQL]

    E --> P[Containerization]
    E --> Q[Serverless Computing]
    E --> R[Service Mesh]

    N --> S[Document Stores]
    N --> T[Key-Value Stores]
    N --> U[Column-Family Stores]
    N --> V[Graph Databases]

    F --> W[CAP Theorem]
    F --> X[Consensus]
    F --> Y[Replication]
    F --> Z[Partitioning]

    G --> AA[Google File System]
    G --> AB[MapReduce]
    G --> AC[BigTable]
    G --> AD[Dynamo]

    H --> AE[Paxos]
    H --> AF[Raft]
    H --> AG[Two-Phase Commit]

    I --> AH[SAGA Pattern]
    I --> AI[Event Sourcing]
    I --> AJ[CQRS]

    J --> AK[Kafka]
    J --> AL[Flink]

    L --> AM[Prometheus]
    L --> AN[Jaeger]

    O --> AO[Google Spanner]
    O --> AP[CockroachDB]

    P --> AQ[Docker]
    P --> AR[Kubernetes]

Systems Design Handbook

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Happy learning! May your distributed systems knowledge scale infinitely! 🚀