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Curated Resources – Backend SDE-II (Node.js / TypeScript)

Goal of this file: List high-signal resources (videos, blogs, repos, books) mapped to the roadmap phases. Use this as a menu, not a checklist to finish entirely.

1. JavaScript & TypeScript​

  • Books / Long-Form

    • You Don't Know JS Yet (series) – deep dive into JS mechanics.
    • Effective TypeScript – practical TS patterns and pitfalls.

  • Videos / Playlists

    • Modern JS and TS tutorials from well-reviewed channels (search for latest versions).
    • Event loop & microtasks talks (search: "JS event loop talk").

  • Blogs

    • JavaScript event loop explained articles.
    • TypeScript advanced types and utility types guide.

  • Repos / Code

    • Example TS starter projects:
      • Minimal Node/TS starter with ESLint + Jest.

2. Node.js Backend Engineering​

  • Books

    • Node.js Design Patterns – patterns and best practices for scalable Node services.

  • Topics to Search / Watch

    • Node.js event loop and libuv internals.
    • Building REST APIs with Express and Fastify.
    • Logging and error handling in production Node apps.

  • Blogs

    • Guides on structuring large Node/TS backends (layered architecture).
    • JWT vs sessions, refresh tokens, and secure auth flows.

  • Structured Courses / Topic Roadmaps

  • Repos

    • Example Node/TS clean architecture repos.
    • Express/Fastify boilerplates with tests and Docker.

3. Databases – MongoDB, MySQL​

  • Docs / Guides

    • MongoDB manual (queries, aggregation, indexes).
    • MySQL indexing and EXPLAIN tutorials.

  • Videos

    • SQL basics and advanced query tuning.
    • NoSQL vs SQL talks and real-world trade-offs.

  • Blogs

    • N+1 query problem explanations and solutions.
    • Designing schemas for common app patterns.

4. Redis, Queues, Caching​

  • Docs

    • Redis official documentation for data structures and persistence.

  • Blogs

    • Caching patterns: cache-aside, write-through, write-back.
    • Implementing rate limiting with Redis.

  • Repos

    • BullMQ (or similar) examples for job queues in Node.

5. System Design (HLD + LLD)​

  • Books

    • Designing Data-Intensive Applications – fundamentals of storage, streams, distributed systems.

  • Videos / Playlists

    • System design interview playlists (search for "system design for backend").
    • Talks on building large-scale systems like notification services, feeds, and rate limiters.

  • Blogs

    • Architectures of large-scale systems (e.g., how big companies design their services).
    • API design best practices (versioning, pagination, error handling).

6. Machine Coding & LLD​

  • Resources

    • Collections of LLD / machine coding interview problems.
    • Example implementations in TypeScript/Java/C++ for:
      • Parking lot, Splitwise, cache, pub/sub, etc.

  • Practice Strategy

    • Use machine-coding-bank.md as your main list.
    • For any problem, search for one reference solution after you’ve implemented your own.

7. DSA​

  • Platforms

    • Use one major coding platform for:
      • Arrays, strings, hash maps, trees, graphs, heaps.

  • Strategy

    • Follow patterns from dsa-backend-plan.md.
    • Bookmark problems where you learn a new pattern.

8. Theory, Infra, Cloud, CI/CD​

  • OS & Networking

    • Online course notes or video series on OS fundamentals.
    • Networking primers covering TCP/IP, HTTP, DNS, TLS.

  • DBMS, CAP, Consistency

    • ACID and isolation levels tutorials.
    • CAP and consistency models blog series.

  • Cloud (AWS Preferred)

    • AWS docs and introductory tutorials:
      • EC2, S3, RDS, SQS, CloudWatch, IAM basics.
    • Step-by-step guides to deploy a Node/TS app on AWS.

  • CI/CD & DevOps

    • Tutorials on GitHub Actions or GitLab CI pipelines for Node apps.
    • Dockerizing Node.js applications.

9. Production Debugging, Logs, Profiling​

  • Topics

    • Node.js logging best practices.
    • Using structured logs and correlation IDs.
    • Basics of monitoring (metrics, dashboards, alerts).
    • Profiling CPU and memory usage in Node.

  • Practice

    • Add logging and basic metrics to your own projects (see projects.md).
    • Simulate failures and timeouts, then debug them.

Use this file as a pointer to search for the latest, high-quality resources while relying on the rest of the repo (roadmap-16-weeks.md, week-XX.md, etc.) for what to study and in which order.