Resources
Curated learning roadmaps, reference material, and practice routines designed to take you from fundamentals to senior-level system architect.
Learning Playbooks
- Foundations Sprint (2-3 weeks): Work through the opening categories of the HLD roadmap (networking, HTTP, databases). Pair each module with intro readings and daily estimation drills.
- Core Architecture Deep Dive (4-6 weeks): Focus on caching, queues, storage, and consistency. After each topic, reinforce the concept with a relevant case study (e.g., caching → URL shortener, messaging → notification service).
- Scalability & Reliability Lab (3 weeks): Practice sharding, multi-region design, observability, and SLOs. Use the search page to quickly revisit terminology and diagrams.
- Low-Level Design Accelerator (3-4 weeks): Follow the LLD roadmap. Implement 2-3 patterns per week, write UML diagrams, and rehearse API contracts by explaining them out loud.
- Interview Simulation Loop (ongoing): Schedule weekly mock interviews, rotate between HLD, LLD, and hybrid problems, and capture retrospective notes in a design journal.
Stage-Based Resource Stack
Foundation
- Designing Data-Intensive Applications — Chapters 1-4
- Stanford CS 244B distributed systems lectures
- Databases overview & Networking basics
Core Architecture
- System Design Interview (Alex Xu) — Chapters on caches & queues
- InfoQ/QCon talks on microservices trade-offs
- Load balancing + Chat service case study
Scalability & Ops
- Google SRE Workbook — Chapters on alerting & incident response
- Netflix, Uber, Airbnb reliability blogs
- Observability + Notification service
Low-Level Design
- Head First Design Patterns — apply to OOP principles
- Refactoring.Guru pattern catalog
- Implement mini projects (parking lot, rate limiter) after each pattern module
Interview Reps
- System design prep guide timelines
- Pramp / Exponent for mock interviews
- Architecture paper summaries (e.g., DynamoDB, Spanner)
Tooling & Practice Habits
- Diagramming: Excalidraw, Miro, or Whimsical. Save a template for system layout, data flow, and deployment views.
- Estimation drills: Use a spreadsheet or Notion doc to capture daily capacity calculations (QPS, storage, bandwidth).
- Architecture journal: Maintain a log of lessons learned, trade-offs, and interview feedback to surface patterns in your reasoning.
- Deliberate practice: Rotate through case studies, time-box to 45 minutes, then critique using the system design checklist.
Core References
- Designing Data-Intensive Applications — Martin Kleppmann
- System Design Interview Vol 1 & 2 — Alex Xu
- Head First Design Patterns — Freeman et al.
- Site Reliability Engineering — Google
- MIT Distributed Systems Lecture Series