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🚀 System Design Roadmap (Beginner → Advanced)

  • mirglobalacademy
  • Nov 27, 2025
  • 2 min read



Below is the clearest and most practical roadmap for System Design, broken down into HLD (High-Level Design) and LLD (Low-Level Design) — perfect for interviews, DSA learners, and real-world architecture.


🔵 PHASE 1 — Foundations (Beginner)

✔️ Learn these first

  • What is System Design?

  • Functional vs Non-functional requirements

  • CAP Theorem

  • ACID & BASE

  • Horizontal vs Vertical Scaling

  • Latency vs Throughput

  • Consistency models (Strong, Eventual, Weak)

  • Caching basics

  • Load Balancing basics

  • Client-Server model

⏳ Time: 5–7 days


🔵 PHASE 2 — High-Level Design (HLD)

HLD = Big Architecture of the system (bird’s-eye view) Focus on components, data flow, and high availability.


✔️ Must Learn

  • API Gateways

  • Load Balancers (L4 vs L7)

  • CDN

  • Reverse Proxy

  • Microservices vs Monolith

  • Message Queues (Kafka, RabbitMQ)

  • Databases

    • SQL vs NoSQL

    • Sharding, Replication, Partitioning

  • Cache Systems

    • Redis

    • Memcached

  • File Storage

    • S3

    • Blob Storage

  • Monitoring & Logging

    • Prometheus

    • Grafana

    • ELK


✔️ HLD Flow

  1. Requirements Clarification

  2. Define APIs

  3. Plan the overall Architecture

  4. Choose Database & Storage

  5. Add Cache + Load Balancer

  6. Add Asynchronous Processing

  7. Discuss Failover, Auto Scaling

  8. Bottlenecks & Trade-offs


✔️ Example HLD: URL Shortener


Client → API Gateway → App Service → DB + Cache → Analytics Service



🔵 PHASE 3 — Low-Level Design (LLD)

LLD = Class diagrams + methods + relationships + detailed logic.






✔️ Must Learn LLD Topics


  • OOP Principles (SOLID)

  • Class Diagrams (UML)

  • Sequence Diagrams

  • Design Patterns:

    • Creational → Singleton, Factory, Builder

    • Structural → Adapter, Decorator, Facade

    • Behavioral → Strategy, Observer, Command

  • Interface Design

  • Database schema design

  • Entity Relationships (ERD)

  • API Contracts

  • Handling concurrency in code

  • Thread-safety

  • Caching at code-level


🔵 PHASE 4 — Deep Distributed Systems


✔️ Learn internal working of large-scale systems:

  • Consensus Algorithms

    • Raft

    • Paxos

  • Distributed Transactions

  • Event Sourcing

  • CQRS

  • Pub/Sub architecture

  • Distributed Logging

  • Vector Clocks

  • Gossip Protocol

  • Leader Election


🔵 PHASE 5 — Design Real-World Systems (Interview Practice)






⭐ Practice these

  • WhatsApp

  • YouTube

  • Uber

  • Twitter/X

  • TikTok

  • Netflix

  • Gmail

  • Google Drive

  • Load balancer

  • Rate Limiter

  • Notification System

  • Payment Gateway (Stripe-like)


🧩 HOW HLD & LLD CONNECT

HLD = What to build?


  • Big architecture

  • Storage decisions

  • Scaling strategy

  • Data flow


LLD = How to build?


  • Classes, methods

  • Objects, patterns

  • Code-level decisions

  • How each module interacts


HLD is architectureLLD is engineering


🔥 Complete Step-by-Step Learning Path (with Time Estimates)


Week 1 – Basics

  • Web fundamentals

  • Networking

  • SQL vs NoSQL

  • OOP + SOLID


Week 2 – HLD

  • Load Balancers

  • CDN

  • Caching

  • Queues

  • Microservices


Week 3 – LLD

  • UML

  • Design Patterns

  • Class + Sequence Diagrams

  • How to convert HLD → LLD


Week 4 – Big Systems

  • Twitter

  • Instagram

  • WhatsApp

  • Uber

  • Netflix


Week 5 – Scaling

  • Partitioning

  • Replication

  • Event-Driven systems

  • Kafka + Redis


🧱 Visual Architecture (Simple)

HLD View


┌─────────────┐

User → LB → API Gateway → Microservices → DB Cluster → Cache

└─────────────┘



LLD View



✔️ Want me to generate?

🔽 I can generate for you:

  • A full System Design Syllabus

  • A 90-day plan

  • A PDF roadmap

  • HLD diagrams and LLD class diagrams

  • System design interview answers

  • Your practice plan for FAANG






 
 
 

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