🛠️ System Design Learning Roadmap

📘 Introduction

System design involves creating a detailed blueprint of a system’s architecture, components, modules, interfaces, and data to fulfill specific requirements. It includes outlining a structured plan for building, implementing, and maintaining the system, ensuring it meets functional, technical, and business needs. This process addresses considerations of scalability, performance, security, and usability, aiming to develop an efficient and effective solution.

(Source: roadmap.sh/system-design)

🧽 Roadmap Overview

Foundational Concepts
Core System Components
Advanced Topics
Practical Case Studies
Interview Preparation

📘 Study Timeline

Week	Focus
1-2	Foundational Concepts
3-5	Core System Design Techniques
6-10	Advanced Topics
11-12	Practical Case Studies
13-14	Mock Interviews + System Design Docs
15+	Advanced Topics (optional mastery)

1. 🧱 Foundational Concepts

🔹 What is System Design?

Purpose and importance of system design
High-level vs. low-level design

🔹 Scalability

Horizontal vs. vertical scaling
Load balancing strategies

🔹 Reliability

Fault tolerance
Redundancy and replication

🔹 Availability

High availability strategies
Uptime planning

🔹 Maintainability

Modular design
Code readability and documentation

🔹 Performance

Latency vs. throughput
Optimization techniques

2. 🧰 Core System Components

🔹 Databases

SQL vs. NoSQL
Indexing, partitioning, replication

🔹 Caching

In-memory caches (Redis, Memcached)
Cache invalidation strategies

🔹 Load Balancers

Layer 4 vs. Layer 7
Health checks and failover

🔹 Message Queues

Asynchronous processing (RabbitMQ, Kafka)
Delivery guarantees

🔹 Content Delivery Networks (CDNs)

Edge caching
Latency reduction

🔹 Proxies

Forward and reverse proxies
Use cases

🔹 Web Servers

HTTP request handling
Connection management

🔹 Application Servers

Business logic handling

🔹 Search Engines

Elasticsearch, Solr
Full-text search

🔹 Logging and Monitoring

Centralized logging systems
Real-time monitoring and alerting

3. 🚀 Advanced Topics

🔹 Microservices Architecture

Service decomposition
Inter-service communication

🔹 Event-Driven Architecture

Event sourcing
CQRS

🔹 API Design

RESTful APIs
GraphQL, gRPC

🔹 Security

Authentication and authorization
Data encryption

🔹 Data Consistency

Strong vs. eventual consistency

🔹 Rate Limiting

Preventing abuse
Token bucket, leaky bucket algorithms

🔹 CAP Theorem

Trade-offs analysis

🔹 Database Sharding

Horizontal partitioning

🔹 Distributed Systems

Consensus algorithms (Paxos, Raft)
Handling failures

4. 🧪 Practical Case Studies

Design systems like:

TinyURL (URL Shortener)
Twitter (Social Media Platform)
Amazon (E-commerce Website)
YouTube (Video Streaming Service)
Uber (Ride-Sharing Application)
Design Reddit (Content Ranking, News Feed)
Design Instagram (Feed Generation, Storage)