System Design Roadmap
🛠️ 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)
5. 🌟 Interview Preparation
- Practice common system design problems
- Mock interviews
- Analyze real-world system architectures
📊 Goals By End of 3 Months
- Master core design patterns and trade-offs.
- Be interview-ready for System Design rounds.
- Design production-ready systems confidently.
- Speak the language of scalability, consistency, and reliability.
📚 Recommended Resources
- System Design Primer
- Designing Data-Intensive Applications
- Grokking the System Design Interview
- High Scalability Blog
- Gaurav Sen - System Design YouTube
- Cloudflare Engineering Blog
- AWS Well-Architected Framework
- Awesome Scalability
📚 Further Resources
Happy Learning! 🎓
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