Welcome to the System Design Mastery course! This comprehensive curriculum is designed to take you from a beginner to an expert in system design. Whether you're preparing for technical interviews or aiming to enhance your skills as a software engineer, this course provides a structured path to mastering the art and science of designing scalable, reliable, and efficient systems.
This course covers a wide range of topics, from fundamental concepts to advanced techniques used in modern distributed systems. You'll learn about:
- Basic principles of system design
- Core components of distributed systems
- Scalability and performance optimization techniques
- Design patterns and best practices
- Real-world case studies
- Emerging technologies in system design
- Start with the Introduction to understand the course structure and learning path.
- Follow the lessons sequentially for a structured learning experience.
- Each lesson is contained in a markdown file, making it easy to read directly on GitHub or in your preferred markdown viewer.
- Supplement your learning with additional resources linked within each lesson.
- Practice what you've learned by working on the case studies and interview preparation problems.
While this course starts from the basics, having a foundational understanding of the following will be beneficial:
- Basic programming concepts
- Fundamental data structures and algorithms
- Basic networking concepts (TCP/IP, HTTP)
- What is System Design?
- Importance of System Design
- Key Principles
- Functional vs Non-Functional Requirements
- Scalability
- Reliability and Availability
- Latency and Throughput
- Monolithic Architecture
- Microservices Architecture
- Event-Driven Architecture
- Layered Architecture
- OSI Model and TCP/IP
- HTTP and HTTPS
- REST and GraphQL
- WebSockets and Long Polling
- Relational Databases
- NoSQL Databases
- Document Stores
- Key-Value Stores
- Column-Family Stores
- Graph Databases
- Time-Series Databases
- ACID and CAP Theorem
- Caching Strategies
- Content Delivery Networks
- In-Memory Caches
- Database Query Caching
- Load Balancing Algorithms
- Hardware vs Software Load Balancers
- Layer 4 vs Layer 7 Load Balancing
- Introduction to Message Queues
- Publish-Subscribe Model
- Popular Message Queue Systems
- Consistency Models
- Eventual Consistency
- Distributed Consensus Algorithms
- Sharding and Partitioning
- Replication Strategies
- Batch Processing
- Stream Processing
- Lambda and Kappa Architectures
- Authentication and Authorization
- OAuth and JWT
- Encryption and Hashing
- SSL/TLS
- DDoS Protection
- Metrics and KPIs
- Logging Best Practices
- Distributed Tracing
- Alerting Systems
- Database Indexing and Query Optimization
- Caching Strategies for Performance
- Content Delivery Optimization
- Asynchronous Processing
- Database Replication and Sharding
- Horizontal Partitioning
- Consistent Hashing
- Data Denormalization
- Redundancy and Failover
- Disaster Recovery Strategies
- Multi-Region Deployments
- Creational Patterns
- Structural Patterns
- Behavioral Patterns
- CQRS
- Event Sourcing
- Domain-Driven Design
- Twelve-Factor App
- Immutable Infrastructure
- Infrastructure as Code
- E-commerce Platform
- Social Media Platform
- Video Streaming Service
- Ride-sharing Application
- Chat Application
- Cloud Computing
- Containerization and Orchestration
- Edge Computing
- Machine Learning Systems
- Blockchain Systems
- Interview Strategies
- URL Shortener
- Distributed Key-Value Store
- Social Media Timeline
- Parking Lot System
To get started with this course, you can clone this repository to your local machine:
git clone https://github.com/commit365/system-design-mastery.git
cd system-design-masteryThis course is licensed under the MIT License. See the LICENSE file for more details.