Learn System Design by understanding the thought process—not just memorizing architectures.
This repository documents my journey of learning System Design from the ground up. The focus is on developing the engineering mindset required to design scalable, reliable, and maintainable software systems.
Whether you're preparing for interviews or becoming a better software engineer, this repository is designed to help you think like a system architect.
- Understand System Design fundamentals
- Learn how large-scale systems work
- Practice breaking down real-world problems
- Document design decisions and trade-offs
- Prepare for Senior Software Engineer interviews
- What is System Design?
- Functional vs Non-Functional Requirements
- CAP Theorem
- Scalability
- Availability
- Reliability
- Latency vs Throughput
- Consistency Models
- Fault Tolerance
- Monolith
- Microservices
- Event-Driven Architecture
- Serverless
- Layered Architecture
- Hexagonal Architecture
- Clean Architecture
- HTTP / HTTPS
- REST APIs
- GraphQL
- gRPC
- WebSockets
- TCP vs UDP
- DNS
- CDN
- SQL vs NoSQL
- Database Indexing
- Sharding
- Replication
- Partitioning
- Transactions
- ACID
- BASE
- Redis
- Memcached
- Cache Aside
- Read Through
- Write Through
- Write Back
- Cache Eviction
- Kafka
- RabbitMQ
- Amazon SQS
- Event Streaming
- Pub/Sub
- Blob Storage
- Object Storage
- File Systems
- Distributed Storage
- Reverse Proxy
- Nginx
- HAProxy
- Load Balancers
- Health Checks
- Authentication
- Authorization
- JWT
- OAuth2
- Rate Limiting
- API Gateway
- SSL/TLS
- AWS
- Docker
- Kubernetes
- Auto Scaling
- Monitoring
- Logging
- URL Shortener
- TinyURL
- Pastebin
- Chat Application
- Twitter (X)
- Facebook Feed
- YouTube
- Netflix
- Uber
- Ola
- BookMyShow
- Google Drive
- Dropbox
- Payment Gateway
- E-commerce Platform
- Notification Service
- Search Engine
- Ride Sharing
system-design-thinking/
│
├── 01-fundamentals/
├── 02-networking/
├── 03-database/
├── 04-caching/
├── 05-messaging/
├── 06-storage/
├── 07-cloud/
├── 08-security/
├── 09-design-patterns/
├── 10-case-studies/
├── diagrams/
└── resources/
- Problem Statement
- Requirements
- Architecture Diagram
- Components
- Data Flow
- Database Design
- APIs
- Scaling Strategy
- Bottlenecks
- Trade-offs
- Interview Questions
- System Design
- Distributed Systems
- Microservices
- AWS
- Docker
- Kubernetes
- Redis
- Kafka
- PostgreSQL
- MongoDB
- REST
- GraphQL
- Software Engineers
- Backend Developers
- Full Stack Developers
- Engineering Students
- Interview Preparation
- System Design Enthusiasts
Great software engineers don't memorize architectures.
They understand:
- Why a system is designed a certain way
- The trade-offs behind every decision
- When to use a technology
- When not to use it
This repository focuses on building that mindset.
Contributions, suggestions, and discussions are always welcome.
If you find this repository useful:
⭐ Star the repository
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GitHub: CodeWithIshwar-dev | Ishwar Chandra Tiwari
Building in public 🚀
Learning one system at a time.
system-design-thinking/ │ ├── README.md ├── 01-system-design-basics/ ├── 02-scalability/ ├── 03-networking/ ├── 04-load-balancing/ ├── 05-caching/ ├── 06-databases/ ├── 07-storage/ ├── 08-messaging-queues/ ├── 09-microservices/ ├── 10-security/ ├── 11-cloud/ ├── 12-observability/ ├── 13-design-patterns/ ├── 14-case-studies/ │ ├── bookmyshow/ │ ├── whatsapp/ │ ├── uber/ │ ├── netflix/ │ ├── twitter/ │ ├── instagram/ │ ├── youtube/ │ ├── payment-gateway/ │ └── url-shortener/ ├── diagrams/ ├── images/ └── resources/