https://github.com/zvdy/system-design
A practical guide to system design patterns with real-world Python implementations.
https://github.com/zvdy/system-design
batch-processing caching databases load-balancer python sharding system-design
Last synced: 30 days ago
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A practical guide to system design patterns with real-world Python implementations.
- Host: GitHub
- URL: https://github.com/zvdy/system-design
- Owner: zvdy
- License: mit
- Created: 2025-03-15T11:38:12.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-28T09:35:05.000Z (about 1 year ago)
- Last Synced: 2025-03-28T10:36:01.870Z (about 1 year ago)
- Topics: batch-processing, caching, databases, load-balancer, python, sharding, system-design
- Language: Python
- Homepage:
- Size: 42 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# System Design Examples and Implementations
A practical guide to system design patterns with real-world Python implementations and ASCII diagrams.
Includes hands-on examples of databases, caching, replication, sharding, stream processing, and more.
## 🔍 Topics Covered
### 1. Database Fundamentals
- ACID Properties ([docs](docs/database_fundamentals.md) | [example](src/examples/database_fundamentals/acid_properties.py))
- Transaction Management
- Indexing Strategies
- Query Optimization
- Consistency Models
### 2. Data Serialization
- Protocol Buffers ([docs](docs/data_serialization.md) | [example](src/examples/data_serialization/serialization_comparison.py))
- Apache Thrift
- JSON/XML
- Apache Avro
- MessagePack
### 3. Replication
- Master-Slave Replication ([docs](docs/replication.md) | [example](src/examples/replication/master_slave_replication.py))
- Multi-Master Replication
- Synchronous vs Asynchronous
- Conflict Resolution
- Quorum-based Systems
### 4. Sharding
- Partitioning Strategies ([docs](docs/sharding.md) | [example](src/examples/sharding/consistent_hashing.py))
- Consistent Hashing
- Data Distribution
- Rebalancing
- Hot Spot Prevention
### 5. Batch Processing
- MapReduce ([docs](docs/batch_processing.md) | [example](src/examples/batch_processing/map_reduce.py))
- ETL Pipelines
- Hadoop Ecosystem
- Batch Scheduling
- Data Warehousing
### 6. Stream Processing
- Real-time Analytics ([docs](docs/stream_processing.md) | [example](src/examples/stream_processing/stream_processor.py))
- Event Sourcing
- Stream Processing Patterns
- Kafka Streams
- Apache Flink
### 7. Storage Types
- Time-Series Databases ([docs](docs/storage_types.md) | [example](src/examples/storage_types/storage_comparison.py))
- Graph Databases
- Document Stores
- Column-Family Stores
- Key-Value Stores
### 8. Caching
- Cache Invalidation ([docs](docs/caching.md) | [example](src/examples/caching/cache_strategies.py))
- Cache Replacement Policies
- Distributed Caching
- Write-Through vs Write-Back
- Cache Coherence
### 9. Load Balancing
- Algorithm Types ([docs](docs/load_balancing.md) | [example](src/examples/load_balancing/load_balancer.py))
- Health Checking
- Session Persistence
- SSL Termination
- Layer 4/7 Load Balancing
## 🛠️ Getting Started
### Prerequisites
- Python 3.8+
- pip
- virtualenv (recommended)
### Installation
```bash
# Clone the repository
git clone https://github.com/zvdy/system-design.git
# Create and activate virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install dependencies
pip install -r requirements.txt
```
## 🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request. For major changes:
1. 🍴 Fork the repository
2. 🌿 Create a new branch
3. 🔧 Make your changes
4. ✅ Run the tests
5. 📝 Submit a pull request
## 📖 Documentation
Each topic includes:
- 📚 Comprehensive documentation in the `docs/` directory
- 💻 Working Python examples in the `src/examples/` directory
- 🎨 ASCII diagrams for visual understanding
- ✅ Unit tests in the `tests/` directory
## 📝 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.