This project implements a Distributed Microservices Architecture tailored for Command and Platform Services using .NET and C#. Designed for scalability, resilience, and efficiency, the architecture leverages modern technologies such as Kubernetes, Docker, RabbitMQ, gRPC, and MySQL to deliver robust and high-performance solutions.
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Scalable Microservices Solution
- Developed using .NET and C#, incorporating an API Gateway for centralized routing.
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Service Segmentation
- Functionalities are divided into Command and Platform services.
- Utilizes in-memory databases for real-time processing and MySQL for persistent storage.
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Efficient Communication
- Implemented gRPC for high-performance inter-service communication.
- RabbitMQ is used for message brokering to ensure seamless data flow and service decoupling.
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Secure Client Interactions
- Developed REST APIs to facilitate secure and reliable client interactions.
Click on the diagram to explore the architecture in detail.
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.NET & C#
- Core development framework and programming language for building microservices.
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Kubernetes
- Container orchestration platform for deploying, scaling, and managing microservices.
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Docker
- Containerization platform to ensure consistent environments across development and production.
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RabbitMQ
- Message broker for handling asynchronous communication between services.
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gRPC
- High-performance RPC framework for efficient inter-service communication.
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MySQL
- Relational database for persistent data storage.
- Docker: Install Docker
- Kubernetes: Set up Kubernetes
- .NET SDK: Download .NET
- MySQL: Install MySQL
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Clone the Repository
git clone https://github.com/yourusername/your-repo-name.git
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Navigate to the Project Directory
cd your-repo-name
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Build Docker Images
docker-compose build
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Deploy to Kubernetes
kubectl apply -f k8s/
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Access the API Gateway
- Once deployed, access the API Gateway to interact with the microservices.
- API Gateway: Central point for all client requests, routing them to the appropriate microservices.
- Command Services: Handle real-time processing using in-memory databases.
- Platform Services: Manage persistent data storage with MySQL.
- Communication: Utilize gRPC for internal service calls and RabbitMQ for asynchronous messaging.
Contributions are welcome! Please follow these steps:
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Fork the Repository
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Create a Feature Branch
git checkout -b feature/YourFeature
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Commit Your Changes
git commit -m "Add some feature"
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Push to the Branch
git push origin feature/YourFeature
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Open a Pull Request
This project is licensed under the Special License.