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https://github.com/sidhyaashu/order_management_service

Learn how to build scalable micro-services in Golang with gRPC by building a practical real-world production project (order management system).
https://github.com/sidhyaashu/order_management_service

go grpc-go

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Learn how to build scalable micro-services in Golang with gRPC by building a practical real-world production project (order management system).

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# GOgRPC
Learn how to build scalable micro-services in Golang with gRPC by building a practical real-world production project (order management system).

gRPC (short for **g**eneral-purpose **R**emote **P**rocedure **C**all) is a modern, high-performance, open-source framework developed by Google for enabling efficient communication between distributed systems and services. It uses **protocol buffers (protobuf)** as its interface definition language and serialization mechanism, making it both fast and compact.

### Key Features of gRPC:
1. **Cross-Language Support**:
- gRPC supports multiple programming languages, including C++, Java, Python, Go, Node.js, Ruby, and more.
- This enables the creation of heterogeneous systems where different components can be implemented in different languages.

2. **Efficient Serialization**:
- Uses protocol buffers (protobuf) for compact, high-performance serialization.
- This makes gRPC well-suited for systems requiring low-latency and high-throughput communication.

3. **Bidirectional Streaming**:
- Supports four types of communication:
1. **Unary RPC**: Single request and single response.
2. **Server-Streaming RPC**: Single request and a stream of responses.
3. **Client-Streaming RPC**: Stream of requests and a single response.
4. **Bidirectional Streaming RPC**: Both client and server can exchange a stream of messages.

4. **HTTP/2-Based Transport**:
- gRPC uses HTTP/2 as its transport protocol, providing benefits such as multiplexing, flow control, and built-in support for TLS encryption.

5. **Code Generation**:
- Developers define the service interface and message structures in `.proto` files.
- gRPC automatically generates client and server stubs in the desired programming language.

6. **Interoperability**:
- Enables seamless communication between microservices, making it a popular choice for microservices-based architectures.

7. **Advanced Features**:
- Built-in support for authentication, load balancing, and pluggable middleware.
- Enables streaming, retries, and deadlines.

### Common Use Cases:
- **Microservices Communication**:
Facilitates communication between microservices in distributed systems.

- **Real-Time Applications**:
Its streaming capabilities are ideal for real-time applications like chat apps, live monitoring systems, and video streaming.

- **IoT Applications**:
Provides efficient communication for resource-constrained IoT devices.

- **Inter-Platform Systems**:
Allows components written in different languages to communicate effectively.

### Example Workflow:
1. Define the service in a `.proto` file.
2. Generate code for client and server stubs using gRPC's tools.
3. Implement the server and client logic.
4. Deploy and use the gRPC service.

### Advantages:
- High performance and low latency.
- Cross-platform and cross-language support.
- Compact serialized data format.
- Rich feature set for modern distributed systems.

### Disadvantages:
- Slightly steeper learning curve due to its reliance on protocol buffers and the need for generated code.
- Limited native support for browsers (requires gRPC-Web).

### Comparison with REST:
| Feature | gRPC | REST |
|-----------------|------------------------------|-----------------------------|
| Protocol | HTTP/2 | HTTP/1.1 |
| Data Format | Protocol Buffers (binary) | JSON (text-based) |
| Performance | Faster, compact | Slower, larger payloads |
| Streaming | Yes (bidirectional) | Limited |
| Browser Support | Requires gRPC-Web | Native |