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HomeJavajavaTutorialImplementation cases of java framework: microservice architecture design and evolution

In the microservice architecture, Java frameworks (such as Spring Boot) can be used to build services, and RESTful APIs and message queues can be used to implement inter-service communication. Additionally, Eureka and Ribbon components are available for service registration and discovery. Monitoring and visualization with Prometheus and Grafana. As the business grows, the microservices architecture can evolve through vertical splitting, independent deployment, asynchronous processing, and configuration centers to improve scalability, maintainability, and availability.

Implementation cases of java framework: microservice architecture design and evolution

Practical case for the implementation of Java framework: Microservice architecture design and evolution

Introduction

With the rapid development of Internet business, traditional A monolithic architecture cannot meet the changing and expanding needs of the business. As a modern architectural style, microservice architecture provides scalable, maintainable and highly available solutions for distributed system design. This article will introduce the application and evolution process of Java framework in microservice architecture through a practical case.

Architecture Design

Our actual case is an e-commerce system, including product management, order processing, payment and settlement and other functions. We use the Spring Boot framework to build microservices and decompose them into multiple independently deployed services:

@SpringBootApplication
public class ProductServiceApplication {

    public static void main(String[] args) {
        SpringApplication.run(ProductServiceApplication.class, args);
    }
}
@SpringBootApplication
public class OrderServiceApplication {

    public static void main(String[] args) {
        SpringApplication.run(OrderServiceApplication.class, args);
    }
}

Inter-service communication

Inter-service communication is a key link in the microservice architecture. We use RESTful API and message queue in actual combat:

@GetMapping("/products/{id}")
public Product getProduct(@PathVariable Long id) {
    // ...
}
@RabbitListener(queues = "orderCreatedQueue")
public void handleOrderCreatedEvent(OrderCreatedEvent event) {
    // ...
}

Service registration and discovery

In order for services to discover and call each other, we need a service registration and discovery mechanism. We use Eureka and Ribbon components:

@EnableEurekaClient
public class ProductServiceApplication {
    // ...
}
@RibbonClient(name = "order-service")
public interface OrderServiceRestClient {
    // ...
}

Monitoring and Operation and Maintenance

Microservice systems usually contain a large number of services, and monitoring and operation and maintenance are crucial. We used Prometheus and Grafana for monitoring and visualization:

# Prometheus 配置
scrape_configs:
  - job_name: 'microservice-app'
    metrics_path: '/actuator/prometheus'
    static_configs:
      - targets: ['localhost:8080']
# Grafana 仪表盘配置
panels:
  - id: 'service-request-count'
    title: 'Service Request Count'
    targets:
      - expression: sum(rate(microservice_app_http_server_requests_seconds_count{job="microservice-app"}[1m]))
        legendFormat: '{{ service }}'

Evolution process

As the business grows and changes, our microservice architecture is also constantly evolving:

  • Vertical splitting: Split a single service into sub-services with different functions and responsibilities.
  • Independent deployment: Deploy services to different servers or containers to improve availability and scalability.
  • Asynchronous processing: Use message queue to process requests asynchronously to achieve loose coupling and improved throughput.
  • Configuration Center: Through centralized management of configurations, dynamic updates and failover of services are achieved.

Conclusion

This article demonstrates the application of Java framework in the design and evolution of microservice architecture through a practical case. By following best practices and continuing to evolve, we have built a scalable, maintainable and highly available e-commerce system.

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