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Building Scalable Microservices with Spring Boot and Kubernetes

Omendra Dwivedi

Omendra Dwivedi

May 20, 2025

Building Scalable Microservices with Spring Boot and Kubernetes

Building Scalable Microservices with Spring Boot and Kubernetes

Introduction

In today's enterprise landscape, microservices architecture has become the go-to choice for building scalable and maintainable applications. This guide explores how to leverage Spring Boot and Kubernetes to create robust microservices.

Key Components

1. Spring Boot Application Setup

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

2. Service Discovery with Kubernetes

apiVersion: apps/v1
kind: Deployment
metadata:
  name: order-service
spec:
  replicas: 3
  selector:
    matchLabels:
      app: order-service
  template:
    metadata:
      labels:
        app: order-service
    spec:
      containers:
      - name: order-service
        image: order-service:1.0
        ports:
        - containerPort: 8080

Best Practices

  1. Circuit Breaking: Implement Resilience4j for fault tolerance
  2. API Documentation: Use SpringDoc OpenAPI for API documentation
  3. Monitoring: Set up Prometheus and Grafana for metrics
  4. Logging: Centralize logs with ELK stack

Implementation Guide

1. Setting Up Circuit Breakers

@CircuitBreaker(name = "orderService")
@GetMapping("/orders/{id}")
public Order getOrder(@PathVariable String id) {
    return orderRepository.findById(id)
        .orElseThrow(() -> new OrderNotFoundException(id));
}

2. Implementing API Gateway

@Configuration
public class GatewayConfig {
    @Bean
    public RouteLocator customRouteLocator(RouteLocatorBuilder builder) {
        return builder.routes()
            .route("order_service", r -> r
                .path("/api/orders/**")
                .uri("lb://order-service"))
            .build();
    }
}

Deployment Strategy

  1. Rolling Updates: Ensure zero-downtime deployments
  2. Auto-scaling: Configure HPA for dynamic scaling
  3. Health Checks: Implement readiness and liveness probes

Monitoring and Maintenance

apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
  name: order-service-monitor
spec:
  selector:
    matchLabels:
      app: order-service
  endpoints:
  - port: metrics

Conclusion

Building microservices with Spring Boot and Kubernetes provides a robust foundation for enterprise applications. Follow these patterns and practices to ensure scalability, resilience, and maintainability in your microservices architecture.