Spring Cloud Microservices Components

Spring Cloud Microservices Example with Docker, Kubernetes, Kafka on Azure, AWS, GCP

Spring Cloud Microservices Real-Time Architecture with Azure, AWS, GCP using Docker, Kubernetes, Kafka – Integrated with Mainframes, SAP, and Oracle

Author: [Your Name]

Date: June 10, 2025

Introduction

Modern enterprise systems demand scalable, resilient, and cloud-agnostic architectures. Spring Cloud, coupled with Docker and Kubernetes, provides the foundation for building cloud-native microservices. This whitepaper presents a real-time microservices architecture deployed on Azure, AWS, and GCP, leveraging Kafka for communication and integrating with legacy systems like mainframes, SAP, and Oracle ERP.

Architecture Overview

This architecture contains:

  • Spring Boot 3 microservices using Spring Cloud (Eureka, Config, Gateway)
  • Containerized via Docker
  • Orchestrated using Kubernetes on Azure AKS, AWS EKS, and GCP GKE
  • Asynchronous communication via Apache Kafka
  • Secure integration with legacy mainframes, SAP, and Oracle ERP systems

Microservice Components

  • Service Registry: Spring Cloud Eureka for service discovery
  • API Gateway: Spring Cloud Gateway
  • Config Server: Centralized configuration management
  • Kafka Producer/Consumer: Messaging backbone for async processing
  • Business Services: Order Service, Payment Service, Inventory Service

Dockerfile Example


FROM eclipse-temurin:17-jdk-alpine
WORKDIR /app
COPY target/order-service.jar app.jar
ENTRYPOINT ["java", "-jar", "app.jar"]
  

Kubernetes Deployment Snippet (EKS/GKE/AKS)


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: your-dockerhub/order-service:latest
        ports:
        - containerPort: 8080
  

Inter-Service Communication

  • Synchronous: REST calls via service discovery using Eureka and Feign clients
  • Asynchronous: Kafka topics for event-driven architecture (e.g., order-events, payment-events)

Kafka Integration Example


spring:
  kafka:
    bootstrap-servers: kafka-service:9092
    consumer:
      group-id: order-group
    producer:
      key-serializer: org.apache.kafka.common.serialization.StringSerializer
      value-serializer: org.apache.kafka.common.serialization.StringSerializer
  

Cloud Platform Deployment

Azure (AKS)

  • Use Azure Kubernetes Service (AKS)
  • Azure Event Hubs for Kafka-compatible messaging (if desired)
  • Azure AD for securing service endpoints

AWS (EKS)

  • Amazon Elastic Kubernetes Service (EKS)
  • Amazon MSK (Managed Streaming for Kafka)
  • AWS Secrets Manager for managing credentials

GCP (GKE)

  • Google Kubernetes Engine (GKE)
  • Confluent Kafka or GCP Pub/Sub in Kafka-compatible mode
  • Cloud IAM for securing APIs

Integration with Mainframes, SAP & Oracle ERP

Mainframe Integration

  • Use IBM MQ for message-based integration
  • Support JWT token propagation for secure identity mapping
  • Use secure proxy/API gateway for mainframe calls

SAP Integration

  • Use SAP BTP or SAP PI/PO middleware
  • Expose SAP APIs as OData or REST endpoints
  • Integrate using Kafka connectors or SAP adapters

Oracle ERP Integration

  • Oracle Integration Cloud or SOA Suite for orchestrating service calls
  • Use Oracle DB Adapters or REST APIs
  • Kafka Connect with JDBC source/sink for database-level event streaming

Security and Observability

  • Use OAuth2/OIDC via cloud IAM or Keycloak
  • Centralized logging with ELK/EFK stack or cloud-native tools
  • Distributed tracing via OpenTelemetry with Zipkin or Jaeger
  • Service Mesh (Istio/Linkerd) for policy enforcement and mTLS

Benefits of This Architecture

  • Cloud-agnostic and scalable across Azure, AWS, and GCP
  • Supports real-time messaging and event sourcing
  • Secure integration with critical legacy platforms like mainframes, SAP, and Oracle
  • Modular and portable via Docker and Kubernetes

Conclusion

Enterprises looking to modernize with microservices across hybrid environments will benefit from a unified approach combining Spring Cloud, Kubernetes, Kafka, and seamless ERP/mainframe integration. This reference architecture provides a robust foundation for building resilient and secure systems in real-time.

References

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