Service Meshes and Microservices Patterns

Cloud-native Java applications are built differently from traditional monoliths. In this hands-on course, you’ll learn Service Meshes and Microservices Patterns, a practical course that helps developers build, containerize, connect, secure, and observe Java microservices using modern cloud-native tools and patterns. Whether you want to understand microservices architecture, design independent services, manage distributed data, or deploy services with Kubernetes and Istio, this course gives you a structured starting point. You’ll begin by exploring the foundations of microservices architecture, including service boundaries, multi-module Maven projects, Spring Boot services, Docker containerization, Docker Compose environments, PostgreSQL integration, Spring Cloud Gateway routing, and Kafka-based event communication. Then, you’ll move into distributed data and resilience patterns by working with CQRS, Redis read models, Saga workflows, eventual consistency, Resilience4j circuit breakers, retries, fallbacks, and gateway rate limiting. Finally, you’ll explore Kubernetes-native deployment, Eureka service discovery, Istio service mesh, Envoy sidecars, mTLS, traffic splitting, and observability. By the end of this course, you will be able to: - Explain microservices architecture, service boundaries, cloud-native design principles, and the shared database anti-pattern. - Build and manage multi-module Spring Boot microservices using Maven, Docker, Docker Compose, PostgreSQL, Kafka, Redis, and Spring Cloud Gateway. - Implement distributed data and transaction patterns using CQRS, Redis-backed read models, Saga choreography, and eventual consistency. -Apply resilience patterns such as circuit breakers, retries, fallback methods, and Redis-backed gateway rate limiting. -Deploy Java microservices to Kubernetes using Minikube, configure service discovery with Eureka, and use Istio with Envoy for traffic control, mTLS, and observability. This course is designed for Java develo