Overview

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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 developers, backend engineers, DevOps professionals, cloud-native application developers, software architects, and learners who want to understand how production-ready Java microservices are designed, built, deployed, and operated. If you are new to microservices or want a practical path from Spring Boot development to Kubernetes and service mesh concepts, this course provides a guided learning experience. Learners should have basic experience with Java and Spring Boot. Familiarity with Maven, REST APIs, Docker, Git, and command-line usage is helpful, along with a willingness to practice through hands-on development and deployment tasks. Enroll now and learn how to build scalable, resilient, and observable Java microservices.

Syllabus

Java Microservices Foundations

Build cloud-native Java microservices with Spring Boot, Docker, API Gateways, and Kafka. Explore service boundaries, containerization, gateway routing, and event-driven communication through hands-on projects that prepare you to design scalable, production-ready microservices.

Distributed Data Management and Resilient Transaction Patterns

Develop reliable distributed microservices by exploring CQRS, Saga patterns, eventual consistency, and resilience engineering. Learn how Redis read models, Kafka-driven workflows, circuit breakers, retries, fallbacks, and gateway rate limiting help build scalable, fault-tolerant systems for cloud-native environments.

Kubernetes-Native Service Mesh and Observability

Master cloud-native microservice deployment with Kubernetes, Eureka, Istio, Envoy, and observability tools. Learn how service discovery, traffic management, mTLS, and monitoring help operate secure, scalable, and production-ready Spring Boot microservices in Kubernetes environments.