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Comprehensive coverage of microservices architecture and best practices
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Hands-on projects demonstrating real-world microservices implementation
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In-depth exploration of monitoring, logging, and performance optimization
This course starts with the fundamentals of microservices, comparing them with monolithic architectures and addressing their pros and cons. You will set up your development environment, build a "Hello World" microservice, and understand key Spring Boot features. Then, you will explore REST Template, WebClient, and reactive programming with WebFlux to enable efficient service communication.
Next, you will build a fully functional microservices application, implementing services for products, pricing, and inventory. You will integrate service discovery with Eureka, use Netflix Ribbon for load balancing, and configure API gateways for seamless communication. The course covers resilience patterns, including circuit breakers with Resilience4j, retries, and centralized configuration using Spring Cloud Config Server.
Finally, you will learn advanced production-ready techniques such as distributed tracing with Zipkin, log aggregation with the ELK stack, and event-driven microservices using Spring Cloud Bus. By the end, you will have hands-on experience in building robust, scalable, and highly available microservices using industry-best practices.
This course is designed for Java developers and backend engineers looking to master microservices architecture using Spring Boot and Spring Cloud. If you want to build scalable, fault-tolerant applications, this course is for you. Prior knowledge of Java and Spring Boot is recommended, along with basic experience in RESTful APIs and distributed systems. Whether you're transitioning from monolithic applications or improving microservices skills, this course provides practical, real-world expertise.
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Develop microservices using Spring Boot and Spring Cloud
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Implement service-to-service communication with REST & WebClient
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Build reactive microservices using WebFlux and backpressure handling
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Set up Eureka for service discovery and Netflix Ribbon for load balancing
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Ensure fault tolerance with Resilience4j circuit breakers and retries
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Monitor and trace microservices using Zipkin and ELK Stack