Advanced Spring Cloud Microservices & Deployment with Docker

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Advanced Spring Cloud Microservices & Deployment with Docker

Coursera · Intermediate ·☁️ DevOps & Cloud ·3mo ago

Key Takeaways

Delves into building scalable microservices architecture using Spring Cloud, Docker, and Kubernetes

Original Description

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This course empowers learners to master modern microservices architecture using Spring Cloud, Docker, and Kubernetes. You’ll gain a deep understanding of how to build scalable, resilient microservices while managing configuration, service discovery, routing, and observability across distributed systems. The journey begins with building foundational microservices like Currency Exchange and Currency Conversion using Spring Cloud. You’ll explore essential components such as Spring Cloud Config Server, Eureka Naming Server, and API Gateway. With hands-on examples, you'll implement load balancing, fault tolerance with Resilience4j, and centralized configuration using Git integration. Next, the course dives into containerization using Docker. You'll learn to build optimized Docker images, manage multi-container deployments with Docker Compose, and implement distributed tracing with Zipkin and OpenTelemetry. Finally, you’ll deploy your microservices in a Kubernetes environment on Google Cloud Platform (GCP), mastering YAML configurations, autoscaling, service discovery, and observability with GKE. This course is ideal for experienced Java developers, cloud engineers, or DevOps professionals looking to upskill in microservices architecture and cloud-native deployments. Familiarity with Spring Boot and basic cloud concepts is recommended. The course is rated at an Intermediate level due to its technical depth and deployment complexity. By the end of the course, you will be able to design, build, containerize, and deploy enterprise-grade microservices using Spring Cloud, Docker, and Kubernetes, with full observability and resilience.
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