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Docker - Hands On for Java Developers

Get real world, hands-on experience with Docker - deploy a Java Microservice Architecture using Docker and Docker Swarm

     
  • 4.6
  •  |
  • Reviews ( 2.7K )
₹559

This Course Includes

  • iconudemy
  • icon4.6 (2.7K reviews )
  • icon8h 21m
  • iconenglish
  • iconOnline - Self Paced
  • iconprofessional certificate
  • iconUdemy

About Docker - Hands On for Java Developers

Important:

This course requires you to download and install Docker Desktop. If you are accessing this course through

Udemy Business

, please check with your employer before proceeding with the installation to ensure compliance with your company’s policies and security guidelines. This is an excellent course for

Java developers

who want to start using

Docker

in their projects. Whether you're new to containerization or looking to solidify your understanding, this course will guide you through the essentials in a clear and practical way. Throughout the course, you’ll be working with a real-world

Microservice architecture

built using

Spring Boot

. You will gain hands-on experience deploying applications as

Docker Containers

and learn how to manage them efficiently. We’ll cover the fundamental concepts of Docker, including

Images, Containers, Volumes, and Networking

. The course avoids unnecessary complexity and instead focuses on real-world examples that closely resemble the kind of work you’ll be doing in a professional environment. You'll also learn how

Docker Compose

simplifies running multi-container applications on your local development machine with ease. For those interested in cloud deployment, an optional section towards the end of the course will show you how to run the final system on

AWS

using

Docker Swarm

for scalability.

What You Will Learn?

  • Use Docker on production quality Java systems. .
  • Distribute systems across multiple nodes in a cluster .
  • Publish your own images on DockerHub .
  • Know the differences between images and containers .
  • Build your own containers from Dockerfiles .
  • Integrate Docker into your build process.