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Docker and Kubernetes The Complete Guide Download

Build, test, and deploy Docker applications with Kubernetes while learning production-style development workflows

Advanced 0(0 Ratings) 36 Students enrolled
Created by Editiorial Team Last updated Sun, 26-Apr-2020 English


Docker and Kubernetes The Complete Guide Download Free Tutorial Download

What will i learn?
  • Master the Docker CLI to inspect and debug running containers
  • Learn Docker from scratch, no previous experience required
  • Understand the purpose and theory of Kubernetes by building a complex app
  • Build a CI + CD pipeline from scratch with Github, Travis CI, and AWS

Curriculum for this course
1 Lessons 00:00:00 Hours
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1 Lessons 00:00:00 Hours
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  • Basic understanding of terminal and command line usage
  • No previous Docker or Kubernetes experience is required!
  • A credit card is required to deploy projects to AWS or Google Cloud
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If you're tired of spinning your wheels learning how to deploy web applications, this is the course for you.

CI+CD Workflows? You will learn it.  AWS Deployment? Included.  Kubernetes in Production? Of course!

This is the greatest lesson in developing every mobile application you might think of. The newest technologies in the Dev Operations environment, Docker and Kubernetes have radically changed the process of web app development and delivery. Docker is an application-enabling platform named 'containers' in cities, while Kubernetes allows many 'containers' to operate in synchronization.

Docker from Scratch!

You must study Docker from the fundamentals in this course, starting with learning to address questions like "What is a container?" and "What is the function of a container?." We'll have a deep look into the internal workings of containers from the very first few lessons, and you can know how exactly they operate. You know how to run with a container using simple Docker CLI commands until you grasp what it is. You will then be using the recently established mastery of Docker CLI to build your own custom photos to "dock" your own individual applications effectively.

CI + CD Pipelines

Of course, no course on Docker would be complete without a full understanding of common Continuous Integration and Continuous Deployment patterns.  You will learn how to implement a full CI + CD workflow using Github, Travis CI, and Amazon Web Services, creating a pipeline that automatically deploys your code every time you push your latest changes to Github!

Multi-Container Deployments on AWS!

You can use the pipeline to manage single and multiple installations in Amazon Cloud Services after creating a deployment pipeline. You will create a multi-container framework utilizing Node, React, Redis and Postgres, and can display the amazing database power in practice (note: the complete source code will be given if you do not want to write Or all Javascript coding in this course).


Finally, you will tackle Kubernetes, a production-grade system for managing complex applications with many different running containers.  You will learn the right way to build a Kubernetes Cluster - this course doesn't have any of those annoying "don't do this in production" comments!  You will first build a Kubernetes Cluster on your local machine, then eventually move it over to a cloud provider.  You'll even learn how to set up HTTPS on Kubernetes, which is harder than it sounds!

Here's what you'll do:

Learn Docker from scratch, no previous experience required

Build your own custom images tailored to your applications

Master the Docker CLI to inspect and debug running containers

Understand how Docker works behind the scenes, and what a container is

Build a CI + CD pipeline from scratch with Github, Travis CI, and AWS

Automatically deploy your code when it is pushed to Github!

Build a complex multi-container application from scratch and deploy it to AWS

Understand the purpose and theory of Kubernetes

Deploy a production-ready Kubernetes Cluster to Google Cloud

Who this course is for:

Software engineers looking to deploy their apps easily and quickly

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