Docker and Kubernetes: The Complete Guide

Docker and Kubernetes: The Complete Guide

Created by Stephen Grider



Last updated 7/2019



English



English [Auto-generated]



Size: 11.80 GB



https://www.udemy.com/docker-and-kubernetes-the-complete-guide/

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



What Will I Learn?



Learn Docker from scratch, no previous experience required



Master the Docker CLI to inspect and debug running containers



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



Understand the purpose and theory of Kubernetes by building a complex app



Automatically deploy your code when it is pushed to Github!



Requirements



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



Description



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 ultimate course to learn how to deploy any web application you can possibly dream up. Docker and Kubernetes are the newest tech in the Dev Ops world, and have dramatically changed the flow of creating and deploying web apps. Docker is a technology that allows applications to run in constructs called ‘containers’, while Kubernetes allows for many different ‘containers’ to run in coordination.



Docker from Scratch!



In this course you’ll learn Docker from absolute fundamentals, beginning by learning the answer to basic questions such as “What is a container?” and “How does a container work?”. From the very first few lectures, we will do a deep dive on the inner workings of containers, so you get a core understanding of exactly how they are implemented. Once you understand what a container is, you’ll learn how to work with them using basic Docker CLI commands. After that, you’ll apply your new-found mastery of the Docker CLI to build your own custom images, effectively ‘Dockerizing’ your own personal applications.



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!



After building a deployment pipeline, you’ll apply it to master both single-container and multi-container deployments on Amazon Web Services. You will construct a multi-container application utilizing Node, React, Redis, and Postgres, and see the amazing power of containers in action (Note: all Javascript coding in this course is optional, the full source code is provided if you don’t want to write JS).



Kubernetes!



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 is the target audience?



Software engineers looking to deploy their apps easily and quickly