Docker And Kubernetes: The Complete Guide
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Free Download Docker And Kubernetes: The Complete Guide
Build, test, and deploy Docker applications with Kubernetes while learning production-style development workflows
What youâll learn
- Learn Docker from scratch, no previous experience required
- Master the Docker CLI to inspect and debug running containers
- Build a CIÂ + CDÂ 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!
- 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 youâre 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 âcontainersâ, while Kubernetes allows for many different âcontainersâ to run in coordination.
Docker from Scratch!
In this course youâll learn Docker from absolute fundamentals, beginning by learning the answer to basic questions such as âWhat is a container?â and âHow does a container work?â. 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, youâll learn how to work with them using basic Docker CLI commands. After that, youâll apply your new-found mastery of the Docker CLI to build your own custom images, effectively âDockerizingâ your own personal applications.
CI +Â CDÂ 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, youâll 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 donât 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 â this course doesnât have any of those annoying âdonât do this in productionâ comments! You will first build a Kubernetes Cluster on your local machine, then eventually move it over to a cloud provider. Youâll even learn how to set up HTTPS on Kubernetes, which is harder than it sounds!
Hereâs what youâll 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
- Software engineers looking to deploy their apps easily and quickly
Created by Stephen Grider
Last updated 3/2020
English
English [Auto-generated]
Size: 11.71 GB
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