Docker and Kubernetes: The Complete Guide (Udemy.com)
Build, test, and deploy Docker applications with Kubernetes while learning production-style development workflows
Created by: Stephen Grider
Produced in 2021
What you will learn
- Learn Docker from scratch, no previous experience required
- Master the Docker CLI to inspect and debug running containers
- Build a CI+ CDpipeline 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!
Quality Score
Overall Score : 92 / 100
Course Description
CI+CDWorkflows? You will learn it.
AWSDeployment? Included.
Kubernetes inProduction? 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 CLIcommands. 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 +CDPipelinesOf 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 + CDworkflow 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 onAWS!
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 requiredBuild your own custom images tailored to your applicationsMaster the Docker CLI to inspect and debug running containersUnderstand how Docker works behind the scenes, and what a container isBuild a CI+ CDpipeline from scratch with Github, Travis CI, and AWSAutomatically deploy your code when it is pushed to Github!
Build a complex multi-container application from scratch and deploy it to AWSUnderstand the purpose and theory of KubernetesDeploy a production-ready Kubernetes Cluster to Google CloudWho this course is for:
Software engineers looking to deploy their apps easily and quickly
Instructor Details
- 4.6 Rating
300 Reviews
Stephen Grider
Stephen Grider has been building complex Javascript front ends for top corporations in the San Francisco Bay Area. With an innate ability to simplify complex topics, Stephen has been mentoring engineers beginning their careers in software development for years, and has now expanded that experience onto Udemy, authoring the highest rated React course. Heteaches on Udemy to share the knowledge hehasgained with other software engineers. Invest in yourself by learning from Stephen's published courses.
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