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Docker and Kubernetes: The Complete Guide
Build, test, and deploy Docker applications with Kubernetes while learning production-style development workflows
Created by Stephen Grider, offered on Udemy
To make sure that we score courses properly, we pay a lot of attention to the reviews students leave on courses and how many students are taking a course in the first place. This course has a total of 241427 students which left 47491 reviews at an average rating of 4.68. Impressive!
We analyze course length to see if courses cover all important aspects of a topic, taking into account how long the course is compared to the category average. This course has a length of 22 hours 13 minutes, which is pretty short. This might not be a bad thing, but we've found that longer courses are often more detailed & comprehensive. The average course length for this entire category is 4 hours 59 minutes.
This course currently has a bestcourses score of 9.4/10, which makes it a great course to learn from. On our entire platform, only 15% of courses achieve this rating!
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!
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
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 + 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!
- 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