Build, test, and deploy Docker applications with Kubernetes while learning production-style development workflows
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
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
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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. He teaches on Udemy to share the...
Overall, excellent for beginners or people who have some Docker knowledge. The K8S section gives a great base to build from using other dev/CI tools, though I would have liked to have seen a brief overview of daemonsets, statefulsets as opposed to replicasets etc. Also, a section on monitoring I think should be a must, as everyone wants Prometheus + Grafana these days.
Some parts should really be re-recorded as they are so old, the course is relying on old versions of tools (skaffold requires the manifest files to be outside of the kubectl section now for example, and this isn't even on the extra document) and TravisCI is no longer free, whereas github actions are. Troubleshooting on my own taught me stuff in its own right, so I don't mind, but still...
Stephen is a great instructor, love all of his courses. Wish I had his skills in teaching others.
This course teaches so much. Not only does it teach about Docker and Kubernetes, but it teaches about many supporting technologies like CICD, Helm, and Skaffold.
However, there is a downside. So much has changed since the course was recorded, that I struggled with making the projects work. There were plenty of instructions and workarounds, but I spent at least another 10 hours on actually making things work.
Requires using dated tool versions and image versions. Too many "update notes" spoiling the flow of the course. Too disjointed as a result. Probably a good course originally but Udemy specifying this course last updated Nov 2024 is misleading - it's just loads of side notes to read which becomes frustrating. The actual video content has not been updated.
Excelent content and very well explained all for free
excellent course thank you Stephen
Thank you for the wonderful session ....
It gives me more understanding on how the docker works and some other cloud topics as well.
Great information, very complete examples and real world implementations. Thank you!
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Sumit
Very good pace and great explanation. Clear instructions which are easy to understand.