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This course was ranked in the Top 100 of the best courses on Udemy, within a catalog of more than 135.000 courses.
If you're tired of spinning your wheels to learn how to implement web applications, this is the course for you.
CI + CD workflows? You will learn it.
AWSDeployment? Included.
Kubernetes in production? Of course! This is the definitive course to learn how to implement any web application you can imagine.
Docker and Kubernetes are the newest technology in the world of Dev Ops and have dramatically changed the flow of building and deploying web applications.
Docker is a technology that allows applications to run in constructs called 'containers', while Kubernetes allows many different 'containers' to run in coordination.
Docker from scratch! In this course, you'll learn Docker from the absolute basics, starting with learning the answers to basic questions like "What is a container?" and "How does a container work?".
From the very first lectures, we'll take a deep dive into the inner workings of containers, so you get a basic understanding of exactly how they're implemented.
Once you understand what a container is, you'll learn how to work with it using basic Docker CLI commands.
After that, you'll apply your new Docker CLI domain to create your own custom images, effectively 'Dockerizing' your own personal applications.
CI + CDPipelines Of course, no Docker course would be complete without a thorough understanding of common continuous integration and continuous deployment patterns.
You'll learn how to implement a complete 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.
Multiple container deployments on AWS! After you create a deployment pipeline, you'll apply it to master single-container and multi-container deployments to Amazon Web Services.
You'll build a multi-container application using Node, React, Redis, and Postgres, and see the incredible power of containers in action (Note: All Javascript coding in this course is optional, full source code is provided if you don't want to). write JS).
Kubernetes! Finally, you'll tackle Kubernetes, a production-grade system for managing complex applications with many different running containers.
You will learn the correct way to create a Kubernetes cluster.
This course doesn't have any of those annoying "don't do this in production" comments! First, you'll create a Kubernetes cluster on your local machine, and finally move it to a cloud provider.
You'll even learn how to configure HTTPS in Kubernetes, which is harder than it sounds! Here's what you'll do: Learn Docker from scratch, no prior 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 line from scratch with Github, Travis CI, and AWS Automatically deploy your code when it's pushed to Github! Build a complex multi-container application from scratch and deploy it on AWS Understand the purpose and theory of Kubernetes Deploy a production-ready Kubernetes cluster on Google Cloud No prior experience required Build your own custom images tailored to your applications Master the Kubernetes CLI Docker for inspecting and debugging running containers Understand how Docker works behind the scenes and what a container is Build a CI+ CDpipeline from scratch with Github, Travis CI, and AWS Automatically deploy your code when it's pushed to Github! Build a complex multi-container application from scratch and deploy it on AWS Understand the purpose and theory of Kubernetes Deploy a production-ready Kubernetes cluster on Google Cloud No prior experience required Build your own custom images tailored to your applications Master the Kubernetes CLI Docker for inspecting and debugging running containers Understand how Docker works behind the scenes and what a container is Build a CI+ CDpipeline from scratch with Github, Travis CI, and AWS Automatically deploy your code when it's pushed to Github! Build a complex multi-container application from scratch and deploy it on AWS Understand the purpose and theory of Kubernetes Deploy a production-ready Kubernetes cluster on Google Cloud
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