ssakarim / containerization-with-docker-and-kubernetes-in-azure

Containerization with Docker and Kubernetes in Azure, Published by Packt

Containerization with Docker and Kubernetes in Azure [Video]

This is the code repository for Containerization with Docker and Kubernetes in Azure [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.

About the Video Course

From handling versioning efficiently, to enhancing security and portability, technologies such as Docker and Kubernetes have greatly benefitted application development and cloud deployments. Microsoft offers excellent containerization services with its Azure Container Services, and also supports both Docker and Kubernetes.

The course focuses on application containerization using a combination of the dynamic duo, Docker and Kubernetes. It will show you how to get hands-on and take advantage of these two tools, alongside Azure Container Services, and improve the configuration and deployment of your applications on Azure Cloud.

By the end of this course, you'll learn all about Docker and Kubernetes and will be able to configure, manage, and deploy applications on Azure Cloud.

The code bundle for this video course is available at - https://github.com/PacktPublishing/Containerization-with-Docker-and-Kubernetes-in-Azure

What You Will Learn

• Plan, configure, and run your first containerized applications in production
• Build apps in containers using Docker and deploy them on Kubernetes
• Improve the configuration and deployment of applications on Azure Cloud
• Create your Azure Container Registry to securely store your container images
• Manage Kubernetes application complexity with Helm
• Deploy and add new applications to your Azure Container Service (AKS) using kubectl

Instructions and Navigation

Assumed Knowledge

DevOps engineers, architects, and developers who are interested in learning all about Docker and Kubernetes, to practically configure, manage and deploy applications on Azure Cloud, will benefit from this course.

Technical Requirements

This course has the following software requirements:
Docker
Browser: Google Chrome
Azure CLI
kubectl
VSCode

For an optimal experience with hands-on labs and other practical activities, we recommend the following configuration: OS: Linux, MacOS, Windows
Processor: 3.2Ghz
Memory: 16Gb
Storage: 500Gb

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