Gain insights into DevOps in Azure, delve into configuration management, CI/CD, and Infrastructure as Code. Explore tools like GitHub and Kubernetes through hands-on projects to become a DevOps professional.

admintodevops.tar.gz

Username

Password

AZURE_SUBSCRIPTION_ID

AZURE_CLIENT_ID

AZURE_SECRET

AZURE_TENANT

Git_Email

Git_Name

Azure

Ansible

Chrome

vscode 

Azure-VM

Terraform

az-boards

azure-instances

azure-pipelines

Docker

This course is for anyone in IT or software engineering who wants to learn more about DevOps and, specifically, how to follow DevOps practices in Azure. Whether you’re a system administrator, engineer, developer, or IT manager, this course will help you understand what it takes to deliver more value to customers with DevOps.

You will dive into concepts like configuration management, continuous integration/continuous delivery, and Infrastructure as Code. You will learn the key tools used by DevOps professionals such as: the command line, Visual Studio Code, GitHub, Kubernetes, and more.

You will complete various projects throughout the course where each chapter’s project is designed in a step-by-step manner to walk you through using the tool just as you would in your daily life.

By the time you finish, you will have the foundations in place to become a DevOps professional.

The Complete Guide to DevOps in Azure

In this chapter project, you'll be starting from a common position many DevOps pros start with: a web application running in a containerized environment. No one knows the health of the application until customer service gets hammered with calls about the app being down. Because of this, you decide to move to Azure Container Instances ([ACI](https://docs.microsoft.com/en-us/azure/container-instances/container-instances-overview)) for creating Docker containers.


# Creating an Azure container instance

Since this project isn't going to be centered around monitoring, but improving a web application's reliability, let's first create an ACI for a web application. Container instances are a way to run Docker containers in the cloud. You can run any container image and specify the CPU and memory requirements of the application. For this project, you will be using an Nginx web application.

Open up your favorite code editor and paste in the following code. Be sure to replace `your_resource_group` with an Azure resource group of your choosing.

The Azure CLI snippet below is creating a single Docker container running the NGinx web server with a single CPU and 1GB of memory.

```powershell
az container create -g 'your_resource_group' `
                    --name 'nginx-web-app' `
                    --image 'nginx' `
                    --cpu 1 `
                    --memory 1
```

When the above command is finished, open up a web browser, and go to the [Container Instances blade](https://portal.azure.com/#blade/HubsExtension/BrowseResource/resourceType/Microsoft.ContainerInstance%2FcontainerGroups). You should see a Docker container running similar to the screenshot below. If so, you have successfully created a Docker container running NGinx.

Learn how to set up monitoring for a containerized Web application.