Cloud DevOps using Microsoft Azure

Welcome to the DevOps Engineer for Microsoft Azure Nanodegree program! In this lesson, you will learn more about the structure of the program and meet your instructors.

You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.

Instructions to set up an Azure Account for this program

In this lesson, we'll get an overview of the course and look at some of the fundamental concepts we need to understand why DevOps and infrastructure are so important.

In this lesson we'll cover Azure infrastructure fundamentals, including IaaS resource types, deploying virtual machines, and virtual networking and load balancing.

This lesson is all about Azure security, including using Azure Security Center, writing Azure security policies, configuring network security groups, and applying security best practices.

In this lesson, we'll learn how to write Infrastructure as Code. We'll learn how to use Packer to deploy image templates, and how to use Terraform to deploy resources using infrastructure as code.

In your final project, you'll create infrastructure as code—in the form of a Terraform template—in order to deploy a website with a load balancer.

In this lesson, we'll consider the underlying problems that Agile solves for and introduce you to some of the core concepts and tools underlying the Agile approach.

In this lesson, we'll see how we can use an Agile approach to help ensure we're working on what matters—and avoiding typical problems that get in the way of software development.

In this lesson, we'll look at how to use Azure to do Continuous Integration (CI). We'll walk through how to set up Azure Cloud Shell and evaluate different build server options.

In this lesson, we'll look at how to leverage infrastructure automation in your development lifecycle so that we can achieve Continuous Delivery (CD).

In your final project, you'll integrate an Azure Cloud Shell environment and use it to build, test, deploy, and operationalize a Machine Learning project. This project uses Flask and sklearn.

Course Overview

In this lesson, we will learn to use Terraform to deploy an Azure Resource and a CI/CD pipeline to execute an automated test.

In this lesson, you will learn how to create a performance test suite and use JMeter to execute it.

In this lesson you will learn how to use Selenium to write automated functional UI tests.

In this lesson, you will learn how to use Postman to write automated integration tests.

In this lesson, you will learn how to configure an alert on an Azure resource and configure Azure Log Analytics to ingest a custom log file.

This is the end-of-course project, where you will have a chance to pull all the skills together as you would in the regular work of an Azure DevOps Engineer.