DevOps Engineer for Microsoft Azure v1.0.0

Nanodegree key: nd082

Version: 1.0.0

Locale: en-us

This program teaches students how to deploy, test, and monitor cloud applications on Azure, thereby preparing learners for success on Microsoft’s AZ-400 DevOps Engineer Expert certification.

Content

Part 01 : Welcome to the DevOps Engineer for Microsoft Azure Program

Welcome to Udacity! We're excited to share more about your nanodegree and start this journey with you!
In this course, you will learn more about the pre-requisites, structure of the program, and getting started!

Module 01: Welcome to the DevOps Engineer for Microsoft Azure Program
- Lesson 01: DevOps Engineer for Microsoft Azure Program Introduction
  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.
- Lesson 02: Knowledge, Community, and Careers
  You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.
- Lesson 03: Getting Started: Azure Setup
  Instructions to set up an Azure Account for this program
  - Concept 01: Azure Account Setup
  - Concept 02: Cost Management in Azure

Part 02 : Azure Infrastructure Operations

In modern deployments, automated deployment and management of cloud infrastructure is crucial for ensuring the high uptimes that customers expect. Understand the DevOps lifecycle and the basics of infrastructure management in Microsoft Azure. Learn about cloud security best practices to keep infrastructure secure. Leverage modern technologies to create robust and repeatable deployments in Microsoft Azure.

Module 01: Azure Infrastructure Operations
- Lesson 01: Introduction to DevOps & Infrastructure
  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.
- Lesson 02: Azure Infrastructure Fundamentals
  In this lesson we'll cover Azure infrastructure fundamentals, including IaaS resource types, deploying virtual machines, and virtual networking and load balancing.
- Lesson 03: Azure Security Best Practices
  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.
- Lesson 04: Infrastructure as Code
  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.
- Lesson 05: Deploying a Web Server in Azure
  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.
  
  Project Description - Deploying a Web Server in Azure
  
  Project Rubric - Deploying a Web Server in Azure

Part 03 : Agile Development with Azure

Automated Deployment of high quality software using DevOps principles is a critical skill in the cloud era.
Master the theory and practice of Agile Project management with hands-on examples. Execute a Python centric Continuous Integration strategy that uses testing best practices, including open source code quality tools such as pylint and pytest. Couple Infrastructure-as-Code (IaC) with Continuous Delivery using Azure Pipelines to streamline the deployment of applications to Azure.

Module 01: Agile Development with Azure
- Lesson 01: Introduction to Agile Development with Azure
  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.
- Lesson 02: Agile Planning and Communication
  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.
- Lesson 03: Continuous Integration
  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.
- Lesson 04: Continuous Delivery
  In this lesson, we'll look at how to leverage infrastructure automation in your development lifecycle so that we can achieve Continuous Delivery (CD).
- Lesson 05: Building a CI/CD Pipeline
  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.
  
  Project Description - Building a CI/CD Pipeline
  
  Project Rubric - Building a CI/CD Pipeline

Part 04 : Ensuring Quality Releases (Quality Assurance)

Applications that have been built and released into the cloud need to be evaluated to ensure proper performance. Test cloud-based application performance and functionality within the pipeline itself, as well as after it has been deployed by using different types of test suites such as Selenium and Postman. Exercise those test suites against a variety of endpoints, including a sample eCommerce UI, and REST APIs. Build a systemic application monitoring process based on alert triggers in Azure Monitor and custom log files in Azure Log Analytics.

Module 01: Ensuring Quality Releases (Quality Assurance)
- Lesson 01: Intro to Ensuring Quality Releases
  Course Overview
- Lesson 02: Creating and Deploying Azure Cloud Infrastructure
  In this lesson, we will learn to use Terraform to deploy an Azure Resource and a CI/CD pipeline to execute an automated test.
- Lesson 03: Performance Testing
  In this lesson, you will learn how to create a performance test suite and use JMeter to execute it.
- Lesson 04: Functional UI Testing with Selenium
  In this lesson you will learn how to use Selenium to write automated functional UI tests.
- Lesson 05: Integration Testing with Postman
  In this lesson, you will learn how to use Postman to write automated integration tests.
- Lesson 06: Azure Observability
  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.
- Lesson 07: Ensuring Quality Releases Project
  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.
  
  Project Description - Ensuring Quality Releases
  
  Project Rubric - Ensuring Quality Releases

Part 05 : Career Services

The Careers team at Udacity is here to help you move forward in your career - whether it's finding a new job, exploring a new career path, or applying new skills to your current job.

Module 01: Career Services
- Lesson 01: Take 30 Min to Improve your LinkedIn
  Find your next job or connect with industry peers on LinkedIn. Ensure your profile attracts relevant leads that will grow your professional network.
  
  Project Description - Improve Your LinkedIn Profile
  
  Project Rubric - Improve Your LinkedIn Profile
- Lesson 02: Optimize Your GitHub Profile
  Other professionals are collaborating on GitHub and growing their network. Submit your profile to ensure your profile is on par with leaders in your field.
  
  Project Description - Optimize Your GitHub Profile
  
  Project Rubric - Optimize Your GitHub Profile

Part 06 : Next Steps

In this part, you'll find info about registering for an AZ-400 Certification exam.

Module 01: Next Steps
- Lesson 01: Next Steps
  In this lesson, you'll find info about registering for an AZ-400 Certification exam.
  - Concept 01: Next Steps