Download and Learn Cloud DevOps using Microsoft Azure Udacity Nanodegree Course 2023 for free with google drive download link.
Learn to develop and deploy cloud-based applications on Microsoft Azure, the cloud services platform used by 95% of Fortune 500 companies.
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What You’ll Learn in Cloud DevOps using Microsoft Azure Nanodegree
Cloud DevOps using Microsoft Azure
3 months to complete
Microsoft Azure is one of the most popular cloud services platforms used by enterprises, making it a crucial tool for cloud computing professionals to add to their skillset. The Cloud DevOps using Microsoft Azure Nanodegree 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 exam.
Cloud DevOps using Microsoft Azure Intro Video:
Intermediate Python, familiarity with Linux shell scripting and cloud concepts.
A well-prepared learner is already able to:
- Write and read code using Python with 1 or more years of experience, including knowledge of loops, if/then statements, data types, functions, classes, and objects
- Create a free-tier Azure account for this course, which requires a computer with command-line access, an up-to-date web browser, and an email address
- Demonstrate conceptual cloud skills
- Demonstrate basic Linux shell skills
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.
Project – Deploying a Web Server in Azure
One of the most common objects on the modern internet is the load-balanced web server. In this project, you will write infrastructure as code using Terraform and Packer to manage cloud infrastructure. With these infrastructure as code tools, you will first create a policy that ensures all indexed resources are tagged. Then, you will create a reusable Terraform module and Packer template for deploying a custom web server image. Lastly, you’ll use Packer to deploy your VM image and use Terraform to write the infrastructure configuration which uses this image to create a set of load balanced web servers.
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.
Project – Building a CI/CD Pipeline
Establishing a Continuous Integration/Continuous Delivery (CI/CD) pipeline is critical to enable high-quality customer service experiences in today’s digital world. In this project, you will build a Continuous Delivery pipeline that deploys a Flask Machine Learning application using Azure Pipelines to Azure App Services. First, you’ll use Github Actions along with a .txt file and application code to perform an initial lint, test, and install cycle on a machine learning application running in Flask in Azure App Services. Then, you’ll integrate Continuous Delivery using Azure Pipelines to deploy tested application changes automatically to production. Finally, you’ll test the prediction capability of your machine learning application deployed into production and build a demo screencast that demonstrates your proficiency in Continuous Delivery with Azure.
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.
Project – Ensuring Quality Releases
In order to ensure optimal performance and functionality, cloud applications must undergo continual testing and monitoring. In this project, you will use industry leading DevOps tools within Microsoft Azure and Terraform to create disposable test environments within a CI/CD pipeline and run a variety of automated tests with the click of a button. First, you’ll deploy an application to a test environment that automatically executes load, integration, and functional tests. Then you’ll view the ingested logs and data from these tests to determine where failures may have occurred. Finally, you’ll determine root causes by querying the application’s custom log files.
Azure-related job growth is projected to hit almost 40% over the next decade.
Cloud DevOps using Microsoft Azure Nanodegree Free Download Link: