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<h1>Microsoft devops</h1>
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<h1>Become a DevOps Engineer for Microsoft Azure</h1>

<h6>Estimated Time</h6>
<h5>3 months</h5>
<p>At 5-10 hours/week</p>
<h6>Enroll by</h6>
<p>Get access to the classroom immediately on enrollment</p>
<h6>Prerequisites</h6>
<h5>Intermediate Python, familiarity with Linux shell scripting and cloud concepts</h5>
<p>In Collaboration With</p>
<h4>What You Will Learn</h4>
<h6>SYLLABUS</h6>
<h2>DevOps Engineer for Microsoft Azure</h2>
<p>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 DevOps Engineer for Microsoft Azure Nanodegree program teaches students how to deploy, test, and monitor cloud applications on Azure, thereby preparing learners for success on MicrosoftРІ??s AZ-400 DevOps Engineer Expert certification exam.</p>
<p>The DevOps Engineer for Microsoft Azure Nanodegree program teaches students how to deploy, test, and monitor cloud applications on Azure, one of the most popular cloud services platforms.</p>
<p>3 months to complete</p>
<h6>Prerequisite Knowledge</h6>
<p>Intermediate Python, familiarity with Linux shell scripting and cloud concepts. See detailed requirements.</p>
<h4>Azure Infrastructure Operations</h4>
<p>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.</p>
<p>Deploying a Web Server in Azure</p>
<h4>Agile Development with Azure</h4>
<p>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.</p>
<p>Building a CI/CD Pipeline</p>
<h4>Ensuring Quality Releases (Quality Assurance)</h4>
<p>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.</p>
<h2>Microsoft devops</h2>

<h3>Microsoft devops</h3>
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<h4>Microsoft devops</h4>
Our new DevOps Engineer for Microsoft Azure online course will teach you how to develop and deploy cloud-based applications on Microsoft Azure. Learn online with Udacity.
<h5>Microsoft devops</h5>
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SOURCE: <h6>Microsoft devops</h6> <a href="https://dev-ops.engineer/">Microsoft devops</a> Microsoft devops
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