Cloud DevOps using Microsoft Azure

Overview

Embark on a comprehensive 12-week journey to master Cloud DevOps using Microsoft Azure. Delve into the DevOps lifecycle, Azure infrastructure management, and cloud security best practices. Learn to create robust, repeatable deployments in Azure, including deploying web servers. Explore Agile project management with hands-on examples and implement a Python-centric Continuous Integration strategy using tools like pylint and pytest. Combine Infrastructure-as-Code with Continuous Delivery using Azure Pipelines to streamline application deployment. Develop skills in testing cloud-based application performance and functionality within the pipeline and post-deployment, utilizing Selenium and Postman. Establish a systematic application monitoring process using Azure Monitor and Azure Log Analytics. Designed for those with intermediate Python skills, familiarity with Linux shell scripting, and cloud concepts, this course requires 5-10 hours of weekly commitment to transform you into a proficient Cloud DevOps practitioner.

Syllabus

Prerequisite Knowledge

Intermediate Python, familiarity with Linux shell scripting and cloud concepts.See detailed requirements.

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.
Deploying a Web Server in Azure
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.
Building a CI/CD Pipeline
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.
Ensuring Quality Releases