Azure DevOps Pipeline

Azure Pipelines is a cloud service designed to automatically build and test code projects. It offers robust capabilities for continuous integration (CI) and continuous delivery (CD), enabling teams to consistently and regularly test, build, and ship their applications to various targets.

Key Advantages of Azure DevOps Pipelines

1. Version Control System Integration:
   • Azure Pipelines integrates seamlessly with several version control systems, including:
     • GitHub
     • GitHub Enterprise
     • Azure Repos (both Git and TFVC)
     • Bitbucket Cloud
     • Subversion
2. Support for Various Languages and Application Types:
   • Azure Pipelines can be used with most programming languages and application types, such as:
     • Java
     • JavaScript
     • Node.js
     • Python
     • .NET
     • C++
     • Go
     • PHP
     • Xcode
3. Multiple Deployment Targets:
   • You can deploy your code to various targets, including:
     • Container registries
     • Virtual machines
     • Azure services
     • Any on-premises or cloud environment

Azure DevOps Pipeline Concepts

• Pipeline: A workflow that defines the steps for testing, building, and deploying applications.
• Stage: A logical boundary within a pipeline that separates concerns. Each stage can contain one or more jobs.
• Job: A set of steps that run on an agent. Each job represents an execution boundary.
• Step: The smallest building block of a pipeline, which can be either a script or a pre-defined task.
• Agent and Agent Pools: An agent is software that runs one job at a time. Agents are organized into agent pools for easier management.
• Artifact: A collection of files or packages published by a run, available for subsequent tasks like distribution or deployment.
• Trigger: Configurations that determine when a pipeline should run (e.g., on a push to the repository, at scheduled times).
• Environment: A collection of resources (virtual machines, containers, web apps, etc.) where your application is deployed.
• Checks: A set of validations that must be met before a deployment can proceed.
• Runs: Represents a single execution of a pipeline, collecting logs and results from running steps and tests.

Publishing an ARM Deployment Project into Azure DevOps Repos and Deploying Using Pipeline

Step-by-Step Guide

1. Access Azure DevOps:
   • Go to your Azure DevOps project and click on Pipelines. Then click on the New pipeline button.
2. Use the Classic Editor:
   • Click on the Use the classic editor link at the bottom.
3. Select Project and Repository:
   • Choose the project and repository where you want to create the pipeline, then click Continue.
4. Create an Empty Job:
   • Click on the Empty job link to create a new job.
5. Add a Task for Building:
   • Click on the Add button on the Agent job 1 section, type in Resource group, and then click on the Azure Resource Group Deployment task to add it.
6. Configure Azure Deployment Settings:
   • Select the Azure subscription you want to deploy to, choose the resource group, and specify what you want to deploy in JSON format.
7. Select Template from Repository:
   • Choose the appropriate template from your repository.
8. Select Parameters File:
   • Specify the parameters file that you will use for your deployment.
9. Save and Queue the Deployment:
   • Click on Save & Queue. The deployment process will start, and it may take some time to complete.
10. Verify Deployment Completion:

• Once the process is done, you will see a confirmation that the build has completed successfully