Seeking the thrill of transformative tech? Explore the art of designing and implementing DevOps solutions on Azure. Master the shift towards CI/CD, testing, and delivery, while preparing for the Designing and Implementing Microsoft DevOps Solutions exam!
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Pipeline design in Azure DevOps ensures that deployments happen in a reliable order, which is critical when one component, like a web app, needs another component, like a database, to be ready first. To achieve this, you must configure your pipeline to understand and manage these relationships, so that dependent components are deployed in the correct sequence every time.
The first step is to analyze how the different parts of your application depend on each other. You need to create a map or list that shows which components must be deployed before others can start. This process involves identifying the critical paths in your deployment. For example, a database must be available before the web application that uses it can be deployed. Understanding these relationships is the foundation for designing a pipeline that won't fail due to missing dependencies.
To automate the start of deployments, you configure triggers based on artifacts or resources. An artifact trigger can automatically begin a release pipeline whenever a new build is produced. A resource trigger starts a deployment when a specific dependent resource, like a resource group or a key vault, becomes available or is updated. These triggers help ensure that deployments only proceed when the necessary building blocks are in place.
The order of operations in a pipeline is explicitly controlled using the dependsOn attribute in the YAML definition. You use dependsOn to tell a stage or job that it must wait for another specific stage or job to finish successfully before it can begin. This creates a clear, sequential flow. Furthermore, you can add deployment conditions and gates to this flow. Conditions let you run a job only if certain criteria are met, while approval gates insert a manual or automated checkpoint that must be passed before the deployment can continue, adding another layer of control to the sequence.
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