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Simplifying Azure DevOps Pipelines: Using Templates to Manage Parameters Easily

Автор: vlogize

Загружено: 2025-05-27

Просмотров: 0

Описание: Learn how to streamline your Azure DevOps yaml pipelines by using templates to manage solution parameters efficiently across multiple pipelines.
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This video is based on the question https://stackoverflow.com/q/66035015/ asked by the user 'silvermeru' ( https://stackoverflow.com/u/15140301/ ) and on the answer https://stackoverflow.com/a/66038646/ provided by the user 'Kevin Lu-MSFT' ( https://stackoverflow.com/u/13464420/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Using templates to pass paramters in an Azure Devops 2020 yaml pipeline

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Simplifying Azure DevOps Pipelines: Using Templates to Manage Parameters Easily

When working with Azure DevOps pipelines, it can often seem daunting to manage multiple configurations, especially when it comes to setting parameters for various solutions. In this post, we'll tackle a common problem: how to implement a yaml pipeline in Azure DevOps that allows you to set solution parameters once and then use them across multiple pipelines seamlessly. We’ll break down the process step by step, helping you efficiently manage your pipeline configurations.

The Challenge

You may find yourself in a situation where you have multiple .yml files for each pipeline, making maintenance difficult. One user wanted to know if there was a way to condense this setup to have just one .yml file per pipeline while still abstracting out the solutions into a shared file. Let’s explore the solution.

Proposed Solution

To streamline pipeline management, you can use a central template to define your solutions while keeping your build configurations clean and straightforward. Here’s how you can do it:

Step 1: Create the Central Template File

You will need to create a new template file, let’s call it BuildAndSolution.yml. This file will include the definitions for the solutions in an object format.

Example of BuildAndSolution.yml:

[[See Video to Reveal this Text or Code Snippet]]

Step 2: Reference the Template in Your Main Pipeline File

Now that you have your solution file set up, it's time to call this template in your main pipeline file. Below is how your azure-pipelines.yml should be structured:

Example of azure-pipelines.yml:

[[See Video to Reveal this Text or Code Snippet]]

This structure allows you to utilize the same BuildAndSolution.yml across any number of Azure DevOps pipelines you may have.

Important Considerations

While this setup simplifies your pipeline management, there are some limitations to keep in mind:

Object Parameter Constraints: The format to define object-type parameters cannot be directly used when defining other parameter formats; it needs to depend on another template.

Templating Restrictions: You cannot define parameters in a template file without including build steps, as this is only supported by variables. Thus, you need to ensure the parameters field is correctly structured to allow for streamlined access in your main YAML.

Conclusion

By using templates to pass parameters in your Azure DevOps pipelines, you can significantly reduce the complexity of managing multiple YAML configurations. This approach not only provides clarity but also increases efficiency when deploying and managing various solutions.

For further assistance or to dive deeper into Azure DevOps, feel free to explore additional resources or share your questions. Happy coding!

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