ARM / Bicep template development just by hand?

This page summarizes the projects mentioned and recommended in the original post on /r/AZURE

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  • azure-quickstart-templates

    Azure Quickstart Templates

  • You can use quick start templates (https://github.com/Azure/azure-quickstart-templates/) as a starting point, but not all examples are bicep ready yet. But those can be easily converted to bicep.

  • ResourceModules

    This repository includes a CI platform for and collection of mature and curated Bicep modules. The platform supports both ARM and Bicep and can be leveraged using GitHub actions as well as Azure DevOps pipelines.

  • What I found is that using the Resource Modules (https://github.com/Azure/ResourceModules) repo is the best approach. It simplifies the authoring quite a lot in my opinion. And every module on the repo is bicep. But since the modules are created by Microsoft/the community, not every resource or service has a ready module. I have been using it for the last 6-8 months, and find it covers 90% of my scenarios. And each module is quite well documented, but in some cases you have to study the module to figure out the required inputs.

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  • AzDocs

  • You can use many "prefab", bicep Templates, the one I use, and is maintained by the organization I work for: https://github.com/AzDocs/AzDocs They are mostly based on existing Bicep Templates, but somewhat hardened. I would recommend to use one big Bicep Template, but use a deployment per Resource.

  • bicep-registry-modules

    Bicep registry modules

  • As you point out, it is another layer of abstraction that can make it more complex. Specifically it will add a pain point with the replication of the modules from /ResourceModules to the private repo. (I dont have a good solution for that at the moment) Microsoft has a public container registry (https://github.com/Azure/bicep-registry-modules) that someday may be updated to contain everything in /ResourceModules

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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