Azure / caf-terraform-landingzones-accelerator

Starter project for Applications (level 4) Cloud Adoption Framework for Azure landing zones on Terraform
MIT License
205 stars 233 forks source link

Gitter

Cloud Adoption Framework landing zones for Terraform - Application accelerator

Microsoft Cloud Adoption Framework for Azure provides you with guidance and best practices to adopt Azure.

A landing zone is a segment of a cloud environment, that has been preprovisioned through code, and is dedicated to the support of one or more workloads. Landing zones provide access to foundational tools and controls to establish a compliant place to innovate and build new workloads in the cloud, or to migrate existing workloads to the cloud. Landing zones use defined sets of cloud services and best practices to set you up for success.

:rocket: Getting started

When starting an enterprise deployment, we recommend you start creating a configuration repository where you craft the configuration files for your environments.

The best way to start is to clone the platform starter repository and getting started with the configuration files. This repository helps you create the level 4 - applications in the CAF Terraform model.

We recommend that you review the documentation: :books: Read our centralized documentation page

Community

Feel free to open an issue for feature or bug, or to submit a pull request.

In case you have any question, you can reach out to tf-landingzones at microsoft dot com.

You can also reach us on Gitter

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

Code of conduct

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.