ARM Deployment considerations for Azure Data Factory

I believe that adopting a DevOps culture in an organization is crucial for reducing failures in new deployments, updating solutions frequently, and improving deployment time. However, implementing DevOps processes also requires trust and responsibility, especially when it comes to elevated access to perform actions in an environment.

In the context of Azure Data Factory (ADF), it is essential to be aware of the potential dangers of using the "Complete mode" option when deploying changes through the ARM Template Deployment task. This option can cause resources not defined in the ARM template to be deleted, which can be disastrous.

To prevent this from happening, I recommend either locking or adding a policy in the resource group to avoid deletion, or locking your resources to protect your infrastructure. Additionally, integrating Infrastructure as Code (IaC) can help mitigate this risk by fully defining environments and components in IaC so that they can be quickly recreated for testing or Disaster Recovery purposes.

Other general considerations include testing things in multiple environments before deployment, as well as having a plan for https://www.easeus.com/datarecoverywizard/recover-deleted-files.htm from the beginning, including testing deployments in environments and having ways to recreate your environment.

In summary, while adopting a DevOps culture can bring significant benefits, it's important to be aware of the potential risks and take steps to mitigate them. By following these recommendations, you can help ensure that your deployments are secure, reliable, and efficient.