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As I understand that, you have three Azure Data Factory instances: Dev ADF, Stg ADF, and Prod ADF. The Dev ADF is connected to a Git repository with the following branching strategy for feature development: Feature branch → Stg branch (collaboration) → Publish to stg_adf_publish → Deploy to Stg ADF for QA → Deploy to Prod ADF after QA → PR from Stg to Main (golden copy). For hot fixes, you use a separate Release ADF in the Stg environment, connected to the same Git repository, with Main as the collaboration branch and prd_adf_publish as the publish branch.
According to the above scenario, please follow the below mentioned approach that might help you:
- To keep things consistent and avoid mistakes, you should follow this branching strategy: For feature development, start by creating a feature branch and then merge it into the staging branch. Publish the changes to the stg_adf_publish branch and deploy to the staging ADF for QA. After successful QA, create a pull request from the stg branch to the main branch and then deploy to the production ADF through the prd_adf_publish branch. For hot fixes, create a fix branch from the main branch, merge it into the stg branch, perform QA in the staging ADF, and then merge the stg branch back into the main branch before deploying to production through the prd_adf_publish branch. This ensures that the main branch is always updated after successful QA in the staging environment.
- To prevent issues with parameters across different environments, you should use parameter files or environment-specific configuration files. Create separate parameter files for each environment, such as parameters.dev.json, parameters.stg.json, and parameters.prod.json. During deployment, reference these files to ensure the correct parameters are used. Additionally, use environment-specific branches for configuration files and make sure that merges do not overwrite environment-specific settings by using merge strategies that preserve these files.
- To maintain the integrity of publish_config.json across different environments, store this file in environment-specific branches. Use a script or automation tool to ensure the correct publish_config.json is used during deployments. Implement merge strategies that prevent publish_config.json from being overwritten during merges, and use Git attributes to define how specific files should be merged.
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