diff --git a/template/{{.input_root_dir}}/.azure/devops-pipelines/README.md.tmpl b/template/{{.input_root_dir}}/.azure/devops-pipelines/README.md.tmpl index caaef993..88a7b527 100644 --- a/template/{{.input_root_dir}}/.azure/devops-pipelines/README.md.tmpl +++ b/template/{{.input_root_dir}}/.azure/devops-pipelines/README.md.tmpl @@ -1,5 +1,5 @@ # CI/CD Workflow Definitions -This directory contains CI/CD workflow definitions using [Azure DevOps Pipelines](https://azure.microsoft.com/en-gb/products/devops/pipelines/), +This directory contains CI/CD workflow definitions using [Azure DevOps Pipelines](https://learn.microsoft.com/en-us/azure/devops/pipelines), under ``devops-pipelines``. These workflows cover testing and deployment of both ML code (for model training, batch inference, etc) and Databricks ML resource definitions. diff --git a/template/{{.input_root_dir}}/README.md.tmpl b/template/{{.input_root_dir}}/README.md.tmpl index d801df7a..b045bdca 100644 --- a/template/{{.input_root_dir}}/README.md.tmpl +++ b/template/{{.input_root_dir}}/README.md.tmpl @@ -20,7 +20,7 @@ This project contains the following components: | ML Code | Example ML project code, with unit tested Python modules and notebooks | | ML Resources as Code | ML pipeline resources (training and batch inference jobs with schedules, etc) configured and deployed through [databricks CLI bundles]({{ template `generate_doc_link` (map (pair "cloud" .input_cloud) (pair "path" "dev-tools/cli/bundle-cli.html")) }}) | {{- end }} -| CI/CD | {{ if (eq .input_cicd_platform `github_actions`) }}[GitHub Actions](https://github.com/actions) workflows to test and deploy ML code and resources {{ else if (eq .input_cicd_platform `azure_devops`) }}[Azure DevOps Pipelines](https://azure.microsoft.com/en-gb/products/devops/pipelines/) to test and deploy ML code and resources{{ end }} | +| CI/CD | {{ if (eq .input_cicd_platform `github_actions`) }}[GitHub Actions](https://github.com/actions) workflows to test and deploy ML code and resources {{ else if (eq .input_cicd_platform `azure_devops`) }}[Azure DevOps Pipelines](https://learn.microsoft.com/en-us/azure/devops/pipelines) to test and deploy ML code and resources{{ end }} | contained in the following files: