Authentication based approach where the DI objects are reviewed and authenticated at every level to discard any unintended changes to get moved between different systems.Review of the DI objects when pushed for deployment to check its completeness and inform developers/object owners about it.Automatic deployment of DI pipelines and operators without any manual intervention.Implementation of CI/CD throughout Development, testing and Production phases of SAP DI development.Manual method of deploying DI objects is susceptible to human mistakes. Exporting and Importing files into Production systems are restricted in some of the client deployments.There is no SAP proprietary solution for deployment of SAP DI pipelines and operators using CI/CD approach.Since SAP DI doesn’t provide any proprietary tools for deployments as of the current DI version 2303.15.28. This document overviews about deployment life cycle management for SAP Data Intelligence using CI/CD methodology. launchdarkly/coderefs.yaml file for advanced configuration options, such as configuring custom delimiters and aliases for your flag keys.This is going to be my first blog on SAP Data Intelligence and quite excited about sharing with all my SAP colleagues/members working on this tool. In addition to inputs, you can skip searching files and directories using a. You can find additional configuration options at the bottom of the LaunchDarkly Code References marketplace page. You can configure find-code-references with additional inputs to enable more functionality. To investigate, review the action's logs to view any error messages. If the action fails, there may be a problem with your configuration. TroubleshootingĪfter you create the workflow, you can confirm that it's working correctly by creating a new pull request with the workflow file and verifying that the newly created action succeeds. Do not use an environment's SDK key, mobile key, or client-side ID for this purpose. You can find your project key on the Projects tab under Account settings, immediately following the project name. This is represented by YOUR_PROJECT_KEY in the above example. Include the LD_ACCESS_TOKEN as a secret, and include a new environment variable containing your LaunchDarkly project key. Code references will appear for this newly created branch.Īs shown in the example above, the workflow should run on the push event and contain an action provided by the launchdarkly/find-code-references repository. You do not need to have this branch merged into the main branch for code references to appear in the LaunchDarkly user interface (UI). Paste the following code in the Edit file section:Ĭode references are not blocked by PR approval github/workflows directory of your repository. If you don't already have a workflow file: Create a new file titled action.yml in the.If you already have an action.yml file: Copy and paste the launchDarkl圜odeReferences job declaration below into the jobs section in your action.yml file.Return to your GitHub repository to create a new Actions workflow.Paste in your access token to the field that appears and click Save secret.Navigate to Settings then Secrets and click Add a new secret.Log into GitHub and navigate to your repo.To learn more, read API access tokens and Code reference actions. The token must be stored as a repository secret titled LD_ACCESS_TOKEN. An API access token with write permissions for the code-reference-repository resource, either through the built-in Writer role or a custom role.To complete this procedure, you must have the following prerequisites: To learn more about the utility and check for the latest version, read LaunchDarkly Code References with GitHub code references. This topic explains how to use the ld-find-code-refs utility with GitHub Actions to automatically populate code references in LaunchDarkly. Code references is available to customers on an Enterprise plan.
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