1. What's the procedure for to utilizing artifactory with Google Cloud Functions in TypeScript


    To utilize Artifactory with Google Cloud Functions using Pulumi in TypeScript, you would typically go through the following steps:

    1. Set up Artifactory: You need an instance of JFrog Artifactory which will store your function's artifacts. You can set up Artifactory on your own premises, or use a cloud-based SaaS version.

    2. Build your Function: Write the code for your Google Cloud Function and package it according to Google's specifications.

    3. Publish to Artifactory: With your artifact ready, it should be published to your Artifactory repository. This usually involves using a CI/CD pipeline that handles the build and push process.

    4. Deploy to Google Cloud Functions: Using Pulumi, you create a new cloud function resource that points to the artifacts stored in Artifactory.

    5. Manage dependencies and configurations: Ensure that npm or yarn dependencies are correctly specified, and that environmental variables are configured for both Pulumi and your cloud function.

    Now, let's look at an example Pulumi program in TypeScript that sets up a Google Cloud Function resource, considering our artifacts are stored on Artifactory:

    import * as gcp from "@pulumi/gcp"; // Define the Google Cloud Function Resource const myFunction = new gcp.cloudfunctions.Function("myFunction", { // Specify the region where you want the cloud function to be deployed region: "us-central1", // Configure the connection to your Artifactory repository where the code is stored // Usually, this would be a URL to the zip file containing the function's code sourceArchiveBucket: gcp.storage.Bucket.get("bucket", "<BUCKET_NAME_FROM_ARTIFACTORY>"), sourceArchiveObject: "<ZIP_FILE_NAME>", // Define triggers for the cloud function, for example, HTTP trigger triggerHttp: true, // Set the runtime in which the function should be executed. Node.js is used here as an example. runtime: "nodejs10", // Set the entry point of your cloud function if it's different from the default function name entryPoint: "myEntryPointFunction", // Configuration can include environment variables for the function's execution environment environmentVariables: { "MY_VARIABLE": "my-value", }, }); // Export the URLs so it's easy to access export const functionUrl = myFunction.httpsTriggerUrl;

    Replace <BUCKET_NAME_FROM_ARTIFACTORY> and <ZIP_FILE_NAME> with your specific Artifactory bucket name and the object name (usually the path to the .zip file containing your function code).

    This Pulumi program defines a Google Cloud Function by importing the required gcp modules. It creates a new instance of a Cloud Function by specifying the necessary details such as the bucket where the code is stored, the file name of the code within the bucket, the type of trigger for the function, and the environment configuration.

    Please ensure that you have properly authenticated with both Pulumi and GCP and that you have set up your Artifactory instance to serve as an artifact repository. You can use Pulumi's secrets management to handle any sensitive information such as API keys or user credentials.

    Additionally, you would want to integrate this Pulumi code within your CI/CD pipeline to automate the deployment process, which usually includes steps to build, package, and upload the cloud function artifacts to Artifactory, and then triggering Pulumi to deploy the function to Google Cloud Functions.