1. Deploy the trainingjobs helm chart on Linode Kubernetes Engine


    To deploy the trainingjobs Helm chart on Linode Kubernetes Engine (LKE) using Pulumi, we'll need to perform several steps. First, we need to provision a Kubernetes cluster on Linode. Then, we'll need to use the helm.sh/v3.Chart resource from the Pulumi Kubernetes provider to deploy the chart to the cluster we've created.

    Before you start, ensure that you have Pulumi installed and set up on your machine along with the necessary cloud provider credentials (in this case, for Linode). You will also need to have the kubectl command-line tool installed and configured to interact with your Kubernetes cluster.

    Let's go through the steps:

    1. Provision an LKE Cluster: We'll need to use the Linode provider to create a Kubernetes cluster. Since the Pulumi Registry Results don't provide a direct match for interacting with LKE through Pulumi, we'll need to either use the Pulumi Linode provider (if available) or create the cluster through the Linode Cloud Manager or Linode CLI and then configure kubectl to interact with it.

    2. Deploy the Helm Chart: After setting up the Kubernetes cluster, we'll deploy the trainingjobs Helm chart by using the helm.sh/v3.Chart resource.

    Here's the Pulumi TypeScript program that would allow us to deploy the trainingjobs Helm chart:

    import * as k8s from "@pulumi/kubernetes"; // This assumes that you have already set up a Kubernetes cluster and have configured kubectl // to point to your cluster. Replace `<namespace>` with the namespace you want to deploy to. const trainingJobsChart = new k8s.helm.v3.Chart("trainingjobs", { chart: "trainingjobs", // The name of the chart version: "1.0.0", // The version of the chart, specify the version you need namespace: "<namespace>", // The namespace in which to deploy the chart // If the Helm chart is located in a custom repository, uncomment and fill in the repo attribute: // repo: "<repository-url>", // Values for the Helm chart can be provided like so: // values: { // someValue: "some-setting", // }, }); // Export the (likely) URL to access the trainingjobs service export const trainingJobsUrl = trainingJobsChart.getResourceProperty("v1/Service", "<release-name>-trainingjobs", "status").apply(status => { return status.loadBalancer.ingress[0].hostname; });

    In the above code, replace <namespace> with the namespace into which you want to install the Helm chart and <release-name> with the name of the Helm release. Additionally, be sure to fill in the version field with the version of the Helm chart you intend to use or remove the field to use the latest version. If the Helm chart is in a custom repository, you'll need to provide its URL in repo attribute.

    Please replace any placeholder values like <repository-url>, <release-name>, and <namespace> with actual values that apply to your Helm chart and Kubernetes setup. If your Helm chart requires specific values for configuration, they can be supplied in the values object.

    Remember, the trainingJobsUrl output will show the URL where the trainingjobs service is accessible, but this will work only if the service type is LoadBalancer, and the cloud provider supports load balancers. If your service uses a different type (like ClusterIP or NodePort), or if you're running in an environment that doesn't support LoadBalancers, you'll need to adapt the access method accordingly.

    When you're ready to deploy this Pulumi program:

    1. Run pulumi up from the command line inside the directory of this Pulumi project.
    2. Confirm the deployment by checking the proposed changes in the Pulumi CLI, and select yes to perform the deployment.

    After deploying, you should see the output displaying the URL to access the trainingjobs service if it is of type LoadBalancer. If it is not, further steps may be required to access the service, such as port-forwarding or setting up an Ingress.