1. Deploy the airbyte-workload-api-server helm chart on Oracle Kubernetes Engine (OKE)


    To deploy the airbyte-workload-api-server Helm chart on Oracle Kubernetes Engine (OKE), you will need to perform the following steps:

    1. Configure Pulumi to use the Oracle Cloud Infrastructure (OCI) provider, as OKE is a service provided by Oracle.
    2. Ensure that you have set up your OCI credentials on your local machine or the environment where you'll run the Pulumi code. This typically involves setting OCI-related environment variables or configuring a local OCI CLI configuration file.
    3. Use the OCI provider's resources to work with OKE, if needed, like setting up a Kubernetes cluster if you don't already have one.
    4. Use the Helm chart resource from the Kubernetes provider in Pulumi to deploy the airbyte-workload-api-server chart to your OKE cluster.

    Below is a TypeScript program that accomplishes this. It assumes you already have an OKE cluster running and available to accept Helm chart deployments.

    import * as pulumi from '@pulumi/pulumi'; import * as k8s from '@pulumi/kubernetes'; // Assuming you have configured your OCI credentials and the Kubernetes configuration // to interact with your OKE cluster locally, instantiate a new Kubernetes provider instance pointing to your OKE cluster. // The kubeconfig can be obtained via the OCI console or CLI. const k8sProvider = new k8s.Provider('okeProvider', { kubeconfig: process.env.KUBECONFIG, // Ensure your kubeconfig environment variable is set }); // Define the settings for the Helm chart. Make sure to specify the correct chart version and values according to the Airbyte documentation. const chartName = 'airbyte-workload-api-server'; const chartVersion = '0.1.0'; // Replace with the desired chart version const chartRepo = 'https://charts.airbyte.io'; // Replace with the appropriate chart repository // Deploy the Helm chart using the Helm resource. const airbyteApiServerChart = new k8s.helm.v3.Chart(chartName, { chart: chartName, version: chartVersion, fetchOpts: { repo: chartRepo, }, // Define any custom values you need for your deployment. // For example, specify custom resource allocations, image repository, tags, etc. // This is an empty values object, but you should fill it out with your specific configuration needs. values: { }, }, { provider: k8sProvider }); // Export the Airbyte server service name and endpoint for easy access export const airbyteServiceName = pulumi.interpolate`${airbyteApiServerChart.getResourceProperty('v1/Service', 'airbyte-server-svc', 'metadata')}.name`; export const airbyteServerEndpoint = pulumi.interpolate`${airbyteApiServerChart.getResourceProperty('v1/Service', 'airbyte-server-svc', 'status')}.loadBalancer.ingress[0].ip`;

    In this program, we perform the following actions:

    • Import the necessary Pulumi libraries for Kubernetes and general Pulumi functionality.
    • Instantiate a Kubernetes provider configured to interact with your OKE cluster through the kubeconfig file.
    • Define the settings for the Helm chart you want to deploy, airbyte-workload-api-server in this case.
    • Deploy the Helm chart to your OKE cluster using the Chart resource from the Pulumi Kubernetes provider.
    • We then export the service name and endpoint of the Airbyte server, which will allow us to easily connect to the Airbyte API once the deployment is complete. These exports will provide the service name and the load balancer IP address through which you can access your API server once it's up and running.

    Remember to set the KUBECONFIG environment variable to point to your OKE cluster's kubeconfig file before running this program. Make sure that you have the correct chart version and any necessary configuration values specific to the Airbyte server that you might need.

    To run this program and deploy the Helm chart, you would typically execute the following commands in your terminal:

    pulumi up

    This command will initiate the deployment process with Pulumi, which will provision the specified Helm chart resources on the OKE cluster according to the configuration provided in the code.