1. Deploy the stocks-nasdaq-crawler helm chart on Linode Kubernetes Engine


    To deploy the stocks-nasdaq-crawler Helm chart on Linode Kubernetes Engine (LKE) using Pulumi, you'll first need to set up a Kubernetes cluster in Linode, install Pulumi, and configure it to manage resources on Linode using your API token. Then you'll create a Pulumi program that defines a Kubernetes cluster resource and deploys the Helm chart to this cluster.

    Below is a Pulumi program written in TypeScript that demonstrates how to perform these tasks. The program uses the Pulumi Kubernetes package to interact with Kubernetes resources and deploy Helm charts.

    The main components of this Pulumi program are:

    1. Linode Kubernetes Cluster: This resource represents the Kubernetes cluster on Linode where the Helm chart will be deployed. We use the linode TypeScript package from Pulumi to create a Kubernetes cluster. The specific type or size of nodes can be adjusted according to your needs.

    2. Helm Chart: This resource represents the stocks-nasdaq-crawler Helm chart. We will use the @pulumi/kubernetes package and the Chart resource to deploy this chart to our Linode Kubernetes Cluster.

    In order to run the Pulumi program successfully, ensure you have the following prerequisites met:

    1. A Linode account set up with an API token.
    2. Install Pulumi and set up the Pulumi CLI.
    3. Install Node.js and npm (or yarn) to execute the TypeScript program.
    4. Configure Pulumi to use your Linode API token.

    Once you have the prerequisites ready, you can proceed with the Pulumi code below:

    import * as kubernetes from "@pulumi/kubernetes"; import * as linode from "@pulumi/linode"; // Create a Linode Kubernetes Engine (LKE) cluster const cluster = new linode.LkeCluster("stocks-nasdaq-cluster", { region: "us-central", // Choose the appropriate region kubernetesVersion: "1.22", // Select the Kubernetes version labels: { "name": "stocks-nasdaq-cluster" }, pools: [{ type: "g6-standard-2", // Choose the appropriate instance type count: 3, // Number of nodes in the node pool }], }); // Export the Kubeconfig export const kubeconfig = cluster.kubeconfig; // Set up a Kubernetes provider using the kubeconfig from Linode cluster const k8sProvider = new kubernetes.Provider("k8sProvider", { kubeconfig: cluster.kubeconfig, }); // Deploy the stocks-nasdaq-crawler Helm chart const stocksNasdaqCrawlerChart = new kubernetes.helm.v3.Chart("stocks-nasdaq-crawler", { chart: "stocks-nasdaq-crawler", // Add the repository if it's not from the default Helm repo fetchOpts: { repo: "http://example.com/path/to/repo", // Replace with the Helm chart's repo URL }, // Define any custom values you wish to override values: { // Example: If the chart required specifying a namespace or any other parameters // namespace: "default", // replicaCount: 1, }, }, { provider: k8sProvider }); // Export the endpoint of the stocks-nasdaq-crawler service export const crawlerServiceEndpoint = stocksNasdaqCrawlerChart.getResourceProperty("v1/Service", "stocks-nasdaq-crawler", "status").apply(status => status.loadBalancer.ingress[0].ip);

    In this code:

    1. We've declared a variable called cluster of type Linode.LkeCluster. This defines the specs of your Linode Kubernetes Engine cluster, such as the region, Kubernetes version, labels, and details about your node pools.

    2. We export kubeconfig from the cluster, which contains the configuration needed for kubectl to connect to the Kubernetes cluster.

    3. We create a Pulumi Kubernetes Provider, which is responsible for deploying Kubernetes resources to the given cluster. It is configured using the kubeconfig generated by Linode.

    4. We define the stocks-nasdaq-crawler Helm chart using the kubernetes.helm.v3.Chart resource. We've specified a placeholder URL for repo, which should be replaced with the actual Helm chart's repository. You may also specify custom values as needed by your Helm chart.

    5. The last line exports the service endpoint IP for the stocks-nasdaq-crawler so you can access it once it's deployed. Note that this assumes that your service type in the Helm chart is set up to use a LoadBalancer; if it uses another type (like a ClusterIP or NodePort), you would have to fetch the appropriate information from the service status.

    After crafting this TypeScript code, save it in a file (e.g. index.ts) and then run the following commands to deploy your infrastructure:

    # Install the necessary Pulumi packages npm install @pulumi/linode @pulumi/kubernetes # Log in to Pulumi pulumi login # Create a new project directory, if needed mkdir linode_k8s_stocks_crawler && cd linode_k8s_stocks_crawler # Initialize a new Pulumi project pulumi new typescript # Replace the contents of index.ts with the above TypeScript code # Install the dependencies defined in the package.json file npm install # Preview the changes that will be made by running the Pulumi program pulumi preview # Deploy the changes to Linode pulumi up # After successful deployment, you can access the crawlerServiceEndpoint output

    Remember to replace placeholders and adjust parameters as per your requirements, such as the Helm chart repository URL and any custom values needed for the stocks-nasdaq-crawler chart.