1. Deploy the logdna-agent helm chart on Google Kubernetes Engine (GKE)

    TypeScript

    To deploy the logdna-agent Helm chart on Google Kubernetes Engine (GKE), you will need to perform several steps which involve:

    1. Setting up a GKE cluster.
    2. Installing the Helm chart on the cluster.

    Below are descriptions of the main resources we'll use:

    • google-native.container/v1beta1.Cluster: This resource is used to provision a GKE cluster. You can specify various properties of the cluster, such as its location, node pools, and networking settings.

    • kubernetes.helm.sh/v3.Release: This resource represents a Helm chart release within the Kubernetes cluster. Helm is a package manager for Kubernetes that allows you to define, install, and upgrade complex Kubernetes applications. The Release resource defines the Helm chart to deploy (logdna-agent in our case), as well as configuration settings that might be required for the chart.

    Let's go through the code. You'll need to have Pulumi installed and configured to interact with your Google Cloud account. The following code example is written in TypeScript and will:

    1. Create a GKE cluster.
    2. Configure Kubeconfig to interact with the new cluster.
    3. Deploy the logdna-agent Helm chart to the created GKE cluster.

    Make sure you have installed the necessary Pulumi providers by running npm install @pulumi/gcp @pulumi/kubernetes in the directory where you're working.

    Here is the Pulumi program:

    import * as pulumi from "@pulumi/pulumi"; import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create the GKE cluster. const cluster = new gcp.container.Cluster("logdna-cluster", { initialNodeCount: 2, minMasterVersion: "latest", nodeVersion: "latest", nodeConfig: { machineType: "n1-standard-1", oauthScopes: [ "https://www.googleapis.com/auth/compute", "https://www.googleapis.com/auth/devstorage.read_only", "https://www.googleapis.com/auth/logging.write", "https://www.googleapis.com/auth/monitoring", ], }, }); // Step 2: Configure the Kubernetes provider to use the created GKE cluster. const kubeconfig = pulumi. all([cluster.name, cluster.endpoint, cluster.masterAuth]). apply(([name, endpoint, masterAuth]) => { const context = `${gcp.config.project}_${gcp.config.zone}_${name}`; return `apiVersion: v1 clusters: - cluster: certificate-authority-data: ${masterAuth.clusterCaCertificate} server: https://${endpoint} name: ${context} contexts: - context: cluster: ${context} user: ${context} name: ${context} current-context: ${context} kind: Config preferences: {} users: - name: ${context} user: auth-provider: config: cmd-args: config config-helper --format=json cmd-path: gcloud expiry-key: '{.credential.token_expiry}' token-key: '{.credential.access_token}' name: gcp `; }); const k8sProvider = new k8s.Provider("gkeK8s", { kubeconfig: kubeconfig, }); // Step 3: Deploy the logdna-agent Helm chart. const logdnaAgentChart = new k8s.helm.v3.Chart("logdna-agent", { chart: "logdna-agent", version: "2.1.7", // specify the chart version you want to deploy fetchOpts: { repo: "https://assets.logdna.com/charts", // the Helm chart repository }, }, { provider: k8sProvider }); // Export the Kubeconfig to a file. export const kubeconfigFile = kubeconfig;

    In the code above:

    • We create a GKE cluster using the gcp.container.Cluster resource. This cluster is configured with two nodes of n1-standard-1 machine types. More properties can be configured as per your requirements.

    • The Kubeconfig is built using the properties of the created cluster to interact with it via the kubectl command-line tool or any Kubernetes SDK.

    • We instantiate the kubernetes.helm.sh/v3.Release with logdna-agent, providing the chart's location in the repo URL, and using the GKE cluster we created as the target for deployment specified by the provider option.

    Lastly, the program exports kubeconfigFile, which can be used to interact with your cluster using kubectl command-line tool.

    Before running this code, ensure you have the right permissions set up in Google Cloud IAM and your Pulumi account is configured with the correct credentials and default settings for the project and zone.

    After placing this code in a file (e.g., index.ts), run pulumi up to execute the program, which will provision these resources in your GCP account.

    Please replace the version with the desired version of the logdna-agent Helm chart if different from the one specified in the code. Also, ensure the chart version is compatible with your GKE cluster version.