1. Deploy the sumologic-fluentd helm chart on Google Kubernetes Engine (GKE)


    To deploy the Sumo Logic Fluentd Helm chart on Google Kubernetes Engine (GKE), you'll need to perform a few key tasks:

    1. Create a GKE cluster: Start by provisioning a Google Kubernetes Engine (GKE) cluster where your applications will run.

    2. Setup Helm and Tiller: Ensure Helm and its server-side component, Tiller, are installed and properly configured in your GKE cluster.

    3. Deploy the Helm chart: Once Helm is set up, you can deploy the Sumo Logic Fluentd Helm chart to your GKE cluster.

    Below is a Pulumi program in TypeScript that handles these tasks:

    1. google-native.container/v1beta1.Cluster: This resource is used to create a GKE cluster.

    2. kubernetes.helm.v3.Chart: This Pulumi resource represents a Helm chart which we'll use to deploy the Sumo Logic Fluentd Helm chart.

    The Sumo Logic Fluentd Helm chart collects logs from Kubernetes clusters and delivers them to Sumo Logic for monitoring and analysis.

    import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Specify the required GCP project and zone where the GKE cluster will be deployed const gcpConfig = new pulumi.Config("gcp"); const project = gcpConfig.require("project"); const zone = gcpConfig.require("zone"); // Create a GKE cluster const cluster = new gcp.container.Cluster("gke-cluster", { initialNodeCount: 2, nodeVersion: "latest", minMasterVersion: "latest", location: zone, project: project, }); // Export the clusters' kubeconfig export const kubeconfig = pulumi. all([cluster.name, cluster.endpoint, cluster.masterAuth]). apply(([name, endpoint, masterAuth]) => { const context = `${gcpConfig.require("project")}_${gcpConfig.require("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: client-certificate-data: ${masterAuth.clientCertificate} client-key-data: ${masterAuth.clientKey} `; }); // Initialize a new Kubernetes provider instance by using the kubeconfig from the created cluster const k8sProvider = new k8s.Provider("k8sProvider", { kubeconfig: kubeconfig, }); // Deploy the Sumo Logic Fluentd Helm chart using the 'helm.v3.Chart' resource const sumologicFluentdChart = new k8s.helm.v3.Chart("sumologic-fluentd", { chart: "sumologic-fluentd", version: "1.0.0", // use the desired version of the chart fetchOpts:{ repo: "https://sumologic.github.io/sumologic-kubernetes-collection", // official Sumo Logic Helm repo }, }, { provider: k8sProvider }); // specify the provider created above // Export the Helm chart name and namespace once it is deployed export const chartName = sumologicFluentdChart.metadata.apply(metadata => metadata.name); export const chartNamespace = sumologicFluentdChart.metadata.apply(metadata => metadata.namespace);


    1. GKE Cluster: We begin by creating a GKE cluster with two nodes using the gcp.container.Cluster class. We provide the zone and project details, specifying that the cluster should use the latest versions available for the nodes and the master.

    2. Kubeconfig: After the cluster is created, we generate a kubeconfig file using the output properties of the cluster (like its endpoint and master authentication data). This kubeconfig allows us to communicate with the cluster.

    3. Kubernetes Provider: With the kubeconfig, we initialize a Pulumi Kubernetes provider which we'll use for deploying resources to the cluster.

    4. Helm Chart Deployment: Finally, we deploy the Sumo Logic Fluentd Helm chart by defining a helm.v3.Chart resource. The chart property specifies which Helm chart to deploy, and the fetchOpts.repo property specifies the repository where the chart is hosted.

    5. Exports: The chartName and chartNamespace provide output of where the Helm chart was deployed for easy reference.

    To run this Pulumi program:

    1. Ensure you've installed Pulumi and set up the GCP command-line tools.

    2. Ensure you're authenticated with GCP and have set the appropriate configuration for Pulumi to use:

      gcloud auth login gcloud config set project your-gcp-project pulumi config set gcp:project your-gcp-project pulumi config set gcp:zone your-gcp-zone
    3. Save the code in a file with a .ts extension, ensure you have package.json configured with the required packages, and run pulumi up to execute the program. This will provision the GKE cluster and deploy the Sumo Logic Fluentd Helm chart on it.