1. Deploy the elk-frontend helm chart on Oracle Kubernetes Engine (OKE)

    TypeScript

    We will deploy an ELK (Elasticsearch, Logstash, Kibana) stack frontend using a Helm chart on the Oracle Kubernetes Engine (OKE). Doing this involves several steps with Pulumi:

    1. Set up the Kubernetes cluster: We'll use the Oracle Container Engine for Kubernetes to provision our cluster.
    2. Deploy the Helm chart: We'll then deploy the elk-frontend Helm chart onto the cluster.

    The two main resources we'll use are:

    Let's get started with writing the Pulumi program in TypeScript.

    import * as oci from "@pulumi/oci"; import * as k8s from "@pulumi/kubernetes"; const projectName = "elk-stack"; // 1. Provision an Oracle Kubernetes Engine cluster // This would set up an OKE cluster, which involves networking resources, configuring settings, and setting up the shape. // Note that you have to specify the compartmentId and the vcnId which need to be pre-provisioned or managed as separate resources. const cluster = new oci.containerengine.Cluster("oke_cluster", { // Specify the compartment where the cluster will be created compartmentId: "ocid1.compartment.oc1..exampleuniqueID", // Please replace with your actual compartment OCID // Kubernetes version for the cluster - the exact versions would be dependent on OCI support at the time of provisioning kubernetesVersion: "v1.20.8", // Define options like enabling the Kubernetes dashboard and which network resources to use options: { // OCI might require you to specify specific additional options for addons, network setup, etc. // e.g. `serviceLbSubnetIds: ["subnet OCID1", "subnet OCID2"]` } // Fill in other required parameters according to your setup/environment }); // 2. Deploy the `elk-frontend` Helm chart on the OKE cluster // Assuming we have our cluster, we will deploy the Helm chart to this cluster. // This will typically involve setting up a Kubeconfig file that Pulumi can use to communicate with the cluster. // We need to get the kubeconfig for the Oracle Kubernetes Engine cluster const kubeconfig = cluster.kubeConfig.content.apply(content => { return Buffer.from(content, "base64").toString("utf-8"); }); // Create a k8s Provider linked with the kubeconfig from the OKE cluster const k8sProvider = new k8s.Provider("oke_k8s", { kubeconfig: kubeconfig, }); // Use the k8s.Provider to install the elk-frontend helm chart const elkChart = new k8s.helm.v3.Chart("elk-frontend", { // Provide the name of the chart and the repository it is located in chart: "elk-frontend", version: "1.0.0", // specify the version of the chart fetchOpts: { repo: "https://helm-repository-service.com/helm-charts", // replace with actual Helm repository URL }, }, { provider: k8sProvider }); // Export the public IP to access Kibana once it is up and running export const kibanaEndpoint = `Kibana is running at: http://${elkChart.getResourceProperty("v1/Service", "kibana", "status").apply(s => s.loadBalancer.ingress[0].ip)}`; // To access Kibana, use the provided URL once the deployment is complete.

    In this program:

    • We've created an OKE cluster using oci.ContainerEngine.Cluster. The real OCID values for compartmentId and other OKE-specific options must be used.
    • A Helm chart for the ELK frontend is deployed using kubernetes.helm.v3.Chart with a fake repository and chart name which you'll have to replace with the actual chart details.
    • Finally, we've exported an endpoint that you can use to access the Kibana dashboard once it's deployed.

    To run this program:

    1. Install the Pulumi CLI and set up the OCI provider.
    2. Replace placeholders with your actual project's values (like compartmentId, vcnId, Helm chart version, and repository URL).
    3. Run pulumi up to create the resources.
    4. Once the resources are successfully provisioned, you can access Kibana through the URL exported by the program.

GPT4o|Modeexplainbalancedcode