1. Deploy the redis-sentinel helm chart on Digital Ocean Kubernetes Service


    Deploying a Helm chart to a Kubernetes cluster often involves two main tasks:

    1. Setting up the Kubernetes cluster: You will need an operational Kubernetes cluster. With Pulumi, we can define and create a Digital Ocean Kubernetes (DOKS) cluster using the digitalocean.KubernetesCluster resource from the Digital Ocean (digitalocean) package.

    2. Deploying the Helm chart: Once the cluster is running, you can deploy the Helm chart to it. You will use the kubernetes.helm.v3.Chart resource from the Kubernetes (kubernetes) package to deploy the redis-sentinel Helm chart on the Digital Ocean Kubernetes Service.

    Below is the Pulumi TypeScript program that creates a DOKS cluster and deploys the redis-sentinel Helm chart to it. Please ensure you have Pulumi and the Digital Ocean provider configured before running this program.

    import * as pulumi from "@pulumi/pulumi"; import * as digitalocean from "@pulumi/digitalocean"; import * as k8s from "@pulumi/kubernetes"; // Create a Digital Ocean Kubernetes cluster const cluster = new digitalocean.KubernetesCluster("do-cluster", { region: "nyc3", // Choose the appropriate region for your cluster version: "latest", // Use the latest available version nodePool: { name: "default-pool", size: "s-1vcpu-2gb", // The size of the Droplets to use (choose as per need) nodeCount: 2, // Number of nodes to deploy in the cluster }, }); // Create a provider for the created cluster const k8sProvider = new k8s.Provider("k8s-provider", { kubeconfig: cluster.kubeConfigs[0].rawConfig, }); // Deploy the redis-sentinel Helm chart using the Pulumi Kubernetes provider const redisSentinelChart = new k8s.helm.v3.Chart("redis-sentinel", { chart: "redis", version: "14.6.0", // Use the correct version of the Helm chart you wish to deploy fetchOpts: { // In this case, we're using the Bitnami repository repo: "https://charts.bitnami.com/bitnami", }, // Values from the Helm chart's 'values.yaml', customize as needed values: { sentinel: { enabled: true, }, }, }, { provider: k8sProvider }); // Export the cluster endpoint and the Redis service name export const kubeconfig = cluster.kubeConfigs[0].rawConfig; export const redisServiceName = redisSentinelChart.getResource("v1/Service", "redis-master").metadata.name;

    Here is a breakdown of what the above code does:

    • It starts by importing the necessary Pulumi packages to interact with Digital Ocean and Kubernetes.
    • A Digital Ocean Kubernetes cluster is created with the specified configuration (region, version, node pool specs). You can adjust the region, version, and node sizes to suit your requirements.
    • After the cluster is created, the program sets up a K8s provider pointing to the new DOKS cluster using its kubeConfig.
    • Finally, the redis-sentinel Helm chart is deployed using the Pulumi Kubernetes provider. In the code, we're fetching the redis chart from Bitnami's Helm repository, which includes the configuration to deploy Redis with Sentinel.
    • The program also exports the raw kubeconfig for the created cluster and the name of the Redis service. The kubeconfig can be used to interact with your cluster using kubectl, and the redisServiceName is useful to know the entry point of your Redis deployment.

    Please ensure to replace "14.6.0" with the version of the redis chart that you wish to deploy. You can customize the values field to configure Redis and Sentinel exactly how you want them.

    After you've confirmed that your Pulumi configuration file (Pulumi.yaml) is correctly set up, use pulumi up in your terminal to launch the infrastructure specified in this program.