1. Using kubernetes gateway.networking.k8s.io with stable.nchanged.io

    TypeScript

    The Kubernetes Gateway API (gateway.networking.k8s.io) is a set of resources that you can use to configure HTTP routing, load balancing, and more sophisticated network topologies in a Kubernetes cluster, effectively serving as an evolution of the Ingress resource. With Pulumi, you can create these resources declaratively using code which then translates to the actual Kubernetes resources upon deployment.

    To demonstrate the usage of the Kubernetes Gateway API with Pulumi, let's consider an example scenario where we setup a simple HTTP routing for a domain stable.example.io that forwards traffic to a Kubernetes service. We will define a Gateway resource representing a load balancer that routes traffic, and a HTTPRoute resource describing how the traffic should be directed to services based on the hostnames and paths.

    Assuming you have a Kubernetes cluster and Pulumi installed and setup, let's create a Pulumi program in TypeScript:

    1. Initialize Your Project: If you haven't already, you'll need to create a new Pulumi project. Use the Pulumi CLI to make a new directory, cd into it, and run pulumi new kubernetes-typescript.

    2. Write the Code: We will use the kubernetes package provided by Pulumi. Below is the TypeScript code:

    import * as kubernetes from "@pulumi/kubernetes"; // Create a GatewayClass resource. const gatewayClass = new kubernetes.apiextensions.CustomResource("gatewayClass", { apiVersion: "networking.x-k8s.io/v1alpha1", kind: "GatewayClass", metadata: { name: "example-gateway-class", }, spec: { controller: "example.com/gateway-controller" } }); // Create a Gateway resource, specifying which GatewayClass it belongs to. const gateway = new kubernetes.apiextensions.CustomResource("gateway", { apiVersion: "networking.x-k8s.io/v1alpha1", kind: "Gateway", metadata: { name: "example-gateway", }, spec: { gatewayClassName: gatewayClass.metadata.name, listeners: [ { protocol: "HTTP", port: 80, hostname: { value: "stable.example.io" } } ], } }); // Assuming you have a service named 'example-service' in namespace 'example-namespace' // Create a HTTPRoute resource that forwards traffic to the example-service. const httpRoute = new kubernetes.apiextensions.CustomResource("httpRoute", { apiVersion: "networking.x-k8s.io/v1alpha1", kind: "HTTPRoute", metadata: { name: "example-http-route", }, spec: { gateways: { allow: "All" }, hostnames: ["stable.example.io"], rules: [{ matches: [{ path: { type: "PathPrefix", value: "/" }}], forwardTo: [{ serviceName: "example-service", port: 80, weight: 1, }], }], } }); // Export the Gateway URIs for access export const gatewayUri = gateway.metadata.name.apply(name => `http://${name}.example.io`); export const httpRouteUri = httpRoute.metadata.name.apply(name => `http://${name}.example.io`);
    1. Understand the Code:
    • We declare a GatewayClass which is a template for creating Gateway instances that share common configuration and behavior.
    • Next, we declare a Gateway specifying the class it belongs to and the hostname(s) it will manage traffic for.
    • Then, we create an HTTPRoute resource that specifies how to handle traffic for our domain, stable.example.io, including the service to forward traffic to (example-service in this case).
    • Finally, we export the URIs of the Gateway and HTTPRoute to be able to access them after deployment.

    Please note that as of my knowledge cutoff in April 2023, the Kubernetes Gateway API is under active development and might have had changes in the API. Ensure that you are using the appropriate API version (v1alpha1 in the example) and Gateway setup for your specific Kubernetes cluster version and cloud provider. The controller value in GatewayClass needs to match the Gateway controller you have installed in your cluster.

    1. Deploy the Code:
    • Use the Pulumi CLI to deploy these resources to your Kubernetes cluster by running pulumi up.
    • Confirm the deployment if the preview looks good.

    Remember to replace placeholders like example-service with the actual names of your Kubernetes services and to adjust any other parameters according to your setup and requirements.