How do I deploy a GCP compute target HTTP proxy for load-balanced web services?

In this guide, we will deploy a GCP compute target HTTP proxy for load-balanced web services using Pulumi. We will create a backend service, URL map, and target HTTP proxy, and then bind them together to form a load-balanced setup. This setup will distribute incoming HTTP traffic across multiple instances of a web service.

Here is the Pulumi program in TypeScript:

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

// Define the backend service
const backendService = new gcp.compute.BackendService("backendService", {
    loadBalancingScheme: "EXTERNAL",
    protocol: "HTTP",
    backends: [{
        group: "your-instance-group-url", // Replace with the URL of your instance group
    }],
});

// Define the URL map
const urlMap = new gcp.compute.URLMap("urlMap", {
    defaultService: backendService.selfLink,
});

// Define the target HTTP proxy
const targetHttpProxy = new gcp.compute.TargetHttpProxy("targetHttpProxy", {
    urlMap: urlMap.selfLink,
});

// Export the URL of the target HTTP proxy
export const targetHttpProxyUrl = targetHttpProxy.selfLink;

Key Points:

• Backend Service: Represents the backend services to which the load balancer will route traffic.
• URL Map: Defines how incoming URLs will be mapped to backend services.
• Target HTTP Proxy: Acts as a proxy that routes incoming HTTP traffic to the appropriate backend service based on the URL map.

Summary:

In this guide, we deployed a GCP compute target HTTP proxy for load-balanced web services using Pulumi. We created a backend service, URL map, and target HTTP proxy, and linked them together to distribute incoming HTTP traffic across multiple instances of a web service. This setup ensures that your web service can handle increased traffic and provides high availability.