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  2. Integrating HTTP Addons with KEDA for Event-Driven Autoscaling

How do I integrate HTTP Addons with KEDA for event-driven autoscaling?

In this guide, we will learn how to integrate HTTP Addons with KEDA (Kubernetes Event-Driven Autoscaling) to enable event-driven autoscaling in a Kubernetes cluster using Pulumi. KEDA allows Kubernetes to scale applications based on external events such as messages in a queue, HTTP requests, or other custom metrics.

Key Points:

  • We will deploy an HTTP server as a deployment in Kubernetes.
  • We will configure KEDA to scale the deployment based on the number of HTTP requests.
  • We will use Pulumi to manage the infrastructure as code.

Detailed Explanation:

  1. HTTP Server Deployment: We will create a Kubernetes deployment for an HTTP server.
  2. KEDA ScaledObject: We will configure KEDA to monitor the HTTP server and scale it based on the number of incoming requests.
  3. KEDA HTTP Addon: We will use the KEDA HTTP Addon to integrate HTTP scaling capabilities.
import * as pulumi from "@pulumi/pulumi";
import * as k8s from "@pulumi/kubernetes";

// Create a Kubernetes namespace for KEDA
const kedaNamespace = new k8s.core.v1.Namespace("keda-namespace", {
    metadata: {
        name: "keda",
    },
});

// Deploy KEDA to the Kubernetes cluster
const kedaOperator = new k8s.helm.v3.Chart("keda", {
    chart: "keda",
    version: "2.4.0",
    fetchOpts: {
        repo: "https://kedacore.github.io/charts",
    },
    namespace: kedaNamespace.metadata.name,
});

// Create a deployment for the HTTP server
const httpServerDeployment = new k8s.apps.v1.Deployment("http-server", {
    metadata: {
        name: "http-server",
    },
    spec: {
        replicas: 1,
        selector: {
            matchLabels: {
                app: "http-server",
            },
        },
        template: {
            metadata: {
                labels: {
                    app: "http-server",
                },
            },
            spec: {
                containers: [
                    {
                        name: "http-server",
                        image: "hashicorp/http-echo",
                        args: ["-text=hello"],
                        ports: [
                            {
                                containerPort: 5678,
                            },
                        ],
                    },
                ],
            },
        },
    },
});

// Expose the HTTP server via a Kubernetes service
const httpServerService = new k8s.core.v1.Service("http-server-service", {
    metadata: {
        name: "http-server-service",
    },
    spec: {
        selector: {
            app: "http-server",
        },
        ports: [
            {
                protocol: "TCP",
                port: 80,
                targetPort: 5678,
            },
        ],
    },
});

// Create a KEDA ScaledObject to scale the HTTP server based on HTTP requests
const httpScaledObject = new k8s.apiextensions.CustomResource("http-scaledobject", {
    apiVersion: "keda.sh/v1alpha1",
    kind: "ScaledObject",
    metadata: {
        name: "http-scaledobject",
        namespace: kedaNamespace.metadata.name,
    },
    spec: {
        scaleTargetRef: {
            name: httpServerDeployment.metadata.name,
        },
        triggers: [
            {
                type: "http",
                metadata: {
                    targetPendingRequests: "100",
                    host: `http://${httpServerService.metadata.name}`,
                },
            },
        ],
    },
});

// Export the HTTP server URL
export const httpUrl = pulumi.interpolate`http://${httpServerService.metadata.name}`;

Conclusion

In this guide, we integrated HTTP Addons with KEDA to enable event-driven autoscaling in a Kubernetes cluster. We deployed an HTTP server, exposed it via a Kubernetes service, and configured a KEDA ScaledObject to scale the deployment based on the number of HTTP requests. This setup allows your application to scale dynamically in response to incoming HTTP traffic.

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