Using aws elasticloadbalancingv2 with quicksight

Question

Pulumi · Accepted Answer

To use AWS Elastic Load Balancing with Amazon QuickSight, you must understand that these services serve different purposes within the AWS ecosystem. AWS Elastic Load Balancing distributes incoming application traffic across multiple targets, such as Amazon EC2 instances, in multiple Availability Zones. This increases the fault tolerance of your applications. On the other hand, Amazon QuickSight is a scalable, serverless, embeddable, machine learning-powered Business Intelligence (BI) service built for the cloud.

While Pulumi doesn't have a direct way to "use" Elastic Load Balancing with QuickSight because they don't interact directly in the way resources within the same service category might, both services can be part of a larger AWS infrastructure setup, which Pulumi can model and manage as infrastructure code.

For instance, if you have an application whose traffic is managed by Elastic Load Balancing, it might generate logs that you store in Amazon S3. Those logs could then be analyzed with Amazon QuickSight to provide insights into your application's usage and performance.

To demonstrate this arrangement with Pulumi, I'll show you how to set up an application load balancer (ALB) using the `aws.elasticloadbalancingv2` module of the AWS provider. Then, I'll create a QuickSight user which could represent an analyst or a BI user, but keep in mind that integrating these two pieces in a more meaningful way generally involves other AWS services and data sources.

Here's the TypeScript program:

```typescript
import * as aws from "@pulumi/aws";

// Create an Application Load Balancer for distributing traffic.
const loadBalancer = new aws.elasticloadbalancingv2.LoadBalancer("app-lb", {
    loadBalancerType: "application",
    // Depending on your use case, you might want to associate the Load Balancer with specific subnets
    // in your VPC. Ensure you have created or have available subnets you want to use.
    subnets: [
        // Dummy subnet IDs replace these with your actual subnet IDs
        "subnet-xxxxxxxxxxxxxxxxx",
        "subnet-yyyyyyyyyyyyyyyyy",
    ],
});

// Create a target group for routing requests to targets like EC2 instances.
const targetGroup = new aws.elasticloadbalancingv2.TargetGroup("app-tg", {
    port: 80,
    protocol: "HTTP",
    targetType: "ip",
    vpcId: "vpc-xxxxxxxxxxxxxxxxx", // replace this with your actual VPC ID where your instances reside.
});

// Create a listener for the ALB that checks for incoming HTTP requests and forwards them to the Target Group.
const listener = new aws.elasticloadbalancingv2.Listener("app-listener", {
    loadBalancerArn: loadBalancer.arn,
    port: 80,
    defaultActions: [{
        type: "forward",
        targetGroupArn: targetGroup.arn,
    }],
});

// Create a QuickSight user.
const quickSightUser = new aws.quicksight.User("qs-user", {
    // Ensure to replace these with the actual AWS account ID and a valid email
    awsAccountId: "123456789012",
    email: "user@example.com",
    identityType: "IAM",
    // The ARN of an existing IAM user or role which has the necessary permissions
    // Replace the dummy ARN with an actual IAM ARN
    iamArn: "arn:aws:iam::123456789012:user/UserWithQSPermissions",
    namespace: "default",
    userRole: "ADMIN", // This determines what permissions the user has within QuickSight
});

// Export the DNS name of the Load Balancer and the ARN of the QuickSight user
export const loadBalancerDnsName = loadBalancer.dnsName;
export const quickSightUserArn = quickSightUser.arn;
```

In this program:
- We define an application load balancer to distribute incoming HTTP traffic across multiple targets.
- We create a target group for the load balancer to forward traffic to.
- A listener is added to the load balancer to listen for incoming traffic on port 80.
- We create a QuickSight user that is needed to access the QuickSight dashboard.

When setting up the ALB, make sure the subnets and VPC ID are valid and exists within your AWS environment. For QuickSight, you need to replace the `awsAccountId`, `email`, and `iamArn` with real values that correspond to your AWS account and an IAM user with the necessary permissions.

To apply this infrastructure code using Pulumi:
1. Make sure you've installed Pulumi and configured it for use with AWS.
2. Save the above code in a file with a `.ts` extension (for instance, `main.ts`).
3. Navigate to the directory where your file is located in the terminal.
4. Run `pulumi up` to preview and deploy the changes.

After the program runs, Pulumi will output the DNS name of the load balancer and the ARN for the QuickSight user, which you can then use in other parts of your AWS infrastructure setup.