Controlled Testing Environments for AI Systems

Introduction

In this guide, we will create a controlled testing environment for AI systems using Pulumi with AWS as the cloud provider. The key services involved include setting up a VPC, subnets, security groups, an EC2 instance, and an S3 bucket for storing test data.

Step-by-Step Explanation

Step 1: Setting up the VPC

1. Define a new VPC with a CIDR block.
2. Create public and private subnets within the VPC.
3. Set up an Internet Gateway and attach it to the VPC.
4. Create route tables and associate them with the subnets.

Step 2: Configuring Security Groups

1. Create a security group to allow SSH and HTTP/HTTPS access.
2. Attach the security group to the EC2 instance.

Step 3: Launching an EC2 Instance

1. Define an EC2 instance within the public subnet.
2. Attach an Elastic IP to the instance for public access.
3. Use a suitable AMI for the AI testing environment.

Step 4: Setting up S3 for Test Data Storage

1. Create an S3 bucket to store test data.
2. Set appropriate bucket policies to control access.

Summary

By following these steps, you will have a controlled testing environment for AI systems on AWS. This setup includes a VPC with public and private subnets, an EC2 instance for running tests, and an S3 bucket for storing test data. This environment ensures secure and isolated testing conditions for AI development and experimentation.

Full Code Example

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

// Step 1: Setting up the VPC
const vpc = new aws.ec2.Vpc("ai-testing-vpc", {
    cidrBlock: "10.0.0.0/16",
});

const publicSubnet = new aws.ec2.Subnet("public-subnet", {
    vpcId: vpc.id,
    cidrBlock: "10.0.1.0/24",
    mapPublicIpOnLaunch: true,
});

const privateSubnet = new aws.ec2.Subnet("private-subnet", {
    vpcId: vpc.id,
    cidrBlock: "10.0.2.0/24",
});

const internetGateway = new aws.ec2.InternetGateway("internet-gateway", {
    vpcId: vpc.id,
});

const publicRouteTable = new aws.ec2.RouteTable("public-route-table", {
    vpcId: vpc.id,
    routes: [{
        cidrBlock: "0.0.0.0/0",
        gatewayId: internetGateway.id,
    }],
});

new aws.ec2.RouteTableAssociation("public-route-table-association", {
    subnetId: publicSubnet.id,
    routeTableId: publicRouteTable.id,
});

const privateRouteTable = new aws.ec2.RouteTable("private-route-table", {
    vpcId: vpc.id,
});

new aws.ec2.RouteTableAssociation("private-route-table-association", {
    subnetId: privateSubnet.id,
    routeTableId: privateRouteTable.id,
});

// Step 2: Configuring Security Groups
const securityGroup = new aws.ec2.SecurityGroup("security-group", {
    vpcId: vpc.id,
    description: "Allow SSH and HTTP/HTTPS access",
    ingress: [
        { protocol: "tcp", fromPort: 22, toPort: 22, cidrBlocks: ["0.0.0.0/0"] },
        { protocol: "tcp", fromPort: 80, toPort: 80, cidrBlocks: ["0.0.0.0/0"] },
        { protocol: "tcp", fromPort: 443, toPort: 443, cidrBlocks: ["0.0.0.0/0"] },
    ],
    egress: [
        { protocol: "-1", fromPort: 0, toPort: 0, cidrBlocks: ["0.0.0.0/0"] },
    ],
});

// Step 3: Launching an EC2 Instance
const ami = aws.ec2.getAmi({
    filters: [{ name: "name", values: ["amzn2-ami-hvm-*-x86_64-gp2"] }],
    owners: ["137112412989"], // Amazon's AMI owner ID
    mostRecent: true,
});

const instance = new aws.ec2.Instance("ai-testing-instance", {
    instanceType: "t2.micro",
    ami: ami.then(ami => ami.id),
    subnetId: publicSubnet.id,
    securityGroups: [securityGroup.name],
});

const eip = new aws.ec2.Eip("instance-eip", {
    instance: instance.id,
});

// Step 4: Setting up S3 for Test Data Storage
const bucket = new aws.s3.Bucket("test-data-bucket", {
    acl: "private",
});

// Export outputs
export const vpcId = vpc.id;
export const publicSubnetId = publicSubnet.id;
export const privateSubnetId = privateSubnet.id;
export const securityGroupId = securityGroup.id;
export const instanceId = instance.id;
export const bucketName = bucket.bucket;