AWS Aurora Serverless V2 With Pulumi

In this guide, we will create an AWS Aurora Serverless v2 database using Pulumi with TypeScript. AWS Aurora Serverless v2 is a fully managed, on-demand, auto-scaling configuration for Amazon Aurora. It automatically adjusts capacity based on your application’s needs, providing a cost-effective solution for variable workloads. We will use Pulumi to define and deploy our infrastructure as code, leveraging the AWS provider.

Introduction

In this solution, we will set up an AWS Aurora Serverless v2 database using Pulumi with TypeScript. The key services involved in this solution are Amazon Aurora, AWS VPC, and AWS Subnets. Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, combining the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. AWS VPC (Virtual Private Cloud) allows you to launch AWS resources in a logically isolated virtual network, and AWS Subnets enable you to segment your VPC.

Step-by-Step Explanation

Step 1: Set up Pulumi Project

1. Create a new directory for your Pulumi project and navigate into it.
2. Initialize a new Pulumi project using TypeScript.
3. Install the necessary Pulumi packages for AWS.

Step 2: Configure AWS Provider

1. Import the AWS provider in your Pulumi program.
2. Configure the AWS region where you want to deploy your resources.

Step 3: Create a VPC and Subnets

1. Define a new VPC resource.
2. Create public and private subnets within the VPC.

Step 4: Create an Aurora Serverless v2 Cluster

1. Define a new Aurora Serverless v2 cluster resource.
2. Configure the cluster with the necessary parameters such as engine type, scaling configuration, and database credentials.

Step 5: Output the Cluster Endpoint

1. Retrieve the cluster endpoint from the Aurora cluster resource.
2. Export the endpoint as an output of the Pulumi stack.

Key Points

• AWS Aurora Serverless v2 provides on-demand auto-scaling for your database, making it cost-effective for variable workloads.
• Pulumi allows you to define and deploy your infrastructure as code, providing a repeatable and version-controlled deployment process.
• Setting up a VPC and subnets is essential for networking and security when deploying AWS resources.
• Configuring the Aurora cluster with the appropriate parameters ensures optimal performance and cost management.

Conclusion

In this guide, we have successfully set up an AWS Aurora Serverless v2 database using Pulumi with TypeScript. By leveraging Pulumi, we can define our infrastructure as code, making it easy to manage and deploy. AWS Aurora Serverless v2 offers a scalable and cost-effective solution for managing your database workloads. With the steps outlined in this guide, you can quickly set up and configure your own Aurora Serverless v2 database in AWS.

Full Code Example

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

// Create a new VPC
const vpc = new aws.ec2.Vpc("my-vpc", {
    cidrBlock: "10.0.0.0/16",
    enableDnsSupport: true,
    enableDnsHostnames: true,
    tags: {
        Name: "my-vpc",
    },
});

// Create public and private subnets
const publicSubnet = new aws.ec2.Subnet("public-subnet", {
    vpcId: vpc.id,
    cidrBlock: "10.0.1.0/24",
    availabilityZone: "us-west-2a",
    mapPublicIpOnLaunch: true,
    tags: {
        Name: "public-subnet",
    },
});

const privateSubnet = new aws.ec2.Subnet("private-subnet", {
    vpcId: vpc.id,
    cidrBlock: "10.0.2.0/24",
    availabilityZone: "us-west-2a",
    tags: {
        Name: "private-subnet",
    },
});

// Create a subnet group for the Aurora cluster
const subnetGroup = new aws.rds.SubnetGroup("aurora-subnet-group", {
    subnetIds: [publicSubnet.id, privateSubnet.id],
    tags: {
        Name: "aurora-subnet-group",
    },
});

// Create an Aurora Serverless v2 cluster
const auroraCluster = new aws.rds.Cluster("aurora-cluster", {
    engine: "aurora-mysql",
    engineMode: "serverless",
    databaseName: "mydb",
    masterUsername: "admin",
    masterPassword: pulumi.secret("password"),
    dbSubnetGroupName: subnetGroup.name,
    scalingConfiguration: {
        autoPause: true,
        minCapacity: 2,
        maxCapacity: 8,
        secondsUntilAutoPause: 300,
    },
    skipFinalSnapshot: true,
    tags: {
        Name: "aurora-cluster",
    },
});

// Export the cluster endpoint
export const clusterEndpoint = auroraCluster.endpoint;