Create Database User on Aurora Serverless?

Introduction

In this solution, we will create a database user on an Amazon Aurora Serverless cluster using Pulumi. Amazon Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora. It automatically starts up, shuts down, and scales capacity up or down based on your application’s needs. Pulumi is an Infrastructure as Code (IaC) tool that allows you to define and manage cloud resources using familiar programming languages.

Step-by-Step Explanation

Step 1: Set Up Pulumi Project

First, we need to set up a new Pulumi project. This involves installing Pulumi, initializing a new project, and configuring the AWS provider.

Step 2: Create an Aurora Serverless Cluster

Next, we will create an Amazon Aurora Serverless cluster. This includes defining the necessary parameters such as the database engine, instance class, and scaling configuration.

Step 3: Create a Database User

Finally, we will create a new database user on the Aurora Serverless cluster. This involves connecting to the database and executing SQL commands to create the user and grant the necessary permissions.

Key Points

• Amazon Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora.
• Pulumi allows you to define and manage cloud resources using familiar programming languages.
• The process involves setting up a Pulumi project, creating an Aurora Serverless cluster, and creating a database user.

Conclusion

In this solution, we demonstrated how to create a database user on an Amazon Aurora Serverless cluster using Pulumi. By following the steps outlined above, you can easily manage your cloud resources and automate the process of creating and managing database users.

Full Code Example

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

// Create an Aurora Serverless Cluster
const auroraCluster = new aws.rds.Cluster("auroraCluster", {
    engine: "aurora-mysql",
    engineMode: "serverless",
    databaseName: "mydatabase",
    masterUsername: "admin",
    masterPassword: "password",
    scalingConfiguration: {
        autoPause: true,
        minCapacity: 1,
        maxCapacity: 2,
        secondsUntilAutoPause: 300,
    },
});

// Create an RDS Cluster Instance
const auroraClusterInstance = new aws.rds.ClusterInstance("auroraClusterInstance", {
    clusterIdentifier: auroraCluster.id,
    instanceClass: "db.t3.medium",
    engine: "aurora-mysql",
    engineVersion: auroraCluster.engineVersion.apply(engineVersion => engineVersion || "5.7"),
    publiclyAccessible: true,
});

// Create a database user
const dbUser = new aws.iam.User("dbUser", {
    name: "dbuser",
});

// Attach the user to the cluster
const dbUserRoleAssociation = new aws.rds.RoleAssociation("dbUserRoleAssociation", {
    dbInstanceIdentifier: auroraClusterInstance.id,
    featureName: "IAMDatabaseAuthentication",
    roleArn: dbUser.arn,
});

export const clusterEndpoint = auroraCluster.endpoint;
export const dbUserArn = dbUser.arn;