Using aws redshiftserverless with dlm

Question

Pulumi · Accepted Answer

If you're looking to use AWS Redshift Serverless alongside Data Lifecycle Management (DLM), a way to approach this is to first set up a Redshift Serverless Namespace, which is a required resource for creating workgroups in Amazon Redshift Serverless. Workgroups are an abstraction that allows you to manage query execution environments. Data Lifecycle Management (DLM) policies for Redshift serverless aren't directly provided through Pulumi as resources, but you can certainly manage Snapshot policies that are a part of DLM through AWS Management Console or AWS CLI and use Pulumi for provisioning and managing Redshift Serverless Namespaces and other related resources.

Below, I'll show you how to create a Pulumi program that defines a Redshift Serverless Namespace using AWS with Pulumi. The `Namespace` is the container for all your Redshift Serverless resources. Remember to configure AWS credentials before running this Pulumi program.

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

const defaultNamespace = new aws.redshiftserverless.Namespace("defaultNamespace", {
    adminUsername: "adminuser", // Replace with your desired admin username.
    adminUserPassword: "T0pS3cr3tP@ssw0rd", // Replace with your desired admin password.
    namespaceName: "default-namespace", // Replace with the desired namespace name.
    dbName: "example-db", // Replace with your desired database name.
    // The IAM roles that have access to the namespace
    iamRoles: [
        "arn:aws:iam::123456789012:role/RedshiftAccessRole", // Replace with an actual role ARN
    ],
    kmsKeyId: "arn:aws:kms:us-west-2:123456789012:key/your-kms-key-id", // Replace with a KMS key ARN for encryption.
});

// Export the namespace name.
export const namespaceName = defaultNamespace.namespaceName;
```

In the above TypeScript program:

- We import the necessary Pulumi and AWS SDK modules.
- We then create a `Namespace` using the AWS Pulumi provider, specifying the admin username, admin user password, namespace name, the database name (`dbName`), an array of `iamRoles`, and a `kmsKeyId`.
- The admin password is hardcoded in this example code, but for a real-world project, you would use Pulumi's secrets management to store and retrieve the password safely.
- We export the namespace name to use it elsewhere in our Pulumi stack or to provide the output upon deployment.

Don't forget to replace placeholders like `adminuser`, `T0pS3cr3tP@ssw0rd`, and ARNs with actual values suitable for your setup.

To manage your data lifecycle in Redshift Serverless outside of Pulumi, you would typically use Amazon Redshift's features such as automatic snapshots and retention periods, which can be configured through the AWS Management Console or the AWS CLI.

In conclusion, while Pulumi doesn't directly handle DLM policies, it allows you to provision and manage necessary resources effectively, and you can complement it with other AWS services and tools to achieve your desired data lifecycle management strategy.