Amazon Redshift
Getting Started Guide (API Version 2012-12-01)

Step 3: Launch a Sample Amazon Redshift Cluster

Now that you have the prerequisites completed, you can launch your Amazon Redshift cluster.

Important

The cluster that you are about to launch will be live (and not running in a sandbox). You will incur the standard Amazon Redshift usage fees for the cluster until you delete it. If you complete the tutorial described here in one sitting and delete the cluster when you are finished, the total charges will be minimal.

To Launch an Amazon Redshift Cluster

  1. Sign in to the AWS Management Console and open the Amazon Redshift console at https://console.aws.amazon.com/redshift/.

    Important

    If you use IAM user credentials, ensure that the user has the necessary permissions to perform the cluster operations. For more information, go to Controlling Access to IAM Users in the Amazon Redshift Cluster Management Guide.

  2. In the main menu, select the region in which you want to create the cluster. For the purposes of this tutorial, select US West (Oregon).

  3. On the Amazon Redshift Dashboard, choose Quick launch cluster.

    The Amazon Redshift Dashboard looks similar to the following.

  4. On the Cluster specifications page, enter the following values and then choose Launch cluster:

    • Node type: Choose dc2.large.

    • Number of compute nodes: Keep the default value of 2.

    • Master user name: Keep the default value of awsuser.

    • Master user password and Confirm password: Enter a password for the master user account.

    • Database port: Accept the default value of 5439.

    • Available IAM roles: Choose myRedshiftRole.

  5. A confirmation page appears and the cluster will take a few minutes to finish. Choose Close to return to the list of clusters.

  6. On the Clusters page, choose the cluster that you just launched and review the Cluster Status information. Make sure that the Cluster Status is available and the Database Health is healthy before you try to connect to the database later in this tutorial.