How to Create an Amazon Aurora PostgreSQL Serverless Database in Seconds

Introduction

Building at the speed of an idea is critical for modern developers. At re:Invent 2025, AWS announced a new express configuration for Amazon Aurora PostgreSQL that lets you create a serverless database in just seconds with only two clicks. This streamlined experience preconfigures defaults, eliminates the need for a VPC, and includes internet-accessible routing, IAM authentication, and AWS Free Tier support. In this guide, you’ll learn how to go from concept to a running Aurora serverless database—fast.

What You Need

• AWS Account – An active AWS account with permissions to create RDS resources.
• IAM Permissions – Permission to use Amazon Aurora, RDS, and related services (e.g., rds:CreateDBCluster, rds:CreateDBInstance).
• Developer Tools – Any PostgreSQL-compatible client or tool (e.g., psql, DBeaver, or AWS CloudShell).
• Internet Connection – No VPN or AWS Direct Connect required; the express configuration provides an internet access gateway.

Optional: AWS Free Tier eligibility (new accounts) to explore Aurora at no cost.

Step-by-Step Guide

Step 1: Open the Amazon RDS Console

Navigate to the Amazon RDS console and sign in with your AWS account. From the left navigation pane, select Databases.

Step 2: Choose Create Database

Click the Create database button. On the creation wizard, you’ll see several configuration options. Look for the tile labeled Express configuration – this is the simplified path that sets up an Aurora PostgreSQL serverless cluster with preconfigured defaults.

Step 3: Select Express Configuration & Aurora PostgreSQL

Under Database creation method, choose Express configuration. Then for Engine type, select Amazon Aurora PostgreSQL. The express configuration automatically chooses the Serverless v2 capacity type, so you don't need to manage provisioning.

You can optionally adjust the Minimum and Maximum Aurora Capacity Units (ACUs) during creation. This sets the range for automatic scaling. Don’t worry—you can change these values later after the database is live.

Step 4: Configure Basic Settings

In the express configuration, many fields are pre-filled. You will need to:

• Provide a DB cluster identifier (e.g., my-aurora-db).
• Set a Master username and choose authentication method – IAM authentication is enabled by default, allowing passwordless login.
• Specify an initial database name (optional).

All networking (VPC, subnets, security groups) is handled automatically. The express configuration creates an internet access gateway distributed across multiple Availability Zones, so your database is publicly reachable over the internet via PostgreSQL wire protocol – no VPN required.

Step 5: Create the Database

Review your settings and click Create database. In a few seconds, your Aurora PostgreSQL serverless cluster will be ready. You’ll see its status change to Available in the databases list.

Step 6: Connect to Your Database

Once created, you can connect using any PostgreSQL-compatible client. Two recommended ways:

• AWS CloudShell – From the RDS console, select your cluster and choose Query to open a CloudShell terminal with pre-configured connection.
• Local tools – Use the Endpoint (shown in the cluster details) with your master username and IAM authentication token or password.

Because the express configuration includes an internet-accessible routing layer, you can connect securely from anywhere in the world without setting up a bastion host or VPN.

Step 7: Explore Advanced Features

After creation, you have full access to Aurora PostgreSQL serverless features:

• Add read replicas for high availability and read scaling.
• Modify parameter groups to tune performance.
• Use automated failover – the express configuration already sets up Multi-AZ replication.
• Integrate with v0 by Vercel or other AI-powered tools to build applications using natural language.

Tips for Success

• Leverage the Free Tier – Aurora PostgreSQL serverless is now included in the AWS Free Tier. This is a great way to experiment without upfront costs.
• Secure Your Connection – IAM authentication is enabled by default. Use it to avoid managing passwords and reduce credential exposure.
• Monitor Scaling – After creation, review the ACU utilization in CloudWatch to fine-tune your capacity range.
• Use Developer Integrations – Pair Aurora with tools like v0 by Vercel to speed up application development with natural language prompts.
• Remember, You Can Modify Later – If you skip changing capacity range or other options during creation, most settings can be updated after the database is running.

With this express configuration, you can go from idea to a production-ready Aurora serverless database in seconds—fast, secure, and without infrastructure overhead.