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Reducing AWS Costs: How to Temporarily Stop an Aurora Serverless v2 Cluster

When managing cloud infrastructure, minimizing costs without compromising data integrity is a continuous priority. Amazon Aurora Serverless v2 offers scalability and high availability, but unlike traditional RDS instances, it introduces nuances in how compute resources are billed. One common question arises: Can an Aurora Serverless v2 database be stopped to save costs?

Understanding Aurora Serverless v2 Billing

Aurora Serverless v2 is designed to scale compute capacity automatically based on application demand. It uses Aurora Capacity Units (ACUs) instead of fixed instance types, billing you per second based on actual usage. However, this also means that ACUs remain allocated even when the database is idle, unless you explicitly stop the cluster.

Stopping the cluster does not mean halting all costs. Instead, it allows you to pause the compute layer while storage and backup charges continue to apply.

How to Stop an Aurora Serverless v2 Cluster Temporarily

As of now, AWS allows you to stop an Aurora cluster for up to 7 days. After that, the cluster is automatically restarted. This feature can be used to suspend development or test environments during off-hours or weekends.

Steps to Stop the Cluster:

  1. Navigate to the RDS Dashboard in the AWS Management Console.
  2. Go to Databases and select your Aurora Serverless v2 cluster.
  3. Click on Actions > Stop temporarily.
  4. Confirm the acknowledgment: while compute costs are paused, storage and backup charges remain.
  5. Submit the stop request.

You will be informed of the automatic restart time, exactly 7 days after the stop operation.

What Happens During the Stop?

Use Cases

Limitations

Final Considerations

Stopping an Aurora Serverless v2 cluster is a practical method to reduce compute-related costs temporarily. However, it does not eliminate all billing, and the benefits are most noticeable in non-production environments. For long-term cost reduction, consider taking a manual snapshot and deleting the cluster if it is not needed for extended periods.


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