Amazon Aurora MySQL manages storage differently from traditional MySQL, utilizing a shared cluster volume for InnoDB tables and a local instance storage for temporary files and logs; understanding the various storage types and monitoring metrics is crucial for optimizing space utilization and billing.

<div>
<p>This article explains how Amazon Aurora MySQL utilizes storage space and provides guidance on monitoring and understanding storage consumption.</p>
<p>Specifically, the article covers:</p>
<ul>
<li>Different types of storage in Aurora MySQL (cluster volume and local instance storage)</li>
<li>Storage usage for user tables, indexes, and tablespaces</li>
<li>Temporary tables and temporary tablespaces</li>
<li>Binary logs</li>
<li>Relay logs</li>
<li>Storage usage in Aurora clones</li>
<li>Relevant CloudWatch metrics to monitor storage utilization</li>
<li>Conclusion summarizing key points</li>
</ul>
</div>


Understanding Amazon Aurora MySQL storage space utilization

Related articles

Related articles

Apr 23
2024
Reduce Amazon Aurora MySQL backup costs using MySQL Shell and Amazon S3

Jul 30
2025
Amazon Aurora MySQL database clusters now support up to 256 TiB of storage volume

Feb 27
2025
Migrate very large databases to Amazon Aurora MySQL using MyDumper and MyLoader

May 21
2026
Amazon Aurora MySQL 8.4 is now generally available