With S3 Batch Operations, you can optimize costs and workloads by taking actions at scale to minimize manual work and improve efficiency, allowing you to focus on core competencies rather than data management. This continues the example with a CSV from the previous blog post for a customer doing a sequenced S3 Glacier Deep Archive restore and cross-Region copy, using S3 Batch Operations to target specific files to restore and then copy in sequence. In this blog post, I walk through using Amazon S3 Batch Operations to restore and cross-Region copy data. In a previous blog post, we reviewed using Amazon S3 Inventory and Amazon Athena to manage lists of your objects and sort them by various criteria producing curated lists of objects in a CSV for automation.
Without organized and easily manageable data, innovation may suffer, as may security, efficiency, and cost optimization. With data at that scale, customers need methods to filter through data, organize objects, and take bulk actions, or they may find themselves spending a lot of time and energy trying to meet their business storage requirements. Amazon S3 buckets can hold billions of objects and exabytes of data, letting you build your applications with the ability to grow and scale as your business grows. A challenge for many enterprises with data at the scale of petabytes is managing and taking actions on their data to migrate, improve efficiency, and drive down costs through automation.
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