Best Practice 22.1 – Use lifecycle policies to archive your data
When selecting an automated lifecycle policy for data, there are tradeoffs to consider. For example, do you want to optimize for speed to market or cost? In some cases, it's best to optimize for speed—going to market quickly, shipping new features, or meeting a deadline—rather than investing in upfront cost optimization. Use your organization’s data classification strategies to define a lifecycle policy to take raw telemetry measurements through various services. Setting milestones by time sets expectations and encourages aggregation and production of data over mere collection.
Recommendation 22.1.1 – Evaluate your organization’s data retention and handling requirements and configure your AWS services to support them
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Check your organization’s data management policy for requirements on retention, deletion, and encryption and align your retention policies and tools with those guidelines.
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S3 Lifecycle policies or S3 Intelligent-Tiering can move the data to the most cost-effective Amazon S3 storage class or Amazon S3 Glacier for long-term storage.