Using Reduced Redundancy Storage (RRS) in S3

This is just a quick blog post to provide a few examples of using the new Reduced Redundancy Storage (RRS) feature of S3 in boto.  This new storage class in S3 gives you the option to tradeoff redundancy for cost.  The normal S3 service (and corresponding pricing) is based on a 12-nines 11 nines (yes, that's 99.999999999% - Thanks to Jeff Barr for correction in comments below) level of durability.  In order to achieve this extremely highly level of reliability, the S3 service must incorporate a high-level of redundancy.  In other words, it keeps many copies of your data in many different locations so that even if multiple locations encounter failures, your data will still be safe.

That's a great feature but not everyone needs that level of redundancy.  If you already have copies of your data locally and are just using S3 as a convenient place to store data that is actively being accessed by services within the AWS infrastructure, RRS may be for you.  It provides a much lower level of durability (99.99%) at a significantly lower cost.  If that fits the bill for you, the next three code snippets will provide you with the basics you need to start using RRS in boto.

Create a New S3 Key Using the RRS Storage Class


Convert An Existing S3 Key from Standard Storage Class to RRS


Create a Copy of an Existing S3 Key Using RRS