I have reservations, too: it's important to be able to remove data even though disk is cheap. * Removing very old data is a reasonable hedge for user privacy.

I have reservations, too: it's important to be able to remove data even though disk is cheap. * Removing very old data is a reasonable hedge for user privacy. * Sometimes confidential data makes its way into the data set and needs to be removed. * Old event data is often not useful but can impact performance or cost just the same. For example, one needs to allocate an EBS volume on AWS volume with a certain level of performance; but the cost of that is `IOPs * GBs`, not `IOPs * useful GBs`. * Replicating and backing up the dataset takes longer and longer as the application grows.