Maybe you looked at Schroeder and Gibson from Fast07, which looks at MTBF calculations. They have lots more data, but none released. Hard drive failures are an easy example of the use of the concept of hazard to examine probability distribution functions. I'm not teaching this now, but I sympathize with the difficulty of finding good datasets. Who knows? If you group data by pod, or even location in datacenter, there could be something interesting in exploratory analysis.

I'm a postdoc at the moment, but I've taught survival analysis before. It just struck me as a particularly straightforward example with pretty clean data, a visible separation of the different groups, etc.

Basically, lots of people use the "Iris" data set to learn either data visualization or machine learning based classification. The same could be true of the "Backblaze Hard Drive" data, but for survival analysis/time-to-event statistics courses.

Oh, I'd love for you to just dump this somewhere with a CC-BY (attribution required, free use/mix/share) -- wonderful way of marketing Backblaze to up-and-comming statisticians and students everywhere ;-)

(Just put a "this attribution (blah, blah) include text: backblaze is a service that provides unlimited backup (link) ... etc)

I can't see it harming you in any way -- your business is already wonderfully transparent -- if any mystery remains to be figured out by would-be competitors it would be in the data center/bandwidth area, not the price of hard disks. But it would be really interesting to play around with such data.