I've always had a question about those stats. "Drive days" seems a key figure; but 1000 drive days may mean 100 drive with 10 days each, or 10 drives with 100 days each. This kind of metric implies that the chance of failing is independent of the age of the drive. Is that so? Was that verified? One of the most failing drives around is the Seagate 4TB, which is a quite old model (it exists since 2013, but it's still sold). How is the drive cohort composed? If it's composed by many old drives and many very new drives, it could mean that we're observing a "mean value" with very little significance.
It would be GREAT to have a "long form" CSV with a) drive model b) service start date (or service hours cont) c) failed/not failed during quarter. THAT would help understanding whether drives fail at random or because of old age (and/or what is the correlation between age and failure - there's a threshold effect, or it's linear?)
According to spec the "Service life of the drive is approximately 5 years or 20,000 power on hours" and "The product supports a minimum of 600,000 normal load/unloads"
We're working on it! It's a bit tough since we're bootstrapped, but that is definitely a priority. We can't grow too quickly for risk of overreaching, but hopefully we're hoping we can find something soon, though no ETA on when that's coming.
I know most of your stories are about Hard Drives, the 4U Stack, its software and DC. But I don't seems to record any stories about being bootstrapped. As compared to lots of other VC backed startup. Are you guys taking investment, if not why not?
Is cash flow or capital a concern for EU DC? If yes, have you consider Crowdsourcing?
Is there a reason these blog posts embed the tables as images? Is it to prevent the results from getting indexed or just convenience? Because it also makes it impossible to copy/paste the model numbers when looking up pricing. :(
It would be GREAT to have a "long form" CSV with a) drive model b) service start date (or service hours cont) c) failed/not failed during quarter. THAT would help understanding whether drives fail at random or because of old age (and/or what is the correlation between age and failure - there's a threshold effect, or it's linear?)