> a high rate of randomly-timed failures is a kind of degraded experience, but not as critical as blocky patches of downtime
Do you think that's an accurate generalization for all software and business contexts? I think a novel insight about the paper is that windowed user uptime is able to visualize the differences. (See Figure 20 from the paper.)
It certainly is not - a trade might not care about 99% of the time, but the exact moment they want to do a trade the system must work.
Whereas of some GitHub request fails and I retry it's a minor annoyance, but in most cases I won't even know whether that was GitHub's flaw, my local system or some networking in between.
Do you think that's an accurate generalization for all software and business contexts? I think a novel insight about the paper is that windowed user uptime is able to visualize the differences. (See Figure 20 from the paper.)