Is trying to spin anything. It’s making easier to see the impact over the last 30 days. I agree with the article
Is trying to spin anything. It’s making easier to see the impact over the last 30 days. I agree with the article
Not all hours are created equal when it comes to downtime and my intuition is that most of these 12 landed within my working hours.
In terms of impact that then might mean they were down for 7.5% of the time I needed them, or had business hours uptime of 92.5% which is… both not very good and very disruptive.
On the other hand, downtime at 4AM would be much less impactful even if it happened every day and added up to more overall downtime.
You can obviously compute this for a particular customer, but being a global service, it's pretty much guaranteed that someone somewhere experienced the worse of those numbers
This is important because it's quite possible that the downtime is biased toward the times they have the most active users.
https://cloud.google.com/blog/products/gcp/available-or-not-...