|
|
|
|
|
by adrianmonk
2134 days ago
|
|
That's an interesting theory because the timing does correlate. A lot of people would immediately dismiss it because Google has the resources to scale up. But having resources doesn't guarantee someone actually turns the knob that increases the number of instances. (Whether automatic or manual, the adjustment could be too slow to match an unanticipated spike in demand.) But there's another reason I don't think that's the explanation. Gmail has 1.5 billion active users[1]. Millions of students logging in at the same time sounds like a lot, but if Gmail has 100 million more active users today than yesterday, that's not even a 10% increase! --- [1] Source: https://en.wikipedia.org/wiki/Gmail |
|
IMO it's not really about having the resources to scale, but the unpredictable emergent behaviours which can happen when the load profile suddenly changes