People may have had complaints about functionality, features, commercial issues, but the thing used to at least have a decent uptime until recently.
People may have had complaints about functionality, features, commercial issues, but the thing used to at least have a decent uptime until recently.
The more surpassing part is that Microsoft hasn't figured out a way to manage/contain the AI-sourced traffic better so it doesn't create all this noisy neighbor problems for non-AI usage/users.
bucket1 = clients that were working just fine before (users and whatever automation they had in place) bucket2 = ai clients that contributed to, if not flat out caused, the scale problems
then slowing down/limiting the bucket2 clients while keeping the bucket1 clients rolling as-is, is both doable and keeps existing customers happy while the underlying infra gets scale/perf improvements needed to support ai clients at scale.
But a couple of years ago they were crowing about how much work they were doing to prepare for “a billion developers”. If they had actually done that then the actual load from agents should have been no problem.
I'm not sure how reliable the data is, but average uptime seems to have dipped measurably starting within a year of the aquisition, according to https://damrnelson.github.io/github-historical-uptime/
Now it's a unit in their AI hype machine.
It's quite disappointing objectively, but I expected worse from MSFT.