arn3n 28 minutes ago
I suspect that Microsoft would even prefer to have Github operate at a loss, if that loss were because all its users were using their models and paying for OpenAI subscriptions to generate the code.
blakesterz 2 hours ago
"Since April, monthly commits have grown from 1.4 billion to 2.9 billion. "
Wow, that is some incredible growth in a really short time.jdm2212 2 hours ago
The worst outages I've been part of always have some version of this :(
ryanisnan 6 minutes ago
It shows zero contributions in the past year, on this account. This is a huge, huge red flag.
sajithdilshan an hour ago
The outage is due to massive load increase. In 4 months the number of commits doubled to 2.9 Billions. Anyone worked with high load systems knows that’s it’s not a normal growth and how difficult even to keep on horizontally scaling in a short time period such a complex system.
GitHub should charge at least maybe 5$ monthly fee and most of the entitled freeloaders would leave the platform and it would free up resources
rcleveng an hour ago
What I read from this is: * Scaling is hard, we don't have enough capacity * We give away a shitton of compute for free * I have to talk about Azure not being a steaming pile of poop, otherwise my bonus will get tweaked downward in the next comp cycle.
Notice there's nothing about paid customers, I'll add in what they are missing:
Paid customers: Go F*ck yourself, you don't pays us enough to be an interesting line item compared to windows server.
ivraatiems 2 hours ago
Calling Azure the solution to this problem when it is in fact the source of most of these problems is just fantastic doublespeak.
Github is ripe for disruption and I hope it is disrupted soon.
CodeCompost 37 minutes ago
Central US data center failed to scale with it
I'm in Europe and I experienced token failures as well.dpweb an hour ago
I don't like paying for free stuff but gh certainly worth it.
yipinwong 2 hours ago
Doesn't Azure have such options so that engineers can predict to scale better? Seems like engineers are not ready for this per postmortem
iSloth an hour ago
rawland an hour ago
GitHub outages seem to be very normal and even more emotional these days. Yet, that’s no reason to treat each other destructively. It’s sad.
So let’s turn this energy into creating something better.
kvemkon 2 hours ago
ChrisArchitect an hour ago
GitHub has alternatives, but no replacement
https://news.ycombinator.com/item?id=49135365
Why developers are ditching GitHub for Codeberg and self-hosting alternatives
https://news.ycombinator.com/item?id=48842611
and new entry:
Cursor Origin Code Hosting
2 hours ago
Comment deletedbibimsz 36 minutes ago
lenerdenator 2 hours ago
GitLab was close last I remember but there was some sort of enterprise tier when I tried hosting stuff on a local server years ago. I want true FLOSS, not another SaaS equivalent of the coke dealer giving clients the good uncut stuff when they're just starting out only to sell crap when they're addicted.
rvz 2 hours ago
You might want to not go all in on GitHub anymore since it is very unstable to use. A self-hosted instance would have a far better uptime than GitHub over the years.
6 years ahead [1] on not going all in an centralizing everything on GitHub.
amazingamazing 2 hours ago
throwaway613746 4 minutes ago
Comment deleteddjha-skin an hour ago
Comment deletednycpig 2 hours ago
"If you were trying to ship software that day, we let you down" is classic corporate non-apology speak.
I’m done.
codegeek 2 hours ago
Comment deletedannoyingnoob 2 hours ago
Seems like we are headed for Tech Gridlock.
monlockandkey 2 hours ago
addaon 37 minutes ago
"You've seen what we've done. The August 21st outage comes next. See you then!"
kjuulh an hour ago
> Our next milestone is an architecture that scales read capacity linearly with the number of readers, enabling unlimited read operations
How do you not have read-replicas / read caches at this scale yet? Which is what I am reading from this statement. You can of course get really far with sharding and whatnot. But at some point it might become worth it to engineer your data into a model that scales better.