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The Azure management UI, yes, so slowww. But the services (VMs etc) have been good.

ooooh, they're migrating to Azure, now everything makes sense.

Here are some relevant excerpts from an October 2025 article[1]:

> In a message to GitHub’s staff, CTO Vladimir Fedorov notes that GitHub is constrained on capacity in its Virginia data center. “It’s existential for us to keep up with the demands of AI and Copilot, which are changing how people use GitHub,” he writes.

> The plan, he writes, is for GitHub to completely move out of its own data centers in 24 months. “This means we have 18 months to execute (with a 6 month buffer),” Fedorov’s memo says. He acknowledges that since any migration of this scope will have to run in parallel on both the new and old infrastructure for at least six months, the team realistically needs to get this work done in the next 12 months.

If you consider that six month parallel window to have started from the time of the October memo (written presumably at the start of October), then that puts us currently or past the point where they would have cut off their old DC and defaulted to Azure only.

Whether plans or timelines changed, I have no idea of course but the above does make for a convenient timeline that would explain the recent instability. Of course, it could also just be symptomatic of increased AI usage generally and the same problems might have surfaced at a software level regardless of whether they were in a DC or on Azure.

Putting that nuance aside, personally I like the idea that Azure is simply a giant pile of shit operated by a corporation with no taste.

[1]: https://thenewstack.io/github-will-prioritize-migrating-to-a...


>It’s existential for us to keep up with the demands of AI and Copilot

if by chance the CTO reads this, as a user of GitHub I would find it really existential if GitHub continues functioning as a reliable hub for git workflows (hence the name), and I have the strong suspicion nobody except for the shareholders gives a lick about copilot or 'AI' if it makes the core service the site was designed for unusable


AI and Copilot increase the load on git workflows.

>We are absolutely ramming AI and Copilot down people's throats

>We do not have enough capacity for AI and Copilot, basic functionality is falling apart

Is this sanity or something other than sanity?


You’re not supposed to do the math. You’re supposed to nod and say “oh, yes, that makes sense.”

Agree. I do not give a cat's whisker about AI for source control. 0.0%. Notta. Nothing.

For GitHub to remain profitable they have to appease those shareholders you mentioned.

Why? What is the correlation between profit and shareholder sentiment (besides the fact that shareholders want said profits)? They don't really influence the operation of the business meaningfully.

Growth chart gotta go up. Only chumps run a business that makes a steady return.

Sure, but I think it's the wrong way around. Appeasing shareholders doesn't make you profitable, being profitable appeases shareholders. I think there is a wealth of evidence that appeasing shareholders actually impedes profits overall.

Incorrect. They need to appease/trick/threaten/etc those that are paying for their services. Shareholders just demand they do so at the greatest (often short term) rate.

yeah currently working with Azure. what a PITA.

I wonder if the extended downtime is just due to the on-call engineers waiting for their azure auth tokens to refresh within azure's own damn network.


i heard that they asked LinkedIn to do this too and they either refused or their systems were too complex so they refused to. Maybe that explains why LI availability seems ok

Azure, the color of BSOD

they're not just migrating to Azure, they're vibrating to Azure!

They should've setup an endowment fund, could've been self sustainable by now.

Even the built in venv would've solved most of his issues too. But I agree with him in that Python documentation could be better. Or have a more unified system in place. I feel like every other how to doc I read on setting something Python up uses a different environment containment product.

I find it helps if you paste in the the ffmpeg manual and get the ai to use that as source. Helps it stick to real params.


I wasn't a fan either. But you get used to it.


I don't mind using Apple's native Hypervisor framework, it's better then QEMU (speed/overhead), but Apple has no support to passthrough USB ports. https://github.com/utmapp/UTM/issues/3778


That is definitely something Apple must add.


I love how you can scob the timeline and the weather updates as you move it, in real time. It's the biggest thing I don't like about Windy, it's so slow/laggy when changing the timeline. (Maybe it's better if you live in the US, but here in NZ, it's pain)


Daamn, was smooth as butter on my M2 Macbook


https://zoom.earth/ another great one.


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