Github users right now: I don’t care, I’ll depend on it harder now!
Harder daddy
https://status.claude.com/ not much better
380b
yeah, but it’s microsoft. what’s the longest you’ve gone without rebooting windows? a couple days? It stands to reason.
Man when was the last time you used Windows? The regular restart criticism hilariously outdated
My work computer has mandatory updates from IT like every 2 weeks but when I ran Windows on my own PC, I’d go months without restarting. I’ve restarted my months-old Fedora install more times than that
I have a company laptop with win11 that some days can’t go longer than 6 hours without a reboot because something stopped working. The ubuntu machine I use instead I restart once a month
Outing yourself as a Windows abstainer isn’t the worst thing, I guess.
Yeah but it’s like saying the iPhone sucks because it doesn’t have copy and paste lol
IPhones dont have copy and paste???
They didn’t at launch. It was a perk of Android at the time
It was bigger than copy/paste really, there were no contextual menus at all yet. So no place to stick the commands.
They do.
Source: posting from an iPhone
I and strongly against windows and what microsoft is doing, But you are absolutely correct. If you stick to a build/update that’s not trying to brick your NVME, windows desktop uptime is very reasonable.
We’re not scoping on stability of thier updates, or the ability to update, just uptime on a run of the mill patched version, it goes as long as you’d need it to for most people.
Now, my linux desktop can go for very very long stretches without updates/reboots if I cared to do it. but windows 11 isn’t bad in the way that 95, 98, 2000 were. I’d even argue that win10 was more stable or at the very least had far less breaking issues.
I’ve had uptimes over 1000 days on some of my air gapped linux and BSD machines. Windows never liked going more than month or two, and now unless you turn off automatic updates you never get close to that wall.
My main runs anywhere between 3 to 6 months at a time before i reboot it.
Personally? Months. Regularly weeks. About the same as my servers. Uptime on a single machine isn’t a metric of anything meaningful.
That said, GitHub ain’t a single machine and the reliability issues are definitely not a good look.
A quarter of a century IIRC
Lol I legit thought
whoa a gel electrophoresis meme, I wonder if anyone recognises the sequence.
lol I’m about to kill my copilot subscription. Why have baby autocomplete when you have big daddy Claude now? I don’t even type anything anymore. The whole point of agentic swe is you don’t code by hand. If the ai does something wrong correct it so it doesn’t happen again.
[vibe coding intensifies]
*yeah, not yea or nay. Do people no longer attend school?
Cocksure. Look it up.
Worst sorting algorithm ever.
At least their status bars are, presumably, somewhat honest. It’s pretty common for the status server being used to track various Lemmy instances to show all green even when the site has clearly been down several hours or even for days.
Probably pings the servers instead of checking web server works
Nobody says “yea”. Unless they’re voting. Or talking about the size of something.
You are correct. It is yeah, not yea or nay. It isn’t a vote. Most people are stupid.
it’s actually “yes.”
“Lets buy shit, then fire everyone, and balk when it fails”
“Brilliant gambit sir”
Considering their policy for the majority of their existence has been that open-source is cancer, it might as well be viewed like that. Just buy the central open-source exchange platform and slowly make it worse to hurt all of open-source.
Gitlab is pretty much the same
https://mrshu.github.io/github-statuses/ offers a slightly more honest version with aggregate numbers
90% uptime is abysmal
Any other company would be asked refunds from most clients
LMAO 1 nine of reliability.
At one place I worked we had a service that had been part of an acquired company that, as far as I could tell, had no one responsible for maintaining it, and it either zero or almost zero users, so it would go down for weeks at a time before somebody noticed and did something about it, usually because it needed a security patch. To this day I have no idea why it wasn’t shut down but AFAIK it’s still out there causing problems for whoever works there now.
We came up with a bunch of ways to describe its uptime: a service has one fortnine of reliability if it stays up for at least one continuous fortnight of the year, for instance. An absolute nine is nine days per year. Fractional nines were invented: a “quarter nine” was 25% of 90%uptime, or 22.5% total uptime.
Two 9’s, the pinnacle of reliability.
Five 9s with an 8 in front.
I’m colorblind, but I’m curious to know what is being represented here.
Server / service downtime. For a well managed company, you would expect these to be almost uniformly green, meaning that all servers are responding correctly almost all of the time. This graph has a lot of yellow and red, indicating severe instability in their services.
Not being able to keep servers running is something that typically happens to smaller companies that grow too fast for them to manage. Established companies are (or, IMO, should be…) expected to have near perfect (>99.99%) uptime, and this is indicative of some expertise loss for the company broadly.
I actually manage servers and network services, and am familiar with the importance of five nines uptime. It seems like this kind of an interface is a failure in that it provides quick information to most people but doesn’t include information for people with disabilities. I think it would be beneficial to have that visual interface with color information but to also include information that showed bars of different heights and widths.
I understand that the direct inclusion of all of the numbers could clutter the interface and make it less easy to immediately tell uptime, but even without the numbers it seems that significant improvements could be made to the way this information is presented with this layout.
Thanks. I was thinking it was something biological, or some sort of light spectrum and was getting confused.
They have always reminded me of bright line spectrographs. Now that you mention it I see the resemblance to DNA tests too.
99.99%
TBF, no, established companies tend to have something between 99.9% and 99.99% of uptime. It only increases if the company is explicitly focused on it, at a large cost that usually needs to be paid by some customer.
But Github pretends to be one of those companies that focus on uptime. And it’s also less than 99% right now. So yeah, the main point stands.
Yeah that’s fair. It’s part of the advertising in some sectors, but not all. A lot of the companies I’ve bought products from tend to advertise their uptime, and that’s the type of company I think about when I think about uptime stats. However, a lot of the companies I’ve sold products to tended to not talk about it, and their uptime was often in the 2 nines to 3 nines, if not a lot worse. Somehow they still managed to keep going lol. Some of them anyway.
