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My raspberry pi is still working just fine
by iso1210 5y ago
My raspberry pi is still working just fine
- marginalia_nu 5y agoYeah, strange, my self-hosted server isn't affected either.
- iso1210 5y agoSeems "the cloud" had a major outage less than a month ago, my laptop has a higher uptime. $ 16:04 up 46 days, 7:02, 9 users, load averages: 3.68 3.56 3.18 US East 1 was down just over a year ago https://www.theregister.com/2020/11/25/aws_down/ https://www.theregister.com/2020/11/25/aws_down/ Meanwhile I moved one of my two internal DNS servers to a second site on 11 Nov 2020, and it's been up since then. One of my monitoring machines has been filling, rotating and deleting logs for 1,712 days with a load average in the c. 40 range for that whole time, just works. If only there was a way to run stuff with an uptime of 364 days a year without using the cloud /s
- nfriedly 5y agoI think the point of the could isn't increased uptime - the point is that when it's down, bring it back up is someone else's problem. (Also, OpEx vs CapEx financial shenanigans...) All the same, I don't disagree with your point.
- iso1210 5y ago> the point is that when it's down, bring it back up is someone else's problem. When it's down, it's my problem, and I can't do anything about it other than explain why I have no idea the system is broken and can't do anything about it. "Why is my dohicky down? When will it be back?" "Because it's raining, no idea" May be accurate, it's also of no use. But yes, Opex vs Capex, of course that's why you can lease your servers. It's far easier to spend company money with another $500 a month on AWS than spend $500 a year for a new machine.
- debaserab2 5y agoso does my toaster, oven and microwave. so what? they get used a few times a day, but my production level equipment serves millions in an hour.
- iso1210 5y agoMy lightswitch is used twice a day, yet it works every time. In the old days it would occasionally break (bulb goes), I would be empowered to fix it myself (change the bulb). In the cloud you're at the mercy of someone who doesn't even know you exist to fix it, without the protections that say an electric company has with supplying domestic users. This thread has people unable to turn their lights on[0], it's hilarious how people tie their stuff to dependencies that aren't needed, with a history of constant failure. If you want to host millions of people, then presumably your infrastructure can cope with the loss of a single AZ (and ideally the loss of Amazon as a whole). The vast majority of people will be far better off without their critical infrastructure going down in the middle of the day in the busiest sales season going. [0] https://news.ycombinator.com/item?id=29475499 https://news.ycombinator.com/item?id=29475499
- jaywalk 5y agoCool. Now let's have a race to see who can triple their capacity the fastest. (Note: I don't use AWS, so I can actually do it)
- iso1210 5y agoWhy would I want to triple my capacity? Most people don't need to scale to a billion users overnight.
- jaywalk 5y agoMany B2B-type applications have a lot of usage during the workday and minimal usage outside of it. No reason to keep all that capacity running 24/7 when you only need most of it for ~8 hours per weekday. The cloud is perfect for that use case.
- iso1210 5y agoIs it really? How much does that scaling actually cost? And what's a workday anyway, surely you operate globally?
- jaywalk 5y agoScaling itself costs nothing, but saves money because you're not paying for unused capacity. The main application I run operates in 7 countries globally, but the US is the only one that has enough usage to require additional capacity during the workday. So out of 720 hours in a 30 day month, cloud scaling allows me to pay for additional capacity for only the (roughly) 160 hours that it's actually needed. It's a significant cost saver. And because the scaling is based on actual metrics, it won't scale up on a holiday when nobody is using the application. More cost savings.
- vp8989 5y agoYou are (conveniently or not) incorrectly assuming that the unit price of provisioned vs on-demand capacity is the same. It's not.