Youtube buffering painfully slow lately [closed] - performance

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Closed 7 years ago.
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Usually I can easily watch 1080p no problem, as I should.
Now, it's so slow I have to wait a couple of minutes for it to buffer only to be interrupted again 5 minutes in to the video and having to wait again.
Here's my speedtest result
As you can see my download speed is plenty fast.
I don't know why the upload is so slow right now(it's usually around 7-10Mbps), but that shouldn't affect the buffering much, right?
The ping is that high because I'm using a VPN. (connecting to a German server from Finland)
Any idea why youtube would be buffering so slow?
I suppose the VPN could be causing some sort of a problem, but I've been using it for quite some time now and youtube has been buffering just fine previously.

Upload should have very little effect on the streaming - you only upload when you request more of the video and it's unlikely that that is happening constantly (connections stay open a while).
Speed tests don't tell you much - it's a theoretical speed against a good server with a good network in between. ISPs may also hike the result of the speed test by prioritising traffic to the speed test server; cheeky.
In reality streaming from YouTube is more complex.
I blame your ISP for bottle-necking the traffic ("traffic shaping") - it helps to make regular page loading (social media, etc) faster for everyone else. Look up net neutrality if you have time.
Obviously I don't have evidence for this; it's just the most logical explanation. Unfortunately nobody at your ISP will give you a good answer.
I'd also not stream over a VPN anyway; that is a bottle neck in itself skipping optimisation the network/server could do before reaching your client directly.

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Do I have better performances on a VPS or shared hosting offers? [closed]

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Its about a long time that I'm asking my self this question but I've never had a truly response. Most of time people tell that it depend on the language and the usage of the website.
From now I'm using a sharing hosting from OVH but I would want to know if hosting my website with dockers on a VPS isn't a better idea ?
I'm talking about the performances (loading time, ect.), would it be faster on a VPS or a dedicated server ? Not really a price problem.
Most of my website are in Php/JS (Laravel).
Thanks for your answer!
Shared Hosting means that others peoples sites runs in same virtual machine with yours. It's cheapest solution for smaller projects. But when other's page on that shared hosting hits hight traffic your page gets slow down as well.
Virtual Private Server means that you have your own machine but it's only virtual. It's good solution for bigger projects, like e-shops and some sites that hits some serious traffic.
Dedicated Server means that you have your own server and you can do whatever you want there (create smaller virtual servers or run without virtualization). It's also most expensive solution.
Some more details here
So answer to your question is VPS should be faster. But shared hosting can be fine as well. Personally i have several project that don't hit much traffic on a shared hosting and them run just good.

What are the expected performance characteristics of an Azure Function App in Consumption mode? [closed]

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What are the expected performance characteristics of an Azure Function App in Consumption mode?
I was going to ask ... How can you carry out realistic testing of an Azure Function App?
A person in the team knocked together a Perl script that forked off and called our Function App to very crudely simulate the sort of load we're hoping to cope with, e.g. starting with say 150,000 users, calling 10 time a second
The script was running on a very beefy VM running over in Google
Things started Ok with lower numbers, but very quickly we started getting timeouts
We must be doing something "wrong", as I sort of assume that Function App's can cope with this sort of load ... but what?
... and can they cope with this load in Consumption Plan mode?
You can look into ARR-Affinity cookies and see if it is causing scaling problems.
When I was performing some load testing with my function I noticed all the traffic was only going to one instance, and it turned out to be a problem with AAR-Affinity cookies. The load client was being directed back to the same function instance for every request, so it was not scaling out to meet the demand.
You can disable this behavior to see if you get better scaling behavior.
https://blogs.msdn.microsoft.com/appserviceteam/2016/05/16/disable-session-affinity-cookie-arr-cookie-for-azure-web-apps/
or adding this response header.
Headers.Add("Arr-Disable-Session-Affinity", "True");

How do I recover data after factory reset on Windows 10 [closed]

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A friend of mine factory reset her computer on Windows 10, and lost an important document, so I'm wondering if there is a way for her to get it back, any help is useful.
I realize that a factory reset sets the computer back to it's original state of when it was first purchased, but I'm just curious if there are any free or cheap options available, besides going to a recover specialist.
Any advice would be nice - thanks!
Download the free version of Piriform Recuva. It is something I have used before for basic file recovery, and I don't know of a simpler GUI tool for Windows. Simply follow the instructions of this tutorial, or search for a simple video tutorial on YouTube if that is insufficient.
To maximize your chances of recovery reduce the amount of writes to the drive- setting it to read-only for example. Avoiding doing anything else while you attempt to recover the files is critical, newer files may silently destroy whatever is left of the older data. If at all possible you should attempt to boot from a drive or disk that doesn't contain the erased data, but if that is not possible/not something you know how to do then you may still be able to recover the data by booting the computer normally.

Cloud performance vs Desktop [closed]

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I have developed an app to analyze videos using OpenCV and Visual Studio 2013. I was planning to run this app in the Azure assuming that it will run faster in cloud. However, to my surprise, the app ran slower than my desktop, taking about twice the time when I configured the Azure instance with 8 cores. It is a 64-bit app, compiled with appropriate compiler optimization. Can someone help me understand why am I losing time in the cloud, and is there a way to improve the timing there?
The app takes as input a video (locally in each case) and outputs a flat file with the analysis data.
I am not sure why people are voting to close this question. This is very much about programming and if possible, please help me in pinpointing the problem.
There is only going to be 3 reasons for this
Disk IO speed
CPU Speed
Memory Speed
Taking a look here you can see someone who actually checked the performance of on premise to cloud: Azure compute power: Extra Large VM slow
Basically the Ghz is most likely slower (around 1.6) and disk IO speed, while local, is normally capped at 300 or 500 IOPS, which is only just higher than 15k rpm drives and no where near SSD level.
I am not sure on memory speed. While you can keep adding cores, most programs, even ones optimized for multiple cores, have a lot of dependencies on single threads, hence slowing the whole operation down. Increased Ghz is what can make a large difference.

running multiple webcams on one computer [closed]

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I am a videographer for my company. We often do interviews on video which we then post to our website. To keep them from getting monotonous, I use three cheapie 1080p video cameras on tripods, each recording independently of the others, that will give me three different angles and zooms of the same scene. Then I have to copy the video from each camera to my workstation, use Adobe Premiere Pro to select the scenes and line up the action, to make the final video.
OK, so I had the bright idea to use a laptop with three Logitech C910 1080p cameras, and I found some inexpensive software that will record multiple video sources at once. (Got the cams at Sam's Club for an amazing $49 each! One-half of what Best Buy charges.)
Problem is, Windows gets confused if you try to run more than two identical cameras plugged into USB ports. The program will crash, and sometimes the computer will lock up entirely. It seems to do all right with two, but a third one screws everything up.
I did a BUNCH of online research about this, and haven't found a resolution to this problem. But I have found that I am far from being the only person who wants to do this. There's lots of us out there. There may not be a way to do this, but I would like to ask you computer geniuses for your advice.
One of the ideas that I had, which I don't know how to implement, or even if it's possible, would be to have three video drivers loaded that will recognize each camera separately. I don't even know if that's possible, but if it is, I figure somebody here can tell me how to do it. I did see somethng about that on some hi-tech site about another USB device, changing something in the Registry to make the system think the drivers were different, and assign each one to a particular device. I don't have the expertise to figure that out, and again, I don't even know if it's possible or advisable to do that.
I would even switch to Linux if it will afford me a way to do this.
Does anyone have any ideas? I figure if you know how to do this, you're probably well beyond Mensa requirements.
Thanks!
Neither is true, it depends on the driver, and the porting implementation of that as a DirectShow component. A Virtual Machine is totally unnecessary.
The Logitech Webcam Pro 9000 and Microsoft LifeCam HD Cinema are among the ones confirmed to work in identical pairs.

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