My download speed from a specific AWS S3 server is extremely slow - but it only happens from my Desktop PC, connected through Ethernet.
If I use my mobile phone or any other device (connected through wifi), the download speed is perfectly fine.
Basically getting less than 300Kb/s instead of 10Mb/s+
Any ideas on this? It's really weird...I've tried using Cloudflare Warp and similar stuff, nothing worked.
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I have set up a pixel streaming in UE5 in AWS(Amazon Web Services) it works perfectly on my laptop, mobile and my colleagues system (same WiFi).
When I send that public IP4 link to my client in another city it just appears blank, after clicking the triangle (play button) in Pixel Streaming.
Edit 1: when I change the location(IP) using VPN, it also not working on my laptop too.
EDIT 2:
I'm using UE5 pixelStreaming, It works on many devices/locations, but it didn't work on some locations. I contacted AWS the checked different locations and its working on their side.
surprisingly i didn't do anything it worked on all devices in all locations the next day.
On the next day this problem arise again it didn't work in my client's whole office.
after a few hours, it started to work on some of my client devices(mobile /web browser).
I checked the remote desktop I find out that webRTC data is not coming there.
Why WebRTC data not coming in some of the devices?
I think it might be because you didn't allow access from other networks on AWS, so it only allows those on your network to see it. While not this exact issue, something similar happened to me before.
currently working on a youtube video downloader . using youtube-dl,Django and hosting my project on Pythonanywhere,i almost completed my project but when i send request more then 15-20 youtube block my pythonanywhere server ip. SO i want to ask that how can i solve this blocking problem. free proxies takes too much time to respond. please give me a solution.thanks in advance
I suspect that most YouTube downloaders do one of three things:
Execute client side code to do the actual download. Instead, what the server/extension does is go through the code to find a file being served.
Pay for professional proxy servers sufficient to handle the number of downloads one seeks to make without running into rate limits. Proxies are not expensive.
Limit the rate at which downloads are conducted.
Those are the only ways I can see around the blocking problem. Youtube really doesn't want you to do what you are trying to do and has put a lot of thought into stopping it.
I use Dragon dictation software including by using it over a remote access to my home computer. I also once had it set up on the network server computer at a client site which I could also access when logged in remotely. But now, I have a situation where my access to work info is over Amazon WorkSpaces. Does anyone know if Dragon Pro can be installed on and accessed through an Amazon WorkSpace desktop?
TIA!!
Your question was bugging me for a long time, finally I gave in and rented a WorkSpace and tried Dragon.
Recognition for me is totally fine as long as your local computer's standard audio input device is actually the one you want to use Dragon with. If your default input device is the built-in micro of your laptop, computer or screen, recognition will most likely be bad. I used a Sennheiser MB Pro 2 with a USB dongle on a Windows machine for testing, as well as a TravelMike with a USB MultiAdapter. Both work fine.
As for factors that influence recognition quality:
I know from other virtualization/remote desktop solutions that the codec that transfers your speech to the virtual/remote machine may work well for one microphone, and not for others. Try a different mike and see if that improves your recognition.
In order to rule out microphone issues, I suggest trying different internet connections (WiFi, Ethernet, tethering, different internet providers). Missing words from speech recognition over remote connections can indicate unstable or slow internet.
As far as I know, there is no way to patch a USB device through to the remote WorkSpaces machine. What you could try is install a VPN on the remote machine and use your smartphone as a remote microphone in Dragon. Your smartphone also needs the VPN. If you get that to work, recognition should be as good as on your local network, given that internet connection is fast and stable enough.
I'm in testing stage of launching an online radio. I'm using AWS CloudFormation stack with Adobe Media Server.
My existing instance type is m1.large and my Flash Media Live Encoder is streaming mp3 at 128kbps which i think is pretty normal but it's producing a stream that isn't smooth & stable at all and seems to have a lot of breaks.
Should i pick an instance type with higher specs?
I'm running my test directly off of LiveHLSManifest link that opens on my iPhone's Safari and plays on browser's build-in player..which doesn't set any buffering on client side - could this be the issue?
Testing HLS/HDS links directly on iPhone's Safari was a bad idea. I relied on built-in players already having some sort of buffering configuration by default but noo... I was able to receive stable & smooth stream when i used players like Strobe Media Playback, FlowPlayer etc.. Hopefully, this answer will save someone some time.
We are developing win-mac file sync installer which is quite similar to Dropbox. The installer is built with c++ and QT. We had a use case, where if the internet is disconnected(plugged out network cable (or) not connected to any wifi) so basically no access to web, During this case we need to make the installer into offline.
I tried few approaches like polling continuously to our web servers. If we are not able to reach then we detect as internet dis-connectivity. Due to some reasons we wanted to have clean native implementation which will look for machines network connectivity.
I even tried http://msdn.microsoft.com/en-us/library/aa965303%28VS.85%29.aspx for windows but this is failing in wifi cases even though we don't connect to wifi this example is saying "Network connected".
Can anyone suggest other alternatives. Platform specific solutions also invited.
You probably want to look at INetworkManager::GetConnectivity, and check for NLM_CONNECTIVITY_IPV4_INTERNET or NLM_CONNECTIVITY_IPV6_INTERNET in the response.