10-50 people normal use case?
For KeePass no, for VaultWarden yes.
Just got triggered for the comment above suggesting a solution that doesn’t work for quite a lot of deployments/users, but yes, my comment was a little bit out of place as for single user deployments KeePass is probably way simpler/better.
Totally agreed, but there are pros and cons.
File - harder to steal but once stolen hacker can bruteforce it as much as it wants. Web service - with proper rate limits (and additional IP whitelist so you can only sync on VPN/local network) - its harder to bruteforce. (But yes, you (sometimes) have also full copy locally in the local client, but …)
If it was only for me I probably would also go with KeePass as you will not update the same db at the same time, but with with multiple users it’s getting unmanageable.
I just got triggered as those CVEs are not that bad due to the nature that the app encrypts stuff on the client side so web server is more like shared file storage, while your answer suggested to switch to a solution that doesn’t work for a lot of people (as we already tried that).
Explain how can you use KeePass+Syncthing with 10-50 people (possibly different groups for different passwords) having different sets of access level while maintaining sane ease of use?
The passwords are encrypted in the first place so the security for them is only on the client side.
Very cool project, as you can host your own stream on your own terms while publish to open/global directory and also integrates with Fediverse <3
grep bat /proc/driver/rtc ❤️
Always learning something new, thanks :)
Because Nginx Proxy Manager exists.
And also because for me it started from web hosting where Apache and Nginx dominate and later because of many easy to understand example configs from the net including many “docker letsencrypt” examples.
Does it support multiple screen/displays?
Hastebin
Hastebin is a text store site or Pastebin tool that allows you to easily share plain text, such as code snippets, with others
https://www.toptal.com/developers/hastebin/about
FlashPaper
One-time encrypted password/secret sharing
I like the concept, you could also detect the compose file name automatically.
Or write down hashes for tag even if compose don’t use your variables so reading from compose, so people would not need to relay on the script but could use it as additional backup
That would allow to fake votes, as I can tweak my instance to spew any number I want.
Red*it can do that too (if not doing it already) but they also have your personal details linked especially when paying for premium :)
There is Tampermonkey and Greasemonkey.
I’m very interested in other people setup and performance.
I only have RPi4 8GB running with HA + Frigate (+ few other addons) running from my old USB2 2TB spinning drive + additional usb coral. Based on my observations, my setup should support 2-4 cameras.
Without usb coral the cpu did spike a lot, as it was using cpu trying to detect objects on video, but the performance was very poor (like 0.5 frame/second), with usb coral there is no difference between detecting or not.
There is 3 part you need for cameras.
My one 1080p camera set to 15fps (+ very complex mask) use: Memory: I see it’s using like 900MB for my 1 camera currently while there is some wind that trigger a lot of motion, so don’t know how it will actually scale with one camera, and . CPU: At one time I managed to go down to 70% core usage when there was not activity on camera, currently with high wind I see usage 100% sometimes even spikes to 200% with a lot of movement detected, so my CPU would handle 2 fine, 3 should work, more - depends on probably on the amount of movement per camera, (without usb coral it was 400% on any movement).
What I would buy depends on how many cameras you want. Good spinning drive for video should be enough for most setup. I would go for 1GB per camera with few GB fee for OS, as reading code from spinning drive shared with cameras would be painful if you run out of memory. CPU - something with intel quick sync, and I would look very closely how many decoding streams it can support at once (or dedicated gpu with video decoding). The amount of cpu will depends highly of the configuration, camera resolution, camera fps, detection resolution, detection fps, applied masking (cutting portion of the video from detection), Now that I’m thinking, my cpu went from 70% to 100% core probably because I did add second (very complex) mask. But the CPU on RPI4 is probably very slow in comparison, so I would aim for … low tier core per camera? Gogole Coral (or GPU once the support will be implemented) for object type detection, unless you have very powerful cpu and not many cameras and it just works for you :)
Does it support intro skip?