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unraid really needs a better way of browsing files than using a docker file manager, using the command line or using another pc on the network. would be great to have a simple file browser built into the web ui that allowed you to browse your local files and do simple functions like copy, move, delete, rename, and open some files (documents, videos, music, and text files for example). Basically something like dissident.ai built right into the webui.

Currently I have hand edited options at the end of my VM XML config, as well as a manually selected network model `<model type='vmxnet3'/>` Example: </devices> <qemu:commandline> <qemu:arg value='one'/> <qemu:arg value='two'/> <qemu:arg value='three'/> <qemu:arg value='four'/> </qemu:commandline> </domain> Could the Template editor keep these custom edits by offering an editable field in the template to add <qemu:commandline>, and also offer a dropdown for the network card to allow selecting a model? Thank you in advanced

If you connect to a public share, windows offers up credentials and they are accepted, because public. Then when you try to connect to a private share, those credentials aren't valid, so it pops up a dialog. It's a trick. Windows will NOT allow 2 different sets of credentials for the same server, so even though it asks for new credentials, the existing login to the public share is still valid, so the new credentials are just discarded by windows. You can either purge the existing credentials and logins, then force the first connection to be a private share, or you can use the IP address instead of the server name for the private share and windows will happily accept new credentials because it's stupid and doesn't know you are actually accessing the same server.

The URLs missing is because of the multitude of mistakes the guys were making on that field, ca is now filling it out for them. Hit apply fix on each of them The update available constantly is due to a change at dockerhub. Install or update the auto update plugin which will patch the OS for this Sent from my NSA monitored device

if anyone have the resolve "/.well-known/caldav warning here is how i fix it go to you letsencrypt nginx folder sites-config and add this lines location = /.well-known/carddav { return 301 $scheme://$host/remote.php/dav; } location = /.well-known/caldav { return 301 $scheme://$host/remote.php/dav; } hope this can help anyone with this problem

Kingston DTSE9 last forever and indestructible. And very reliable Sent from my NSA monitored device

HOW TO CUSTOM DASHBOARDS - Go to your unraid Docker config tab - Edit NetData Docker - Click on "Add another Path, Port, Variable, Label or Device" - Config Type: path - name custom-web - Container Path: - Host Path: - Access Mode: Read/Write - Description: Path for custom dashboards - Restart your netdata docker - Go to http://unraid:19999/dashboards.html - Copy the example in a new file dash.html in /mnt/user/appdata/netdata-web-custom - Go to http://unraid:19999/custom/dash.html - Check https://docs.netdata.cloud/web/gui/custom/#custom-dashboards for more information Other tips Increase refresh rate of graphs To increase the refresh rate of the charts, you will need to add data-points="600" to each graph you want to increase its refresh rate, play with the number (600 in this example) to increase / decrease the refresh rate Make the dashboard to update when lost its focus Add the following script AFTER <script type="text/javascript" src="http://unraid:19999/dashboard.js"></script> <script type="text/javascript"> NETDATA.options.current.destroy_on_hide = true; NETDATA.options.current.concurrent_refreshes = true; NETDATA.options.current.parallel_refresher = true; NETDATA.options.current.stop_updates_when_focus_is_lost = false; NETDATA.options.current.sync_selection = false; </script> Paint it Black (dark theme) Add the following script BEFORE <script type="text/javascript" src="http://unraid:19999/dashboard.js"></script> <script type="text/javascript"> var netdataTheme = "slate"; </script> EXAMPLE of Dashboard for a 8 Core system: <!DOCTYPE html> <html lang="en"> <head> <title>Custom unRaid Dashboard</title> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <meta charset="utf-8" /> <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1" /> <meta name="viewport" content="width=device-width, initial-scale=1" /> <meta name="apple-mobile-web-app-capable" content="yes" /> <meta name="apple-mobile-web-app-status-bar-style" content="black-translucent" /> <style type="text/css"> .row { display: flex; flex-direction: row; justify-content: center; align-content: center; } .col { display: flex; flex-direction: column; justify-content: center; align-content: center; } .cell-1-3 { width: 33%; } .cell-1-4 { width: 25%; } .cell-1-5 { width: 20%; } .cell-1-6 { width: 16.66%; } .cell-1-8 { width: 12.5%; } html body { overflow-x: hidden; } html body .my-container { padding: 12px; /* background-color: #f0f000; background-color: #ff9000; */ } </style> </head> <body> <div class="my-container"> <div class="row"> <div class="cell-1-6"> <div data-netdata="sensors.k10temp_pci_00c3_temperature" data-title="CPU Temperature" data-points="600" data-chart-library="gauge" data-width="100%" data-gauge-max-value="85" data-gauge-generate-gradient="[0, 75, 80, 93, 100]" data-gauge-gradient-percent-color-0="#35a035" data-gauge-gradient-percent-color-75="#35a035" data-gauge-gradient-percent-color-80="#f0f000" data-gauge-gradient-percent-color-93="#ff9000" data-gauge-gradient-percent-color-100="#ff2020" ></div> </div> <div class="cell-1-6"> <div data-netdata="system.cpu" data-title="CPU Load" data-points="600" data-chart-library="gauge" data-gauge-max-value="100" data-width="100%" data-gauge-generate-gradient="[0, 75, 80, 93, 100]" data-gauge-gradient-percent-color-0="#35a035" data-gauge-gradient-percent-color-75="#35a035" data-gauge-gradient-percent-color-80="#f0f000" data-gauge-gradient-percent-color-93="#ff9000" data-gauge-gradient-percent-color-100="#ff2020" ></div> </div> <div class="cell-1-5"> <div data-netdata="sensors.it8720_isa_0228_fan" data-title="Pump" data-points="600" data-dimensions="fan4" data-chart-library="gauge" data-gauge-max-value="2000" data-width="100%" data-gauge-generate-gradient="[0, 75, 80, 93, 100]" data-gauge-gradient-percent-color-0="#35a035" data-gauge-gradient-percent-color-75="#35a035" data-gauge-gradient-percent-color-80="#f0f000" data-gauge-gradient-percent-color-93="#ff9000" data-gauge-gradient-percent-color-100="#ff2020" ></div> </div> </div> <div class="row"> <div class="cell-1-8"> <div data-netdata="cpu.cpufreq" data-points="600" data-dimensions="cpu0" data-title="CPU 0 Frequency" data-chart-library="gauge" data-gauge-min-value="0" data-gauge-max-value="4100" data-width="100%" data-gauge-start-color="#35a035" data-gauge-stop-color="#a03535" data-gauge-generate-gradient="[0, 75, 80, 93, 100]" data-gauge-gradient-percent-color-0="#35a035" data-gauge-gradient-percent-color-75="#35a035" data-gauge-gradient-percent-color-80="#f0f000" data-gauge-gradient-percent-color-93="#ff9000" data-gauge-gradient-percent-color-100="#ff2020" ></div> <div data-netdata="cpu.cpu0" data-points="600" data-title="CPU 0 Load" data-chart-library="gauge" data-gauge-max-value="100" data-width="100%" data-gauge-start-color="#35a035" data-gauge-stop-color="#a03535" data-gauge-generate-gradient="[0, 75, 80, 93, 100]" data-gauge-gradient-percent-color-0="#35a035" data-gauge-gradient-percent-color-75="#35a035" data-gauge-gradient-percent-color-80="#f0f000" data-gauge-gradient-percent-color-93="#ff9000" data-gauge-gradient-percent-color-100="#ff2020" ></div> </div> <div class="cell-1-8 col"> <div data-netdata="cpu.cpufreq" data-points="600" data-dimensions="cpu1" data-title="CPU 1 Frequency" data-chart-library="gauge" data-gauge-max-value="4100" data-width="100%" data-gauge-start-color="#35a035" data-gauge-stop-color="#a03535" data-gauge-generate-gradient="[0, 75, 80, 93, 100]" data-gauge-gradient-percent-color-0="#35a035" data-gauge-gradient-percent-color-75="#35a035" data-gauge-gradient-percent-color-80="#f0f000" data-gauge-gradient-percent-color-93="#ff9000" data-gauge-gradient-percent-color-100="#ff2020" ></div> <div data-netdata="cpu.cpu1" data-points="600" data-title="CPU 1 Load" data-chart-library="gauge" data-gauge-max-value="100" data-width="100%" data-gauge-start-color="#35a035" data-gauge-stop-color="#a03535" data-gauge-generate-gradient="[0, 75, 80, 93, 100]" data-gauge-gradient-percent-color-0="#35a035" data-gauge-gradient-percent-color-75="#35a035" data-gauge-gradient-percent-color-80="#f0f000" data-gauge-gradient-percent-color-93="#ff9000" data-gauge-gradient-percent-color-100="#ff2020" ></div> </div> <div class="cell-1-8"> <div data-netdata="cpu.cpufreq" data-points="600" data-dimensions="cpu2" data-title="CPU 2 Frequency" data-chart-library="gauge" data-gauge-max-value="4100" data-width="100%" data-gauge-start-color="#35a035" data-gauge-stop-color="#a03535" data-gauge-generate-gradient="[0, 75, 80, 93, 100]" data-gauge-gradient-percent-color-0="#35a035" data-gauge-gradient-percent-color-75="#35a035" data-gauge-gradient-percent-color-80="#f0f000" data-gauge-gradient-percent-color-93="#ff9000" data-gauge-gradient-percent-color-100="#ff2020" ></div> <div data-netdata="cpu.cpu2" data-points="600" data-title="CPU 2 Load" data-chart-library="gauge" data-gauge-max-value="100" data-width="100%" data-gauge-start-color="#35a035" data-gauge-stop-color="#a03535" data-gauge-generate-gradient="[0, 75, 80, 93, 100]" data-gauge-gradient-percent-color-0="#35a035" data-gauge-gradient-percent-color-75="#35a035" data-gauge-gradient-percent-color-80="#f0f000" data-gauge-gradient-percent-color-93="#ff9000" data-gauge-gradient-percent-color-100="#ff2020" ></div> </div> <div class="cell-1-8"> <div data-netdata="cpu.cpufreq" data-points="600" data-dimensions="cpu3" data-title="CPU 3 Frequency" data-chart-library="gauge" data-gauge-max-value="4100" data-width="100%" data-gauge-start-color="#35a035" data-gauge-stop-color="#a03535" data-gauge-generate-gradient="[0, 75, 80, 93, 100]" data-gauge-gradient-percent-color-0="#35a035" data-gauge-gradient-percent-color-75="#35a035" data-gauge-gradient-percent-color-80="#f0f000" data-gauge-gradient-percent-color-93="#ff9000" data-gauge-gradient-percent-color-100="#ff2020" ></div> <div data-netdata="cpu.cpu3" data-points="600" data-title="CPU 3 Load" data-chart-library="gauge" data-gauge-max-value="100" data-width="100%" data-gauge-start-color="#35a035" data-gauge-stop-color="#a03535" data-gauge-generate-gradient="[0, 75, 80, 93, 100]" data-gauge-gradient-percent-color-0="#35a035" data-gauge-gradient-percent-color-75="#35a035" data-gauge-gradient-percent-color-80="#f0f000" data-gauge-gradient-percent-color-93="#ff9000" data-gauge-gradient-percent-color-100="#ff2020" ></div> </div> <div class="cell-1-8"> <div data-netdata="cpu.cpufreq" data-points="600" data-dimensions="cpu4" data-title="CPU 4 Frequency" data-chart-library="gauge" data-gauge-max-value="4100" data-width="100%" data-gauge-start-color="#35a035" data-gauge-stop-color="#a03535" data-gauge-generate-gradient="[0, 75, 80, 93, 100]" data-gauge-gradient-percent-color-0="#35a035" data-gauge-gradient-percent-color-75="#35a035" data-gauge-gradient-percent-color-80="#f0f000" data-gauge-gradient-percent-color-93="#ff9000" data-gauge-gradient-percent-color-100="#ff2020" ></div> <div data-netdata="cpu.cpu4" data-points="600" data-title="CPU 4 Load" data-chart-library="gauge" data-gauge-max-value="100" data-width="100%" data-gauge-start-color="#35a035" data-gauge-stop-color="#a03535" data-gauge-generate-gradient="[0, 75, 80, 93, 100]" data-gauge-gradient-percent-color-0="#35a035" data-gauge-gradient-percent-color-75="#35a035" data-gauge-gradient-percent-color-80="#f0f000" data-gauge-gradient-percent-color-93="#ff9000" data-gauge-gradient-percent-color-100="#ff2020" ></div> </div> <div class="cell-1-8"> <div data-netdata="cpu.cpufreq" data-points="600" data-dimensions="cpu5" data-title="CPU 5 Frequency" data-chart-library="gauge" data-gauge-max-value="4100" data-width="100%" data-gauge-start-color="#35a035" data-gauge-stop-color="#a03535" data-gauge-generate-gradient="[0, 75, 80, 93, 100]" data-gauge-gradient-percent-color-0="#35a035" data-gauge-gradient-percent-color-75="#35a035" data-gauge-gradient-percent-color-80="#f0f000" data-gauge-gradient-percent-color-93="#ff9000" data-gauge-gradient-percent-color-100="#ff2020" ></div> <div data-netdata="cpu.cpu5" data-points="600" data-title="CPU 5 Load" data-chart-library="gauge" data-gauge-max-value="100" data-width="100%" data-gauge-generate-gradient="[0, 75, 80, 93, 100]" data-gauge-gradient-percent-color-0="#35a035" data-gauge-gradient-percent-color-75="#35a035" data-gauge-gradient-percent-color-80="#f0f000" data-gauge-gradient-percent-color-93="#ff9000" data-gauge-gradient-percent-color-100="#ff2020" ></div> </div> <div class="cell-1-8"> <div data-netdata="cpu.cpufreq" data-points="600" data-dimensions="cpu6" data-title="CPU 6 Frequency" data-chart-library="gauge" data-gauge-max-value="4100" data-width="100%" data-gauge-generate-gradient="[0, 75, 80, 93, 100]" data-gauge-gradient-percent-color-0="#35a035" data-gauge-gradient-percent-color-75="#35a035" data-gauge-gradient-percent-color-80="#f0f000" data-gauge-gradient-percent-color-93="#ff9000" data-gauge-gradient-percent-color-100="#ff2020" ></div> <div data-netdata="cpu.cpu6" data-points="600" data-title="CPU 6 Load" data-chart-library="gauge" data-gauge-max-value="100" data-width="100%" data-gauge-generate-gradient="[0, 75, 80, 93, 100]" data-gauge-gradient-percent-color-0="#35a035" data-gauge-gradient-percent-color-75="#35a035" data-gauge-gradient-percent-color-80="#f0f000" data-gauge-gradient-percent-color-93="#ff9000" data-gauge-gradient-percent-color-100="#ff2020" ></div> </div> <div class="cell-1-8"> <div data-netdata="cpu.cpufreq" data-points="600" data-dimensions="cpu7" data-title="CPU 7 Frequency" data-chart-library="gauge" data-gauge-max-value="4100" data-width="100%" data-gauge-generate-gradient="[0, 75, 80, 93, 100]" data-gauge-gradient-percent-color-0="#35a035" data-gauge-gradient-percent-color-75="#35a035" data-gauge-gradient-percent-color-80="#f0f000" data-gauge-gradient-percent-color-93="#ff9000" data-gauge-gradient-percent-color-100="#ff2020" ></div> <div data-netdata="cpu.cpu7" data-points="600" data-title="CPU 7 Load" data-chart-library="gauge" data-gauge-max-value="100" data-width="100%" data-gauge-generate-gradient="[0, 75, 80, 93, 100]" data-gauge-gradient-percent-color-0="#35a035" data-gauge-gradient-percent-color-75="#35a035" data-gauge-gradient-percent-color-80="#f0f000" data-gauge-gradient-percent-color-93="#ff9000" data-gauge-gradient-percent-color-100="#ff2020" ></div> </div> </div> <div class="row"> <div data-netdata="sensors.k10temp_pci_00c3_temperature" data-title="CPU Temperature" data-chart-library="dygraph" data-dygraph-valuerange="[25,85]" data-width="100%" data-height="165" data-after="-3600" ></div> </div> <div class="row"> <div data-netdata="sensors.it8720_isa_0228_temperature" data-title="System Temperatures" data-chart-library="dygraph" data-dygraph-valuerange="[25,85]" data-width="100%" data-height="165" data-after="-3600" ></div> </div> </div> <script type="text/javascript"> var netdataTheme = "slate"; </script> <script type="text/javascript" src="http://unraid:19999/dashboard.js" ></script> <script type="text/javascript"> NETDATA.options.current.destroy_on_hide = true; NETDATA.options.current.concurrent_refreshes = true; NETDATA.options.current.parallel_refresher = true; NETDATA.options.current.stop_updates_when_focus_is_lost = false; NETDATA.options.current.sync_selection = false; </script> </body> </html> Hope this helps!

A new docker has been released that will now download and install the yolo and tiny yolo files for hook processing. Two new environment variables have been added to the template where you can set them to download and install the hook models. The new template is available in CA. I would suggest getting the new template from CA and set the variables to your preference. The new docker should be built in about 30 minutes,

HOW TO TEMPERATURES VOLTAGES FANS - Go to http://unraid:19999/netdata.conf (change unraid for your unraid servername or ip, my case is called unraid) - Paste the contents in a text editor - Find the [plugins] section - Change the line where says # python.d = yes for python.d = yes (so remove the # at the beginning of that line) - Copy the content of your text editor and paste the content in a new file called netdata.conf in /mnt/user/appdata/netdata (or wherever you have configured the data of your unraid) - Now copy and paste the content of this: https://raw.githubusercontent.com/netdata/netdata/master/collectors/python.d.plugin/python.d.conf in a text editor - Find the line # sensors: yes and change it for sensors: yes (remove the # at the beginning of that line) - Save this file as python.d.conf in /mnt/user/appdata/netdata - Create a folder python.d in /mnt/user/appdata/netdata - Copy the contents of https://raw.githubusercontent.com/netdata/netdata/master/collectors/python.d.plugin/sensors/sensors.conf in a text editor - Check the lines that starts with types: and add a # at the beginning of each sensor that you DON'T want to have in netdata - Save this file as sensors.conf in /mnt/user/appdata/netdata/python.d - Restart the Docker of netdata, and you will see a new section called Sensors and there all your temperatures and voltages and more If after all of this, still not works, I recommend to install Dynamix System Temperature and configure it properly, you should be able to see temperatures in the footer of unraid admin web, as that tool configures the command sensors to work as expected and therefore the plugin for netdata can read those sensors too. Hope this Helps

Best way forward is to backup cache data, re-format and restore. Those connection issues with SSDs are usually cable related, Samsung SSDs especially can be very picky with connection quality, also keep in mind that trim won't work when connected to that LSI, so if possible use the Intel SATA ports instead for both.