
Migrate from pfSense Plus to pfSense CE on your own hardware
In this video, I will show you how to migrate from pfSense Plus to pfSense CE when running pfSense on your own hardware.
Pragmatic IT Solutions
In this video, I will show you how to migrate from pfSense Plus to pfSense CE when running pfSense on your own hardware.
In this video, I will show you how to set up network-wide ad-blocking and tracking protection using pfSense and pfBlocker-NG. Because it is nobody’s business what you are doing on the internet!
Check my previous blogs:
– Setup pfBlockerNG python mode with pfSense
– How to run pfSense Plus on VMware vSphere 8
Set up network-wide ad-blocking and tracking protection using pfSense and pfBlocker-NG Read More
pfSense is a very powerful firewall and in this video, I will show you how to run pfSense Plus on VMware vSphere 8. By virtualizing pfSense you can now take advantage of the flexibility already there when using VMware vSphere 8.
You can find more information about pfSense in the links below:
– https://docs.netgate.com/pfsense/en/latest/recipes/virtualize-esxi.html
– https://www.pfsense.org/download/
– https://www.netgate.com/pfsense-plus-software/software-types
– https://shop.netgate.com/products/pfsense-software-subscription
In this video, I will show you how to set up GPU passthrough for an Intel GPU for a Ubuntu virtual machine running on VMware vSphere 8. This way you can use the performance that GPU has for transcoding, encoding, or decoding large video files without stressing the CPU on your VMware ESXi host.
Official documentation from Intel to install graphics drivers on Ubuntu can be found here. Below are all the commands I used to install the drivers on my Ubuntu virtual machine:
sudo apt-get update sudo apt-get install -y gpg-agent wget wget -qO - https://repositories.intel.com/gpu/intel-graphics.key | \ sudo gpg --dearmor --output /usr/share/keyrings/intel-graphics.gpg echo "deb [arch=amd64 signed-by=/usr/share/keyrings/intel-graphics.gpg] https://repositories.intel.com/gpu/ubuntu jammy/production/2328 unified" | \ sudo tee /etc/apt/sources.list.d/intel-gpu-jammy.list sudo apt-get update wget -qO - https://repositories.intel.com/gpu/intel-graphics.key | \ sudo gpg --dearmor --output /usr/share/keyrings/intel-graphics.gpg echo "deb [arch=amd64 signed-by=/usr/share/keyrings/intel-graphics.gpg] https://repositories.intel.com/gpu/ubuntu jammy unified" | \ sudo tee /etc/apt/sources.list.d/intel-gpu-jammy.list sudo apt-get update sudo apt-get install -y intel-i915-dkms xpu-smi sudo reboot -h now sudo apt-get install -y \ intel-opencl-icd intel-level-zero-gpu level-zero \ intel-media-va-driver-non-free libmfx1 libmfxgen1 libvpl2 \ libegl-mesa0 libegl1-mesa libegl1-mesa-dev libgbm1 libgl1-mesa-dev libgl1-mesa-dri \ libglapi-mesa libgles2-mesa-dev libglx-mesa0 libigdgmm12 libxatracker2 mesa-va-drivers \ mesa-vdpau-drivers mesa-vulkan-drivers va-driver-all vainfo hwinfo clinfo sudo apt-get install intel-gpu-tools sudo reboot -h nowIntel GPU passthrough for Ubuntu VM running on VMware vSphere 8 Read More
A while ago I made a video on how to create a storage pool on M.2 NVMe’s which you have in those slots in your Synology. Check that video here. In this video, I will show you how to move your docker containers to that new volume, take advantage of those M.2 NVMe’s performance, and keep all the persistent data and configuration.
In this video, I will show you how to set up a Two-Node VMware vSAN Cluster with vSAN version 8.0 and benefit from all the enterprise features you would get when using a dedicated SAN infrastructure.
Check the links below for more information on VMware vSAN:
– https://docs.vmware.com/en/VMware-vSphere/8.0/vsan-planning/GUID-18F531E9-FF08-49F5-9879-8E46583D4C70.html
– https://docs.vmware.com/en/VMware-vSphere/8.0/vsan-planning/GUID-80EB3F83-E608-4F1F-8FDC-7CA9078E8922.html