Installation VS Fog

"The site" is actually just their blog. The github repo at https://github.com/netbox-community/netbox is more like the real homepage and has a good presentation.

Sweet! If it ends up anything like Netbox it will be so sweet. By looking at the screenshots I am very excited to see this implemented!

NetBox Release v3.6.6 is now live (as of November 29, 2023)!

Take a look at netbox. https://netbox.dev/

Pre-trained systems dominate AI today (as deep as the P in GPT). My team and I have been researching and building alternatives given how the hallucination, blackbox and other problems don't seem solvable within* the current paradigm.

One of our first applications is a network automation solution for Netbox-- locally trained AI Agents unique to each Netbox account to predict roles of newly added devices given the current local list of devices, like a context-aware autocomplete.

Agents are lightweight by design, this particular Netbox Agent is 40-neuron, and when hooked up demo.netbox.dev and consistently gets 80%+ accuracy predicting device roles even when trained on ~60 devices only.

Try it out: https://aolabs-netbox.streamlit.app/

You can use dummy data from demo.netbox.dev. More on Netbox: https://github.com/netbox-community/netbox

We'd keen for feedback, if this is useful, how we could extend it if it is, or if it sparks other application ideas.

* Somebody has to be the pre-trainer, leaving an irreducible gap of misunderstanding between AI and its application which we are trying to diminish by adding a layer of local training.

Before upgrading, please: 1. Verify in release notes changelog if any new breaking changes might affect you. You can also review the NetBox Issues on GitHub to see if any new issues have arisen that might affect you. 2. Next, refer to the Upgrading to a new NetBox Release guide for steps to upgrade your instance.

I've been looking into some projects for some opensource software i use and noticed a few of them have empty __init__.py files (for example https://github.com/netbox-community/netbox/blob/develop/netbox/core/__init__.py)

IT wise, It's been a fair few years since I've been in a department that does asset management, we used to use GLPI with it's warts and all, which got replace with https://github.com/netbox-community/netbox

I heard about devbox [1] but I haven't tried it yet. Perhaps it could suit your needs.

Back in the day I used "Norton Ghost" to create a full image of a just-installed windows just in case I needed to go back in time. Windows includes a snapshot feature built-in but I did not really trusted it. These days you can use a "sysprep" tool [2] to create a similar system snapshot. Make a partition and keep everything you don't want deleted on drive D: or something :-).

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1: https://www.jetpack.io/devbox

2: like https://www.ntlite.com or https://fogproject.org

For provisioning the machines base image consider FOG it uses PXE and can remotely provision dozens of machines using multicast.

Same. We set up 1 device how we want to, then use FOG to clone the other devices

With standard computers, I usually deploy something like the fog project and automate the process over pxe with scheduled reboots. I guess you could do that as well with your VMs but that seems overkill.

you could setup a PXE server and automate installs. you could also clone them and reapply the image as needed. https://fogproject.org/ or lookup CloneZilla both are open source

Free: https://fogproject.org/ or https://clonezilla.org/

Microsoft used to have a free tool called SteadyState to do this, but it's been discontinued for a while. It took a different approach of undoing changes rather than restoring from image but it worked great with Kiosk mode. There are remote management tools that can wipe and reimage managed machines, most of them don't require an AD domain. As an example FOG Project.