graylog VS Installation

Graylog: An open source log management platform that provides real-time visibility into security events and facilitates incident response.

https://www.graylog.org/ but might be overkill.

Looks like the fix for this went in on March 28 and this should have been included in the April bugfix release 5.0.6

Sure! I use the Open Source of Graylog to search and build reports from the data. It sits on its own Droplet

Check out Graylog - https://www.graylog.org/ Graylog stores everything in elasticssearch, so you gan also use it as a datasource in Grafana.

Graylog

I use this to monitor my reverse proxy (SWAG) and fail2ban logs in conjunction. It's not as streamlined as GoAccess, GrayLog, Grafana, etc . . . but it is very personal. I divide all my connections into three buckets: Home, Outside, and Known Devices; and fail2ban statistics are layered against the all connections.

Graylog is an open-source centralized log management and analytics tool. It collects, enhances, correlates, searches, and visualizes all your log data in one location to uncover patterns and trends for application and IT infrastructure.

"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