I'm doing an experiment with training a chat bot on the history of our team Slack channel to see if it could be used to answer frequently asked questions. The first step is getting the channel history into a format I can feed into a model, and because I'm not an admin on the server I can't use the built-in tools to do it. Fortunately there are other ways, and in this post I'm going to go over the process I used.
Like most tech companies these days, Red Hat is encouraging everyone to brush up on their AI knowledge. For my part I have been doing a number of online training courses lately and thought I would write up my experience for posterity.
Just a quick announcement of a tool I wrote recently to help with debugging of Keepalived behavior in an OpenShift On-Prem IPI cluster. This is specifically intended to handle the logs from the keepalived pods running in the openshift-[platform]-infra namespace, although with a little work it could probably be generalized to work with most any Keepalived configuration.
I recently helped track down a bug exposed by a recent oslo.privsep release that added threading to allow parallel privileged calls. It was a segfault happening in the privsep daemon that was caused by a C call in a privileged Neutron module. This, as you might expect, was a little tricky to debug so I thought I'd document the process for posterity.
So you're writing a Python application and you want to talk to an OpenStack service. Or maybe even multiple services. A quick Google turns up something like python-novaclient, which provides a way to create an instance of a Nova client in Python. Great! We're done here, right? Not so fast, my friend.
