My last post about GitHub Actions left off with a docker container being built when a commit was pushed to the repo. Now this is great if you are building a docker container, for your project, in your current repo. However, for me though that’s not the case. At least not for my Caddy image.
Got Plex running on a Windows machine? Need a script to watch the process and make sure it stays running? Well.. Me too! So I created the PlexWatchDog script! It is 100% written in PowerShell and is completely self contained.. e.g. No modules needed besides PowerShell. The script currently does the following: Monitors Plex locally
The Unifi Dream Machine Pro seems to have an issue passing mDNS traffic for IoT devices between VLANs. Here’s the fix.
Building Alexandzors/Caddy:v2 via GitHub Actions.
My thoughts on the Unifi Dream Machine Pro and USP-Plug from Ubiquiti.
Automating docker container building with Jenkins..
If you are a recurring visitor or happen to just browse the site, you may have noticed the absence of current posts. Lets just say I have been a bit busy… I’ve got some fun projects I have been working on as well as some IRL stuff to handle. I will hopefully be posting a
You may have noticed that both my site [alexsguardian.net] and the Grafana – Experts Exchange wiki going down a lot recently. Here is why: TL/DR: Migrated both sites from my home hosted web server to a dedicated host. I logged into Cloudflare’s dashboard the other day to update a DNS record as I was testing
The other day I came across a Prometheus Exporter for Pi-hole (found in a comment on /r/pihole) that gives WAY more stats/data compared to the InfluxDB script I posted about awhile back. With this exporter, I was able to setup a more detailed dashboard. Now currently I only have this setup for a single instance
The nvida-smi plugin for Telegraf basically gives you an overview of your GPU usage in the most current iteration in v1.10.4. This “guide” assumes you are using Windows as your host OS. Linux should be fairly easy to get going as long as you know where your nvidia-smi executable is located. If you do not