In a previous post I talked about how to deploy serverless functions to an OpenFaaS cluster with ease. This post expands on this to show how we deployed a Machine Learning algorithm to colourise black & white videos using OpenFaaS. We presented the end result of this at DockerCon EU 2017 in the Community Theatre in Copenhagen.

Open Functions as a Service or OpenFaaS (lead by Alex Ellis) is a really neat way of implementing serverless functions with Docker. You can build out functions in any programming language and then deploy them to your existing Docker Swarm.

So, DockerCon! It turns out that building cool stuff gets you places. Back in 2016, I built a Docker Swarm from 5 Raspberry Pis by following Captain Alex Ellis’ tutorial and then went on to create two different visualisations for the swarm to demonstrate real time load balancing. This was picked up by Alex who got in touch soon after with the amazing news that Docker wanted to invite me to DockerCon17 in Austin, TX! I was incredibly excited about the prospect and asked if I would be able to give…

When I was 12, I was given a Raspberry Pi. For the first couple of days, it was really fun. After I had browsed the web for a while and played a bit of Minecraft, it sat in it’s box for a few months. I really had no idea what to do with it. That was until I discovered that I could build a website with it.

Although the PiGlow visualisation of CPU usage was pretty, we reckoned we could go a couple of steps further and integrate a much more complete tangible solution - a hardware-driven load monitor dashboard.