Keeping track of your disks in a Ceph cluster is important so you could replace them in time before data loss. In this video we look into how to use SMART data to run a machine learning prediction in order predict when a disk fails. SmartMonTools is used locally to fetch the data. The data is saved in the cluster and then the prediction will show you the estimate time until failure.
We set up a simple Polymer 3.0 element and then transform it to use lit-html
We look into Ceph Rados and try to figure out how Ceph stores data. The main goal is to read data from one cluster as raw objects and write it back to another cluster.
We talk about building language compilers and their usages within linux.
We look into setting up a local copy of jitsi video conference solution on a clean Debian install. We also try it out and see how it impacts the installed server.
I’m trying to solve all the Advent of Code puzzles in this video series.
We solve today’s challenge at the advent of code 2020. Come join us and have some fun.