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.
I look into Vitess, talking about the different benefits of distributed database services, and create a quick Proof Of Concept to show how the system is put together.
We will compare java build tools. By comparing Ant vs Maven and Maven vs Gradle we will figure out if Gradle or Maven will be the best tool to use. Ant is the old build tool that is not used much but is still good to know about. Please follow me on twitter Tweets by…
In this video we’re looking into Ceph performance! We’ll be comparing different storage solutions and versions, specifically Pacific and Quincy, to see how they stack up against each other. We’ll cover everything from speed and efficiency to scalability and reliability.
In this video we look into the new preview features for connecting java applications to native libraries and run functions. We test both running against libraries loaded in the system and we also load a custom library we built from C code.
We look into high availability using Heartbeat and DRBD. Heartbeat is a software to monitor and failover when a machine is unresponsive and DRBD can help you replicate data between machines making your setup highly available. This solution can help you doing maintenance work without downtime. Git repository: https://ift.tt/2YdYVbQ Please follow me on twitter Tweets…
We solve the day 13 challenges for the Advent of Code. Please follow me on twitter Tweets by kalaspuffar Outro music: Sanaas Scylla