Sébastien is passionate about artificial intelligence, which inspired him to build Loud ML -- software that enables engineers to implement AI-driven applications 10 times faster. After gaining expertise in building embedded Linux software for telecommunications and Internet service providers, he launched Loud ML in 2018. He joined the Rockstart AI accelerator program in the Netherlands later the same year. In his spare time, Sébastien runs workshops to motivate others to enter the AI arena. He enjoys blues music and artists such as John Mayer.

We're using the TICK-L stack throughout this tutorial; it's the InfluxData TICK stack (Telegraf, InfluxDB, Chronograf, Kapacitor -- four containers, augmented with the machine learning capabilities of Loud ML (one more container). To run all five containers at once, we'll use the Docker compose file available on Github: First, clone the public Loud ML repository, and change the directory to docker/. Then edit the notification settings and optionally the database settings if you have to. For information about these settings, read more about incoming Webhooks in the Slack documentation. Here's our very own sample which you're free to use as a template: All set, then let's start the containers.