Netdata's Lead Machine Learning Engineer, Andrew Maguire, walks through how to configure the all-new Anomaly Advisor. This new feature lets you troubleshoot in real-time, at scale, by identifying periods of time with raised anomaly rates across your entire infrastructure.

In this guided video, Andrew will explain how to enable Netdata's ML functionality then, how to set up unsupervised anomaly detection with minimal configuration, and lastly how the Anomaly Advisor works to speed up troubleshooting when an incident occurs.

00:00 - Introduction

00:45 Check out the docs

1:20 One line configuration set up

2:00 Configuration descriptions

2:30 Sane defaults

2:47 Parent-child topologies

3:35 Configuration demo

8:43 Anomaly Advisor demo

12:54 How parent-child configuration works

14:45 Supporting debug charts in Netdata's monitoring menu

Want to learn more? Check our documentation where you can find more information on how the ML-powered Anomaly Advisor works and how to enable this feature: https://learn.netdata.cloud/docs/configure/machine-learning

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