Following on from the recent launch of our Anomaly Advisor feature, and in keeping with our approach to machine learning, here is a detailed Python notebook outlining exactly how the machine learning powering the Anomaly Advisor actually works under the hood.
Or if you'd rather watch a video walkthrough of the notebook then check out below.
Try it for yourself, get started by signing in to Netdata and connecting a node. Once initial models have been trained (usually after the agent has about one hour of data, zero configuration needed), you'll be able to start exploring in the Anomaly Advisor tab of Netdata.
We'd love any feedback as you try this new feature out. Please feel free to leave feedback in the Netdata community, discord, GitHub discussions or just drop us an email at [email protected].