Operations | Monitoring | ITSM | DevOps | Cloud

June 2022

Anomaly rate in every chart

A month ago, we introduced unsupervised ML & Anomaly Detection in Netdata, the Anomaly Advisor. Today, we’re happy to announce that we’re bringing anomaly rates to every chart in Netdata Cloud. Anomaly information is no longer limited to the Anomalies tab and will be accessible to you from the Overview and Single Node View tabs as well. This will make your troubleshooting journey easier, as you will have the anomaly rates for any metric available with a single click.

Metric Correlations on the Agent

As of v1.35.0 the Netdata Agent can now run Metric Correlations (MC) itself. This means that, for nodes with MC enabled, the Metric Correlations feature just got a whole lot faster! The Netdata Metric Correlations feature uses a Two Sample Kolmogorov-Smirnov test to look for which metrics have a significant distributional change around a highlighted window of interest.

Netdata Agent release v1.35

The latest Netdata Agent release v1.35 introduces massive improvements for the machine learning-powered Anomaly Advisor, Metric Correlations, Kubernetes monitoring, and much more. Anomaly Advisor & on-device Machine Learning This release features a launch of the flagship machine learning (ML) assisted troubleshooting Anomaly Advisor. Unsupervised ML models are trained for every metric, at the edge, on your devices, enabling real-time anomaly detection across all your systems and applications.

Monitoring Ubuntu 20.04 and Activating ML with Netdata

Sometimes a hat is just a hat, the truth is just the truth, and the clearly most popular example of a category is plain to see. In this case, Ubuntu is the most popular Linux distribution currently available. With the operating system’s superior popularity also comes an amazing amount of community support.

Test Driving Machine Learning (ML) Anomaly Advisor

Netdata’s new Anomaly Advisor feature lets you quickly identify potentially anomalous metrics during a particular timeline of interest. This results in considerably speeding up your troubleshooting workflow and saving valuable time when faced with an outage or issue you are trying to root cause.

Anomaly Advisor Case Study - K6 Load Test

In this video, our Analytics & ML Lead, Andrew Maguire, walks through an example case study using the K6 load testing platform to run a load test against some of our demo servers running Netdata. Watch in real-time as the Anomaly Advisor reacts to the load test and painlessly surfaces the most anomalous metrics, making it easy to just "see" the load test and how it plays out on the servers.