Operations | Monitoring | ITSM | DevOps | Cloud

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.

Troubleshoot at scale with our all-new, lightweight Anomaly Advisor, powered by machine learning. The Anomaly Advisor finds periods of time with elevated anomaly rates across your entire infrastructure faster than ever before. This new feature works along with our ML unsupervised models on the edge, making your troubleshooting trouble-free! Even better, the Anomaly Advisor requires minimal configuration and is extremely lightweight. No need to worry about exhausting your CPU usage.

Kubernetes monitoring can be confusing, but we're here to help. With Netdata, you can have high-fidelity monitoring of Kubernetes in a process so easy that we can explain it in just two minutes.

A short walkthrough of the Anomaly Advisor feature in Netdata.

Kubernetes has a bad habit of throttling CPU resources—with the result that you can suffer severely degraded performance or find yourself paying a fortune for extra, unnecessary infrastructure. Watch this video to learn how K8s clusters protect themselves from what they see as heavy CPU usage, and how you can monitor and troubleshoot the problem. We demonstrate how you can:– Use Netdata to reduce API response times by a factor of 7– Expect to reduce infrastructure resource requirements by 60-75%

Your trouble is now our trouble, and we have set up a forum where we can all work together to find the best solutions to our countless out-of-the-box troubleshooting alerts, so you're no longer by yourself when the 💩hits the fan.

Learn exactly what machine learning is and how it takes part in the observability, monitoring, and troubleshooting industry. We'll also cover the future of ML trends within the industry, and how Netdata is staying at the forefront of machine learning development.

Costa Tsaousis, Netdata Founder, CEO, and Chief Troublemaker at Netdata, provides a walkthrough of a use case in which Netdata's Machine Learning-based Anomaly Detection debugged a Raspbian issue.

When no available tool could help Costa Tsaousis identify his own infrastructure problem, he invented one that could. Netdata’s founder, CEO, and Chief Troublemaker tells how his invention went viral, how the Netdata Way transforms monitoring and troubleshooting, and how he plans to keep Netdata free, forever.

Learn all about Netdata Plugins from Thiago Marques. This how-to demo and session includes a Q&A.