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.
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.
In our first Netdata Meetup, Thiago Marques will present and show you how to install Netdata from scratch on a specific host and demonstrate how to understand navigating through the many, in-depth Netdata dashboards. Thiago will also cover understanding metric distribution. Monitoring is not only to visualize collected data, which is why we will show where host notifications are, and how to access A.I. to simplify even more the correlation between issues and hardware/software.