Operations | Monitoring | ITSM | DevOps | Cloud

Latest Videos

Install Netdata to get started monitoring Linux in minutes

Install Netdata to monitor your Linux servers using our one-line installer. Install on physical, virtual, container, and IoT nodes. Netdata’s free, open-source monitoring agent works with Netdata Cloud to help you monitor and troubleshoot every layer of your systems to find weaknesses before they turn into outages.

How to monitor Docker containers using Netdata health and performance

Learn how to connect and claim a Docker node to start monitoring with Netdata in minutes. See information like system CPU, available memory, disk usage, total network bandwidth, and much more. Netdata’s free, open-source monitoring agent works with Netdata Cloud to help you monitor and troubleshoot every layer of your systems to find weaknesses before they turn into outages.

Netdata's Nodes view for troubleshooting system health and performance

This video introduces you to the Netdata Nodes view. Use this view to visualize and customize metrics from any number of Agent-monitored nodes and navigate to any specific nodes within the dashboard. View key monitoring metrics like CPU utilization, memory usage, disk usage, network traffic, and much more to get started troubleshooting performance issues or anomalies. Netdata’s free, open-source monitoring agent works with Netdata Cloud to help you monitor and troubleshoot every layer of your systems to find weaknesses before they turn into outages.

Intro to Netdata Overview for monitoring and troubleshooting your IT infrastructure

Learn how to get started monitoring and troubleshooting your entire Cloud infrastructure with Netdata. In this video, we'll show you how to utilize the Netdata Overview dashboard to gain visibility into the performance, availability, and health of your infrastructure from a single pane of glass. Navigate from a real-time, unified display of all your systems and applications to discover trends and gain better observability, then drill down by grouping metrics by node for root cause analysis.

Start Kubernetes monitoring in 5 minutes with Netdata

While Kubernetes (k8s) might simplify the way you deploy, scale, and load-balance your applications, not all clusters come with "batteries included" when it comes to monitoring. Doubly so for a monitoring stack that helps you actively troubleshoot issues with your cluster. You need robust Kubernetes monitoring, but you don’t want to spend a week setting it up, much less a single valuable day.

Creating your first health alarm in Netdata

The per-second metrics and interactive visualizations in the Netdata Agent don’t mean much if you don’t know what you should be looking at, or whether anything is going wrong on your node in the first place. That’s why Netdata has a built-in health watchdog to notify you when metrics show an anomaly or full-blown incident that demands your immediate attention. Every Netdata Agent comes with hundreds of preconfigured charts that you don’t need to edit in order to take advantage of, but you may want to create your own based on your infrastructure, node, workload, or applications.

Go from 0 to monitoring in minutes with Netdata

Netdata is zero-configuration monitoring. It’s a principle that we’ve stood behind since the project’s beginning, when it was only our CEO Costa trying to solve a “painful, real-world problem,” and it’s one we stand by today. Our insistence on zero-configuration guides every product decision we make, every grooming process, and every React component our frontend teams design.

Introducing composite charts and Metric Correlations

We're really excited about supercharging Netdata Cloud's infrastructure monitoring experience with composite charts. These charts look just like the ones you're familiar with, but feature real-time, per-second aggregated metrics from any number of distributed nodes from across your infrastructure. You can still pan, zoom, and highlight to your heart's content while also changing the aggregate function, filtering nodes, or jumping straight into single-node dashboards for root cause analysis.