Guides

Learn about Netdata's many features and capabilities in a guided experienced designed for those new to monitoring and troubleshooting.

In this introductory step, we'll talk about the fundamental ideas, philosophies, and UX decisions behind Netdata.

Visit Netdata's dashboard to explore, manipulate charts, and check out alarms. Get your first taste of visual anomaly detection.

While the dashboard lets you quickly move from one agent to another, Netdata Cloud is our SaaS solution for monitoring the health of many systems. We'll cover its features and the benefits of using Netdata Cloud on top of the dashboard.

While Netdata can monitor thousands of metrics in real-time without any configuration, you may want to tweak some settings based on your system's resources.

Learn how to tune, silence, and write custom alarms. Then enable notifications so you never miss a change in health status or performance anomaly.

Learn how to enable/disable collection plugins and configure a collection plugin job to add more charts to your Netdata dashboard and begin monitoring more apps and services, like MySQL, Nginx, MongoDB, and hundreds more.

Now that you configured your Netdata monitoring agent to your exact needs, you'll dive back into metrics snapshots, updates, and the dashboard's settings.

Using simple HTML, CSS, and JavaScript, we'll build a custom dashboard that displays essential information in any format you choose. You can even monitor many systems from a single HTML file.

By default, Netdata can store lots of real-time metrics, but you can also tweak our custom database engine to your heart's content. Want to take your Netdata metrics elsewhere? We're happy to help you archive data to Prometheus, MongoDB, TimescaleDB, and others.

Run Netdata behind an Nginx proxy to improve performance, and enable TLS/HTTPS for better security.

Learn how to store metrics to your hard drive.

Enable Netdata's machine learning algorithm to spot anomalies effortlessly.

Learn how to monitor any custom application instrumented with StatsD with per-second metrics and fully customizable, interactive charts.

Use a low-overhead machine learning algorithm and an open-source monitoring tool to detect anomalous metrics on a Raspberry Pi.

Set up robust LAMP stack monitoring (Linux, Apache, MySQL, PHP) in just a few minutes using a free, open-source monitoring tool that collects metrics every second.

Detect anomalies in any system, container, or application in your infrastructure with machine learning and the open-source Netdata Agent.

Using unsupervised anomaly detection, trigger alarms seconds after your mission-critical metrics behave strangely, then visualize everything in parallel to find the root cause.

Tap into Netdata's powerful collectors, with per-second utilization metrics for every process, to troubleshoot faster and make data-informed decisions.

Use Netdata's helmchart, service discovery plugin, and Kubelet/kube-proxy collectors for real-time visibility into your Kubernetes cluster.

Using this guide, you'll learn the fundamentals of setting up Netdata to give you kernel-level metrics from your application so that you can monitor, troubleshoot, and debug to your heart's content.

Netdata helps you monitor and troubleshoot all kinds of devices and the applications they run, including IoT devices like the Raspberry Pi and applications like Pi-hole.

This guide will walk you through using the new Go-based web log collector to turn the logs these web servers constantly write to into real-time insights into your infrastructure.

This guide will show you how to collect dozens of essential metrics from your Unbound servers with minimal configuration.

Collect more than 50 unique metrics from CockroachDB databases and put them on interactive visualizations designed for better visual anomaly detection.

Netdata comes with built-in and pre-configured support for monitoring both HDFS and Zookeeper.

Learn how to disable select alarms to minimize distractions.

While the Netdata Agent is designed to monitor a system with only 1% CPU, you can optimize its performance for low-resource systems.

Let's take a peek into how to create host labels and apply them across a few of Netdata's features to give you more organization power over your infrastructure.

Dimension templates can condense many individual entities into one—no more copy-pasting one entity and changing the alarm/template and lookup lines for each dimension you'd like to monitor.

Deploy an infrastructure monitoring solution in minutes with the Netdata Agent and Ansible. Use and customize a simple playbook for monitoring as code.

Learn how write a custom data collector in Python, which you'll use to collect metrics from and monitor any application that isn't supported out of the box.

In this guide, we'll show you how to export Netdata metrics to Graphite for long-term storage and further analysis.