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Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>

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+<!--
+title: "Why use Netdata?"
+description: "Netdata is simple to deploy, scalable, and optimized for troubleshooting. Cut the complexity and expense out of your monitoring stack."
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/overview/why-netdata.md
+-->
+
+# Why use Netdata?
+
+Netdata takes a different approach to helping people build extraordinary infrastructure. It was built out of frustration
+with existing monitoring tools that are too complex, too expensive, and don't help their users actually troubleshoot
+complex performance and health issues.
+
+Netdata is:
+
+## Simple to deploy
+
+-   **One-line deployment** for Linux distributions, plus support for Kubernetes/Docker infrastructures.
+-   **Zero configuration and maintenance** required to collect thousands of metrics, every second, from the underlying
+    OS and running applications.
+-   **Prebuilt charts and alarms** alert you to common anomalies and performance issues without manual configuration.
+-   **Distributed storage** to simplify the cost and complexity of storing metrics data from any number of nodes.
+
+## Powerful and scalable
+
+-   **1% CPU utilization, a few MB of RAM, and minimal disk I/O** to run the monitoring Agent on bare metal, virtual
+    machines, containers, and even IoT devices.
+-   **Per-second granularity** for an unlimited number of metrics based on the hardware and applications you're running
+    on your nodes.
+-   **Interoperable exporters** let you connect Netdata's per-second metrics with an existing monitoring stack and other
+    time-series databases.
+
+## Optimized for troubleshooting
+
+-   **Visual anomaly detection** with a UI/UX that emphasizes the relationships between charts.
+-   **Customizable dashboards** to pinpoint correlated metrics, respond to incidents, and help you streamline your
+    workflows.
+-   **Distributed metrics in a centralized interface** to assist users or teams trace complex issues between distributed
+    nodes.
+
+## Comparison with other monitoring solutions
+
+Netdata offers many benefits over the existing monitoring landscape, whether they're expensive SaaS products or other
+open-source tools.
+
+| Netdata                                                         | Others (open-source and commercial)                              |
+| :-------------------------------------------------------------- | :--------------------------------------------------------------- |
+| **High resolution metrics** (1s granularity)                    | Low resolution metrics (10s granularity at best)                 |
+| Collects **thousands of metrics per node**                      | Collects just a few metrics                                      |
+| Fast UI optimized for **anomaly detection**                     | UI is good for just an abstract view                             |
+| **Long-term, autonomous storage** at one-second granularity     | Centralized metrics in an expensive data lake at 10s granularity |
+| **Meaningful presentation**, to help you understand the metrics | You have to know the metrics before you start                    |
+| Install and get results **immediately**                         | Long sales process and complex installation process              |
+| Use it for **troubleshooting** performance problems             | Only gathers _statistics of past performance_                    |
+| **Kills the console** for tracing performance issues            | The console is always required for troubleshooting               |
+| Requires **zero dedicated resources**                           | Require large dedicated resources                                |
+
+## What's next?
+
+Whether you already have a monitoring stack you want to integrate Netdata into, or are building something from the
+ground-up, you should read more on how Netdata can work either [standalone or as an interoperable part of a monitoring
+stack](/docs/overview/netdata-monitoring-stack.md).
+
+