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

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+<!--
+title: "Use Netdata standalone or as part of your monitoring stack"
+description: "Netdata can run independently or as part of a larger monitoring stack thanks to its flexibility, interoperable core, and exporting features."
+custom_edit_url: https://github.com/netdata/netdata/edit/master/docs/overview/netdata-monitoring-stack.md
+-->
+
+# Use Netdata standalone or as part of your monitoring stack
+
+Netdata is an extremely powerful monitoring, visualization, and troubleshooting platform. While you can use it as an
+effective standalone tool, we also designed it to be open and interoperable with other tools you might already be using.
+
+Netdata helps you collect everything and scales to infrastructure of any size, but it doesn't lock-in data or force you
+to use specific tools or methodologies. Each feature is extensible and interoperable so they can work in parallel with
+other tools. For example, you can use Netdata to collect metrics, visualize metrics with a second open-source program,
+and centralize your metrics in a cloud-based time-series database solution for long-term storage or further analysis.
+
+You can build a new monitoring stack, including Netdata, or integrate Netdata's metrics with your existing monitoring
+stack. No matter which route you take, Netdata helps you monitor infrastructure of any size.
+
+Here are a few ways to enrich your existing monitoring and troubleshooting stack with Netdata:
+
+## Collect metrics from Prometheus endpoints
+
+Netdata automatically detects 600 popular endpoints and collects per-second metrics from them via the [generic
+Prometheus collector](https://learn.netdata.cloud/docs/agent/collectors/go.d.plugin/modules/prometheus). This even
+includes support for Windows 10 via [`windows_exporter`](https://github.com/prometheus-community/windows_exporter).
+
+This collector is installed and enabled on all Agent installations by default, so you don't need to waste time
+configuring Netdata. Netdata will detect these Prometheus metrics endpoints and collect even more granular metrics than
+your existing solutions. You can now use all of Netdata's meaningfully-visualized charts to diagnose issues and
+troubleshoot anomalies.
+
+## Export metrics to external time-series databases
+
+Netdata can send its per-second metrics to external time-series databases, such as InfluxDB, Prometheus, Graphite,
+TimescaleDB, ElasticSearch, AWS Kinesis Data Streams, Google Cloud Pub/Sub Service, and many others.
+
+To [export metrics to external time-series databases](/docs/export/external-databases.md), you configure an [exporting
+_connector_](/docs/export/enable-connector.md). These connectors support filtering and resampling for granular control
+over which metrics you export, and at what volume. You can export resampled metrics as collected, as averages, or the
+sum of interpolated values based on your needs and other monitoring tools.
+
+Once you have Netdata's metrics in a secondary time-series database, you can use them however you'd like, such as
+additional visualization/dashboarding tools or aggregation of data from multiple sources.
+
+## Visualize metrics with Grafana
+
+One popular monitoring stack is Netdata, Graphite, and Grafana. Netdata acts as the stack's metrics collection
+powerhouse, Graphite the time-series database, and Grafana the visualization platform. With Netdata at the core, you can
+be confident that your monitoring stack is powered by all possible metrics, from all possible sources, from every node
+in your infrastructure.
+
+Of course, just because you export or visualize metrics elsewhere, it doesn't mean Netdata's equivalent features
+disappear. You can always build new dashboards in Netdata Cloud, drill down into per-second metrics using Netdata's
+charts, or use Netdata's health watchdog to send notifications whenever an anomaly strikes.
+
+## What's next?
+
+Whether you're using Netdata standalone or as part of a larger monitoring stack, the next step is the same: [**Get
+Netdata**](/docs/get/README.md).
+
+[![analytics](https://www.google-analytics.com/collect?v=1&aip=1&t=pageview&_s=1&ds=github&dr=https%3A%2F%2Fgithub.com%2Fnetdata%2Fnetdata&dl=https%3A%2F%2Fmy-netdata.io%2Fgithub%2Fdocs%2Foverview%2Fnetdata-monitoring-stacka&_u=MAC~&cid=5792dfd7-8dc4-476b-af31-da2fdb9f93d2&tid=UA-64295674-3)](<>)