Adding upstream version 1.39.0.upstream/1.39.0

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

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diff --git a/docs/overview/netdata-monitoring-stack.md b/docs/overview/netdata-monitoring-stack.md
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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://github.com/netdata/go.d.plugin/blob/master/modules/prometheus/README.md). 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](https://github.com/netdata/netdata/blob/master/docs/export/external-databases.md), you configure an [exporting
-_connector_](https://github.com/netdata/netdata/blob/master/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**](https://github.com/netdata/netdata/blob/master/docs/get-started.mdx).
-
-