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