> For the complete documentation index, see [llms.txt](https://docs.fusion.vectra.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.fusion.vectra.ai/netoflow-connector/quickstart.md).

# Quickstart: Run NetoFlow

Installing and running NetoFlow is part of the steps to [Ingest NetFlow/sFlow via the NetoFlow Connector](/ingest-network-traffic-logs/netflow-sflow/traffic-source-netoflow.md).

If you have a Docker host, you can run NetoFlow in only a few seconds.

1. Create a new API key in the Fusion Portal from the **Settings > User Management > API Keys** page using the role `neto_flow` and copy the `netosecret` value provided to you. Set this in the `NETOSECRET` environment variable on your Docker host.
2. Run this command on your Docker host:

```
docker run -e NETO__ENDPOINT__NETOSECRET="$NETOSECRET" \
  -p 2055:2055 -p 8080:8080 \
  --name netoflow \
  --platform linux/amd64 \
  public.ecr.aws/netography/netoflow:latest
```

3\. You can now send NetFlow and sFlow to UDP port 2055 on your Docker host. Ensure there are no local firewalls that may be blocking this traffic. Once you are delivering flow records to the host, check they are being received and processed by reading the statistics from the NetoFlow API:

`curl localhost:8080/api/v1/stats/rate`

To see all the details and options for configuring and running the NetoFlow container, see [Install NetoFlow (container)](/netoflow-connector/install-container.md). To install and run NetoFlow on your own Linux system, see [Install NetoFlow (Linux package)](/netoflow-connector/install-linux.md).


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.fusion.vectra.ai/netoflow-connector/quickstart.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.