> For the complete documentation index, see [llms.txt](https://docs.cloudfabrix.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.cloudfabrix.io/cfx-aia/enterprisediscovery/cfxedgecollector.md).

# cfxEdgeCollector

## **cfxEdgeCollector**

cfxEdgeCollector is a discovery tool which collects the inventory data of IT assets. It uses industry standard protocols to collect IT asset inventory over the network. It uses the following protocols for asset discovery and data collection:

●      SNMP

●      SSH(CLI)

●      WMI (Windows environment)

●      API

The collected inventory data of IT assets can be utilized by other CloudFabrix products  **on demand** for IT Asset Lifecycle Management or Cloudfabrix's Asset Intelligence Advisor (AIA).

#### **Key Benefits of cfxEdgeCollector**

●    It can be installed on any supported Linux OS distribution.

●      Device credentials are secured within the customer environment.

●      Collected data is formatted in a human readable JSON format for review and audit.

●      Flexible discovery rules that can be optimized as per user needs.

●      Allows the collection of asset inventory data in a secure fashion (locally or via remote method).

●      It can scale from a few hundred to thousands of devices and applications in a datacenter.

cfxEdgeCollector currently supports discovery and data collection of the following devices and assets:

1\)    Networking devices in a fabric

2\)    VMware Virtual Infrastructure

3\)    Windows OS

4\)    Unix/Linux OS

5\)    Software / Applications 

6\)    Application Connections


---

# 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.cloudfabrix.io/cfx-aia/enterprisediscovery/cfxedgecollector.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.