# delete

The vcluster command is used to remove a virtual cluster from a project. This command deletes a specific virtual cluster based on the provided name and project ID.

## Usage

```
cldkctl vcluster delete [flags]
```

## Aliases

```
delete, rm
```

## Steps

1. Run the following command in your terminal:

```
cldkctl vcluster delete --name [vcluster name] --project [project ID] 
```

2. Replace `[vcluster name]` with the name of the virtual cluster to be deleted. The cluster name can be obtained from the vcluster list section.
3. Replace `[project ID]` with the corresponding project identifier. The project ID can be found in the project list section.
4. Once completed successfully, the terminal displays the message **"✓ VCluster deleted successfully!"**

<figure><img src="/files/4ZZBkSyvpDN0KeSsBPLa" alt=""><figcaption></figcaption></figure>

## Flags

{% hint style="info" %}
This command supports [global flags.](/guidance-for-individual/cloudeka-api-list/global-flags.md) Refer to the Global Flags section for details
{% endhint %}

| Flag                 | Description                           |
| -------------------- | ------------------------------------- |
| -h, --help           | Help for the vcluster delete command. |
| -n, --name string    | Specify virtual cluster name.         |
| -p, --project string | Specify project ID.                   |

<br>


---

# 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:

```
GET https://docs.cloudeka.ai/guidance-for-individual/cloudeka-api-list/command-reference/cldkctl-vcluster/delete.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.