> ## Documentation Index
> Fetch the complete documentation index at: https://tensorfuse.io/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Environments

> Environments help you isolate your resources and manage your deployments.

Environments are logical divisions in your Tensorfuse runtime that enable you to deploy the same application (or a group of applications) in multiple instances for distinct purposes.
For example, you can have a `dev` environment, a `staging` environment, and a `production` environment. Each environment can have its own set of resources, configurations, and deployments.

Tensorfuse has a `default` environment when it is initially configured and all your deployments without the `--env` flag are deployed in the `default` environment. New environments
can be created using the following CLI command :-

```bash theme={null}
tensorkube environment create --env-name <env-name>
```

You can list all the created environments using the following command :-

```bash theme={null}
tensorkube environment list
```

Most CLI commands also support an `--env` flag that allows you to specify the environment in which you want to run the command. For example, to deploy an application in the `staging` environment, you can run the following command :-

```bash theme={null}
tensorkube deploy --env staging
```

You can list deployments in a specific environment using the following command :-

```bash theme={null}
tensorkube list deployments --env staging
```

To list deployments across all environments, you can run the following command :-

```bash theme={null}
tensorkube list deployments --all
```