doctl is a command line interface for the DigitalOcean API.
Usage:
doctl [command]
Available Commands:
account account commands
auth auth commands
completion completion commands
compute compute commands
databases database commands
help Help about any command
kubernetes kubernetes commands
projects projects commands
version show the current version
Flags:
-t, --access-token string API V2 access token
-u, --api-url string Override default API V2 endpoint
-c, --config string config file (default is $HOME/.config/doctl/config.yaml)
--context string authentication context name
-h, --help help for doctl
-o, --output string output format [text|json] (default "text")
--trace trace api access
-v, --verbose verbose output
Use "doctl [command] --help" for more information about a command.
- doctl
A package manager allows you to install and keep up with new doctl versions using only a few commands.
Our community distributes doctl via a growing set of package managers in addition to the officially
supported set listed below; chances are good a solution exists for your platform.
Use Homebrew to install doctl on macOS:
brew install doctl
doctl is also available via MacPorts. Note that
the port is community maintained and may not be on the latest version.
Use Snap on Snap-supported systems to
install doctl:
sudo snap install doctl
Using kubectl requires the kube-config personal-files connection for doctl:
sudo snap connect doctl:kube-config
Using doctl compute ssh requires the core ssh-keys interface:
sudo snap connect doctl:ssh-keys :ssh-keys
Arch users not using a package manager can install from the AUR.
Users of NixOS or other supported
platforms may install doctl from
Nixpkgs. Please note
this package is also community maintained and may not be on the latest
version.
Containers for each release are available under the digitalocean
organization on Docker Hub.
Links to the containers are available in the github releases.
Visit the Releases
page for the
doctl GitHub project, and find the
appropriate archive for your operating system and architecture.
Download the archive from from your browser or copy its URL and
retrieve it to your home directory with wget or curl.
For example, with wget:
cd ~
wget https://github.com/digitalocean/doctl/releases/download/v<version>/doctl-<version>-linux-amd64.tar.gz
Or with curl:
cd ~
curl -OL https://github.com/digitalocean/doctl/releases/download/v<version>/doctl-<version>-linux-amd64.tar.gz
Extract the binary:
tar xf ~/doctl-<version>-linux-amd64.tar.gz
Or download and extract with this oneliner:
curl -sL https://github.com/digitalocean/doctl/releases/download/v<version>/doctl-<version>-linux-amd64.tar.gz | tar -xzv
where <version> is the full semantic version, e.g., 1.17.0.
On Windows systems, you should be able to double-click the zip archive to extract the doctl executable.
Move the doctl binary to somewhere in your path. For example, on GNU/Linux and OS X systems:
sudo mv ~/doctl /usr/local/bin
Windows users can follow How to: Add Tool Locations to the PATH Environment Variable in order to add doctl to their PATH.
If you have
Docker
configured, you can build a local Docker image using doctl's
Dockerfile
and run doctl within a container.
docker build --tag=doctl .
Then you can run it within a container.
docker run --rm --interactive --tty --env=DIGITALOCEAN_ACCESS_TOKEN="your_DO_token" doctl any_doctl_command
If you have a Go environment
configured, you can install the development version of doctl from
the command line.
go get github.com/digitalocean/doctl/cmd/doctl
While the development version is a good way to take a peek at
doctl's latest features before they get released, be aware that it
may have bugs. Officially released versions will generally be more
stable.
doctl uses Go modules with vendoring.
In order to use doctl, you need to authenticate with DigitalOcean by providing an access token, which can be created from the Applications & API section of the Control Panel. You can learn how to generate a token by following the DigitalOcean API guide.
Docker users will have to use the DIGITALOCEAN_ACCESS_TOKEN environmental variable to authenticate, as explained in the Installation section of this document.
If you're not using Docker to run doctl, authenticate with the auth init command.
doctl auth init
You will be prompted to enter the DigitalOcean access token that you generated in the DigitalOcean control panel.
DigitalOcean access token: your_DO_token
After entering your token, you will receive confirmation that the credentials were accepted. If the token doesn't validate, make sure you copied and pasted it correctly.
Validating token: OK
This will create the necessary directory structure and configuration file to store your credentials.
doctl allows you to log in to multiple DigitalOcean accounts at the same time and easily switch between them with the use of authentication contexts.
By default, a context named default is used. To create a new context, run doctl auth init --context <new-context-name>. You may also pass the new context's name using the DIGITALOCEAN_CONTEXT environment variable. You will be prompted for your API access token which will be associated with the new context.
To use a non-default context, pass the context name to any doctl command. For example:
doctl compute droplet list --context <new-context-name>
To set a new default context, run doctl auth switch --context <new-context-name>. This command will save the current context to the config file and use it for all commands by default if a context is not specified.
The --access-token flag or DIGITALOCEAN_ACCESS_TOKEN variable are acknowledged only if the default context is used. Otherwise, they will have no effect on what API access token is used. To temporarily override the access token if a different context is set as default, use doctl --context default --access-token your_DO_token ....
The doctl configuration file is used to store your API Access Token as well as the defaults for command flags. If you find yourself using certain flags frequently, you can change their default values to avoid typing them every time. This can be useful when, for example, you want to change the username or port used for SSH.
On OS X, doctl saves its configuration as ${HOME}/Library/Application Support/doctl/config.yaml. The ${HOME}/Library/Application Support/doctl/ directory will be created once you run doctl auth init.
On Linux, doctl saves its configuration as ${XDG_CONFIG_HOME}/doctl/config.yaml if the ${XDG_CONFIG_HOME} environmental variable is set, or ~/.config/doctl/config.yaml if it is not. On Windows, the config file location is %APPDATA%\doctl\config.yaml.
The configuration file is automatically created and populated with default properties when you authenticate with doctl for the first time. The typical format for a property is category.command.sub-command.flag: value. For example, the property for the force flag with tag deletion is tag.delete.force.
To change the default SSH user used when connecting to a Droplet with doctl, look for the compute.ssh.ssh-user property and change the value after the colon. In this example, we changed it to the username sammy.
. . .
compute.ssh.ssh-user: sammy
. . .
Save and close the file. The next time you use doctl, the new default values you set will be in effect. In this example, that means that it will SSH as the sammy user (instead of the default root user) next time you log into a Droplet.
doctl also has auto-completion support. It can be set up so that if you partially type a command and then press TAB, the rest of the command is automatically filled in. For example, if you type doctl comp<TAB><TAB> drop<TAB><TAB> with auto-completion enabled, you'll see doctl compute droplet appear on your command prompt.
Note: Shell auto-completion is not available for Windows users.
How you enable auto-completion depends on which operating system you're using. If you installed doctl via Homebrew, auto-completion is activated automatically, though you may need to configure your local environment to enable it.
doctl can generate an auto-completion script with the doctl completion your_shell_here command. Valid arguments for the shell are Bash (bash) and ZSH (zsh). By default, the script will be printed to the command line output. For more usage examples for the completion command, use doctl completion --help.
The most common way to use the completion command is by adding a line to your local profile configuration. At the end of your ~/.profile file, add this line:
source <(doctl completion your_shell_here)
Then refresh your profile.
source ~/.profile
MacOS users will have to install the bash-completion framework to use the auto-completion feature.
brew install bash-completion
After it's installed, load bash_completion by adding following line to your .profile or .bashrc/.zshrc file.
source $(brew --prefix)/etc/bash_completion
Then refresh your profile using the appropriate command for bash configurations file.
source ~/.profile
source ~/.bashrc
source ~/.zshrc
Use Homebrew to uninstall all current and previous versions of the doctl formula on macOS:
brew uninstall -f doctl
To completely remove configuration, also remove the following directory:
rm -rf $HOME/Library/Application Support/doctl
doctl is able to interact with all of your DigitalOcean resources. Below are a few common usage examples. To learn more about the features available, see the full tutorial on the DigitalOcean community site.
- List all Droplets on your account:
doctl compute droplet list
- Create a Droplet:
doctl compute droplet create <name> --region <region-slug> --image <image-slug> --size <size-slug>
- Assign a Floating IP to a Droplet:
doctl compute floating-ip-action assign <ip-addr> <droplet-id>
- Create a new A record for an existing domain:
doctl compute domain records create --record-type A --record-name www --record-data <ip-addr> <domain-name>
doctl also simplifies actions without an API endpoint. For instance, it allows you to SSH to your Droplet by name:
doctl compute ssh <droplet-name>
By default, it assumes you are using the root user. If you want to SSH as a specific user, you can do that as well:
doctl compute ssh <user>@<droplet-name>