droplet_functions | R Documentation |
There's a lot of functions for working with droplets. Here's a breakdown of what they all do.
DigitalOcean docs overview: https://developers.digitalocean.com/documentation/
DigitalOcean API docs: https://developers.digitalocean.com/documentation/v2/
The main functions for creating/deleting droplets:
droplet()
: get a droplet object from a droplet ID
droplet_create()
: create a droplet
droplets_create()
: create two or more droplets
droplet_delete()
: delete a droplet
droplets()
: get your droplets
as.droplet()
: coerce various things to droplet objects
Modify a droplet:
droplet_resize()
: resize a droplet to a different size
droplet_rebuild()
: reinstall a droplet with a different image
droplet_rename()
: rename a droplet
droplet_change_kernel()
: change droplet to a new kernel
Take and restore snapshots:
droplet_snapshot()
: make a snapshot of a droplet
droplet_snapshots_list()
: list snapshots on a droplet
droplet_backups_list()
: list droplet backups
droplet_restore()
: Restore a droplet with a previous image or snapshot
ssh interactions with droplets:
droplet_ssh()
: Remotely execute code on your droplet via ssh
droplet_upload()
: Upload files to your droplet via ssh
droplet_download()
: Download files from your droplet via ssh
Perform various actions on droplets:
droplet_actions()
: retrieve a droplet action or list all actions
associated with a droplet
droplet_disable_backups()
: Disables backups for a droplet
droplet_do_actions()
: Perform actions on one or more droplets associated with a tag
droplet_enable_backups()
: Enables backups for a droplet
droplet_enable_ipv6()
: Enable IPv6 networking on an existing droplet (within
a region that has IPv6 available)
droplet_enable_private_networking()
: Enable private networking on an existing
droplet (within a region that has private networking available)
droplet_execute()
: Execute R code on a droplet
droplet_kernels_list()
: List all available kernels for a droplet
droplet_neighbors()
: List a droplet's neighbors on the same physical server
droplet_power_cycle()
: power cycle a droplet. will turn off the droplet and
then turn it back on
droplet_power_off()
: Shutdown a running droplet. The droplet will remain in
your account and you will continue to be charged for it
droplet_power_on()
: Turn on a droplet that's turned off
droplet_reboot()
: reboot a droplet. This is the preferred method to use if
a server is not responding
droplet_reset_password()
: reset the root password for a droplet
droplet_reuse()
: Reuse a droplet or image by name, creating a new droplet
droplet_shutdown()
: Shutdown a running droplet. The droplet will remain in
your account and you will continue to be charged for it.
droplet_upgrade()
: Migrate a droplet - NOT SURE IF THIS STILL WORKS OR NOT
droplet_upgrades_list()
: List all droplets that are scheduled to be upgraded
droplet_wait()
: Wait for a droplet to be ready. mostly used internally
droplets_cost()
: Calculate cost across droplets
Freeze/thaw droplets:
droplet_freeze()
: power off a droplet, snapshots to create an image, and deletes the
droplet
droplet_thaw()
: takes an image and turns it into a running droplet
We named a DO droplet with the Docker application installed a "docklet" for convienence
The main two functions for creating docklets:
docklet_create()
: create a docklet (a droplet using the docker image)
docklets_create()
: create many docklets
Running docker commands on your docklet:
docklet_images()
: list docker images on your docklet
docklet_ps()
: list running docker containers
docklet_pull()
: pull a docker image to your docklet
docklet_rm()
: remove a docker image from your docklet
docklet_run()
: run a docker command on your docklet
docklet_stop()
: stop a running docker container
docklet_docker()
: low level fxn for running docker commands on your,
not realy intended for public use
Install RStudio things:
docklet_rstudio()
: install RStudio on your docklet using
Rocker images (https://hub.docker.com/u/rocker)
docklet_rstudio_addusers()
: add users to an RStudio docker image
docklet_shinyserver()
: install Shiny server on your docklet using
Rocker images (https://hub.docker.com/u/rocker)
docklet_shinyapp()
: install a Shiny app on your Shiny server docker
container
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