Uploads ssh-keys to an instance
gce_ssh_setup(instance, key.pub = NULL, key.private = NULL,
ssh_overwrite = FALSE, username = Sys.info()[["user"]])
Name of the instance of run ssh command upon
The filepath location of the public key
The filepath location of the private key
Will check if SSH settings already set and overwrite them if TRUE
The username you used to generate the key-pair
TRUE if successful
This loads a public ssh-key to an instance's metadata. It does not use the project SSH-Keys, that may be set separately.
You will need to generate a new SSH key-pair if you have not connected to an instance before.
Instructions for this can be found here: https://cloud.google.com/compute/docs/instances/connecting-to-instance. Once you have generated run this function once to initiate setup.
If you have historically connected via gcloud or some other means, ssh keys may have been generated automatically.
These will be looked for and used if found, at file.path(Sys.getenv("HOME"), ".ssh", "google_compute_engine.pub")
https://cloud.google.com/compute/docs/instances/adding-removing-ssh-keys
Other ssh functions: gce_ssh_addkeys
,
gce_ssh_browser
, gce_ssh
# NOT RUN {
# }
# NOT RUN {
library(googleComputeEngineR)
vm <- gce_vm("my-instance")
## if you have already logged in via gcloud, the default keys will be used
## no need to run gce_ssh_addkeys
## run command on instance
gce_ssh(vm, "echo foo")
## if running on Windows, use the RStudio default SSH client
## e.g. add C:\Program Files\RStudio\bin\msys-ssh-1000-18 to your PATH
## then run:
vm2 <- gce_vm("my-instance2")
## add SSH info to the VM object
## custom info
vm <- gce_ssh_setup(vm,
username = "mark",
key.pub = "C://.ssh/id_rsa.pub",
key.private = "C://.ssh/id_rsa")
## run command on instance
gce_ssh(vm, "echo foo")
#> foo
## example to check logs of rstudio docker container
gce_ssh(vm, "sudo journalctl -u rstudio")
# }
Run the code above in your browser using DataLab