NEWS.md
In googleComputeEngineR: R Interface with Google Compute Engine

0.3.0

Fixed broken passing of zone and project arguments in gce_vm, gce_vm_template, gce_get_external_ip, and gce_set_metadata.
remove gce_auth() to favour auth with JSON key (#79)
Fix project-id error if numbers in project (#72)
Block users using "rstudio" as a login name
Remove defunct example from gce_schedule_docker
Support GPU images for Tensorflow, keras etc. (#101) via gce_vm_gpu() and gce_vm(template = "rstudio-gpu") (#101)
Support common instance metadata by supply gce_set_metadata(instance = "project-wide")
Support minCpuPlatform in instance creation and via gce_set_mincpuplatform() (#112)
Add ability to specify a startup-script in gce_vm_container()
Switch RStudio templates to use startup-scripts and metadata
Switch to applying a nginx proxy service to deal with port routing for templates
Add gce_startup_logs() to track whts going on when launching an instance
Vectorise gce_vm_delete, gce_vm_stop, gce_vm_start and gce_vm_reset functions so you can pass in a list of instances
Add gce_vm_cluster() to make it easier to create clusters for future

Update website
Bug fixes
Add R-Datalab Dockerfile example
Let Rstudio users be added with staff rights so they can install packages etc.
Add ability to specify disk size when creating a VM (#38) - thanks @jburos
Add firewall functions (#34)
Add global operation class
Add open_webports argument to gce_vm that will open web ports 80 and 443 if necessary
Add GPU functions
Migrate to use system2 instead of system for cross-platform SSH (#35)
gce_shiny_addapp is now much more useful
Add gce_schedule_docker and gce_vm_scheduler for easy Dockerfile scheduling
Add gce_vm_logs to quickly browse to an instance logs online
Fix custom machine types creation (#63) - thanks @Blaza
Set environment vars on VMs from metadata via gce_metadata_env