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
0.2.0
Changes
- 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
0.1.0
Major changes
- Start, stop and restart VMs
- Create instances using cloudinit
- Browser based SSH
- SSH from R
- Metadata
- Docker
- Google container registry
- VM templates
- Future asynch cluster computing