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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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.