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Google cloud r studio
Google cloud r studio













google cloud r studio google cloud r studio

Third, I configured Crontab to run the script every Thursday at 1:50 pm, preceded by the bash script at 6:00 pm (this gave me enough time in case the report took longer). #!/bin/bash cd /home cd stefang/ gcsfuse -implicit-dirs gcs-bucket/ sudo mv /output/ gcs-bucket/ #unmount GCS bucket fusermount -u gcs-bucket Second, I created a bash script that would change current directories, mount a GCS bucket, and upload my script’s output files (several CSVs and an HTML map file) to the bucket. The full process of setting this up also involves Cloud Functions and Pub/Sub.

google cloud r studio

Cloud Scheduler allows us to limit our usage of our VM, keeping costs low and reducing any wasted energy. There were a few steps required for this task, which I will briefly sum up:įirst, I set up Cloud Scheduler to start/stop my instance at specific times each week. I wanted to fully automate this process so that, unless I had new code to push, the script would run without me having to SSH into the instance. From this new directory, we can access all of our files (including any outputs from the script) via the shell.















Google cloud r studio