The purpose of the GCP Deployment Request is to allow our client`s Data Science team access Boxalino datasets, for the goal of running jupyter/notebook processes in the designed anaconda environments.
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| 1 | project name | as will appear in your project`s list
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| 2 | the requestor is the one managing the applications running on the project; this email will receive messages (alert and notifications) for when the project is ready to be used; | |
| 3 | client name | (also known as the Boxalino account name) this is to ensure the access to the views, core & reports datasets |
| 4 | optional; the labels are used as project meta-information. see Labels | |
| 5 | optional; by default, the requestor will have full access and can further share with others. see Permissions |
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Property | Default | Required | Description | |||
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| 1 | instance-name | project name | yes | the instance name is the VM name as appears in the Compute Engine view | ||
| 2 | machine-type | e2-micro | yes | the value depends on what the application needs: more CPU or more RAM? for options, please check the Google Cloud documentation | ||
| 3 | email-to | yes | the email is used once to receive an alert for when the VM is ready. | |||
| 4 | home | \/home\/project-name | no | the path on the server where the content of the GCS bucket is uploaded; | ||
| 5 | image-family | ubuntu-2004-lts | no | |||
| 6 | boot-disk-size | 30 | no | |||
| 7 | zone | europe-west1-b | no | this property can be left empty;
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| Code Block |
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instance-name:application-name machine-type:e2-micro email-to:data-science-guru@boxalino-client.com home:\/home\/project-name image-family:ubuntu-2004-lts boot-disk-size:30 zone:europe-west1-b |
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| Code Block |
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chmod -R 777 <home value from instance.txt>/* papermill <home value from instance.txt>/process.ipynb <root-dir<home value from instance.txt>/process-output.ipynb |
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| 1 | project ID | the project ID is unique; the project ID is diplayed on the dashboard of your project https://console.cloud.google.com/home/dashboard  | ||||
| 2 | GCS bucket name | the bucket name where the Required Files are located (ex: gs://project-name<project-name>-<app-name>); the contents will be made available on the application as well. info
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| 3 | access code | as provided by Boxalino |
| Tip |
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Once the application has been launched, a script will initialize the environment and load all your content from the GCS bucket. |
You can further log/ SSH on the virtual machine and check out the output or inspect the contents.
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In the MONITORING view of your Application, you are able to track the resources available & consumed:
CPU utilization
Memory Utilization
Disk Space Utilization
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Application Delete
If you want to stop the application, you can freely delete it from your Compute Engine view, or use the form provided by Boxalino https://gcp-deploy-du3do2ydza-ew.a.run.app/instance
BigQuery access
As a data scientist, chances are that you have been provided with a Service Account (SA) to access the client`s private projects.
The application is run by the project's own Compute Engine Service Account (CE SA).
Because the project is in the scope of Boxalino, it will have direct read access to the client's datasets.
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