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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BigQuery Data Editor : <client>_lab, <client>_views
BigQuery Data Viewer : <client>_core, <client>_stage, <client>_reports, <client>_intelligence
Required Information
When contacting Boxalino with a GCP project deployment request, please provide the following information:
| 1 | project name | as will appear in your project`s list |
| 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 (https://boxalino.atlassian.net/wiki/spaces/BPKB/pages/303792129/GCP+Project+Deployment#BigQuery-Datasets-Access ) |
| 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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| 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. |
Checking out the application state
1. SSH on the application VM
Go to your project Compute Engine page: https://console.cloud.google.com/compute/instances
You can further log/ SSH on the virtual machine and check out the output or inspect the contents.
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2. Monitoring tools from GCP
Go to your project Compute Engine page (https://console.cloud.google.com/compute/instances) and click on the running application instance. Switch to the Monitoring tab.
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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3. GCP Logs Explorer
Google Cloud Platform provides a series of tools for monitoring the project resources.
One of these tools is the Logging Client.
Go to your Logs Explorer https://console.cloud.google.com/logs/query? and review the application logs.
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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
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