Can anyone explain what the “reserved_ip_ranges” parameter is in the GCP Vertex AI Pipeline job? From this doc: https://cloud.google.com/python/docs/reference/aiplatform/latest/google.cloud.aiplatform.PipelineJob#google_cloud_aiplatform_PipelineJob_submit
I have a shared vpc, peering with servicenetworking-googleapis-com (a project owned by gcp where my pipelines run), and several allocated IP ranges for this peering. But how to use specific IP address ranges in a Vertex AI Pipeline job?
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Reserved IP Range name is used for VPC Peering.
The subnetwork allocation will use the range name if it’s assigned.
Example: managed-notebooks-range-c
PEERING_RANGE_NAME_3=managed-notebooks-range-c
gcloud compute addresses create $PEERING_RANGE_NAME_3
--global
--prefix-length=24
--description="Google Cloud Managed Notebooks Range 24 c"
--network=$NETWORK
--addresses=192.168.0.0
--purpose=VPC_PEERING
Example: https://www.googlecloudcommunity.com/gc/Databases/Unable-to-create-PostGRE-SQL-db-with-Private-IP/m-p/655122/highlight/true
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