Connecting google cloud ml-engine to google cloud sql
Question
I am trying access data on a google cloud SQL database as inputs in a google ml-engine training script.
Question: Is there a good way to do this securely?
Currently I can access by allowing all IP's access on SQL server , and relying only on database passwords for security.
1 answers
solution1
0 2018-01-03 04:04:14
One option might be to use the cloud SQL proxy:
https://cloud.google.com/python/getting-started/using-cloud-sql
(I haven't tried it)
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.
Related Question
google ml-engine cloud storage as a file
Prediction from a Deployed SCIKITLEARN model at Google Cloud ML-Engine
Is the multiprocessing python package working on Google Cloud ml-engine?
Google Cloud ML-engine scikit-learn prediction probability 'predict_proba()'
slow training with GPU google cloud ML engine
programmatically read training output from cloud ml-engine
Using custom dependencies in Google Cloud ML Engine
Connecting to Google Cloud SQL from App Engine: access denied
training google cloud ml engine actually in the cloud- clarification on the approach
DeadlineExceededError connecting to Google Cloud SQL
Related Tags