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How to store secrets in google cloud functions?


Asked by Paloma McCormick on Dec 04, 2021 Mini Program Cloud Development Study Guide



We'll do this by storing our secret with the Google Secret Manager, and accessing our secrets at the application layer. Doing so will limit access to the secret to just members of your team who have access to the secret (and, of course, the function when it's running on Google Cloud).
Similarly,
Secret Manager is a new service on Google Cloud that allows us to store and version sensitive data like private API keys and passwords, then access it from any cloud service. It provides encryption, audit logging, versioning, and IAM roles for secure fine-grained control over sensitive information.
Furthermore, This post will show you how you can use the Google Secret Manager to safely and securely use secrets in your function. Hard-coding or using environment variables to store plain-text strings that should be "secret", like API keys, secret tokens for cookies, etc. generally isn't recommended.
Keeping this in consideration,
If you are interested in using Python in Cloud Functions, you can follow the HTTP Google Cloud Functions in Python Codelab. Before you can begin using the Cloud Functions API, you must enable the API. Using Cloud Shell, you can enable the API with the following command: Navigate to the main.py file inside the secret-manager-api-demo folder.
In this manner,
The --data-file=- flag allows us to pipe the secret to the gcloud command from the output of the previous command, which just echo s the secret (with no newline). Our secret is now securely stored. If we want to verify this, we can use the following command to access our secret on the command line: