CipherZ
CipherZ
Feb 4 · 4 min read
Source: Google Cloud

This article is meant to help a developer manage their secrets when deploying an application to Google Application Engine with the following expectations:

  • Github Repository(Typescript express app in our case)
  • Application can be built and run locally with Docker
  • Google Cloud Development Account

Setup

git clone git@github.com:cipherzzz/ts-cloudbuild-secrets-example.git

Secrets management using Google KMS

Google Cloud has the concept of a Key Management System or KMS that is available as a command line tool through gcloud and integrated into the cloudbuild tool. We will use this to encrypt our secrets such as passwords and sensitive fields and provide the decrypted values as environmental variables within the docker containers at build time.

Keyring/Keys

We should really only need one keyring per instance(integration, testing, and production) would all get their own keyring.

Check that the kms api is enabled — https://console.developers.google.com/apis/library/cloudkms.googleapis.com

# If we do not have a keyring
gcloud kms keyrings create vmi-integration-secrets --location global
# If we already had a keyring or just created one, take a look at what keys are on it
gcloud kms keys list --location global --keyring vmi-integration-secrets
# To add a key - one per application
gcloud kms keys create vertigo-js-node-api --location global --keyring vmi-integration-secrets --purpose encryption
# Verify that your keyring has the keys you expect
gcloud kms keys list --location global --keyring vmi-integration-secrets

The keyring and keys will be used to encrypt and decrypt values during the cloudbuild process. You may add and remove keys as your applications change within the cloud. If you have any additional questions this article is great — https://cloud.google.com/kms/docs/quickstart

Encrypting Secrets

# Create a local file with the secret
echo "MyRedisPassword1234" > redis_pw.txt
# To encrypt a secret using KMS
gcloud kms encrypt \
--plaintext-file=redis_pw.txt \
--ciphertext-file=redis_pw.enc.txt \
--location=global \
--keyring=vmi-integration-secrets \
--key=vertigo-js-node-api
# Encode the binary encoded secret as base64 string
base64 redis_pw.enc.txt -w 0 > redis_pw.enc.64.txt

You will use the string obtained in the last step to put into your cloudbuild file as described in the next section.


Decrypting the Secrets

What we ultimately want is a way to decrypt the base64 value of our encoded secret and inject it as an env variable to be read by our application. There are multiple ways to do this, but really only one way with cloudbuild.

Cloudbuild

In order for cloudbuild to decrypt our value, it must be base64 encoded and denoted as a secret as follows(I am including the WHOLE cloudbuild for clarity):

steps:  # Building image
# Note: You need a shell to resolve environment variables with $$
- name: 'gcr.io/cloud-builders/docker'
entrypoint: 'bash'
args: [
'-c',
'docker build -t gcr.io/$PROJECT_ID/appengine/ts-cloudbuild-secrets-example:latest -f Dockerfile --build-arg REDIS_PASS=$$REDIS_PW .'
]
secretEnv: ['REDIS_PW']
# Push Images
- name: 'gcr.io/cloud-builders/docker'
args: ['push', 'gcr.io/$PROJECT_ID/appengine/ts-cloudbuild-secrets-example:latest']
# Deploy to GAE
- name: 'gcr.io/cloud-builders/gcloud'
args:
- 'app'
- 'deploy'
- 'app.yaml'
- '--image-url'
- 'gcr.io/$PROJECT_ID/appengine/ts-cloudbuild-secrets-example:latest'
secrets:
- kmsKeyName: projects/vmi-integration/locations/global/keyRings/vmi-integration-secrets/cryptoKeys/vertigo-js-node-api
secretEnv:
REDIS_PW: CiQAkmpYKP7L1ELHIrdvp/J43k1w6EN/l4wgVZnBMMhbEr/dFxYSPQBMN3wJgwxNRTNmNpaif4rSOSHKy7gHTamaxsxo3la2qCLJfVSHz8jUA4jERssiMZAeKhHvfp5LBTDvjxk=

Notice the secrets: portion at the bottom. This gives our cloudbuild the secret to be decrypted, the key to use for decryption, and the env variable that we can use to refer to it with.

Step back in the cloudbuild to the docker build directive. Notice how we declare the secretEnv attribute along with the expected key of REDIS_PW. This tells cloudbuild that we want to pass the decrypted value into this build step rather than the encrypted base64 value. Also note that we have to manually run the command in the bash shell in order to use the $$REDIS_PW syntax.

Dockerfile

We are passing in --build-arg REDIS_PASS=$$REDIS_PW from our cloudbuild into our docker build directive. We need to tell our Dockerfile about this arg in order for it to accept its value.

FROM node:8 as native-build
COPY . .
RUN npm install
RUN npm run build
FROM node:carbon-alpineARG REDIS_PASS
ENV REDIS_PW=${REDIS_PASS}
WORKDIR /home/node/app
COPY --from=native-build /dist dist/
COPY --from=native-build /package.json .
COPY --from=native-build /node_modules node_modules/
EXPOSE 8080USER node
CMD ["npm", "start"]

Note the ARG REDIS_PASS in the Dockerfile - this is what enables us to handle the value given from cloudbuild. Also note the ENV REDIS_PW=${REDIS_PASS} - this sets the REDIS_PW env value that will be baked into the docker container. Whenever we run the image built, the REDIS_PW env variable will be present and populated.

Typescript

We access our decrypted variable within the application by referring to the process.env.REDIS_PW variable. Note that we are just checking the value in this case but you could just as easily connect to a server with the secret. See the src/logic.ts

export function checkSecret(): Payload {
let message = process.env.REDIS_PW==='MyRedisPassword1234'?"Secret Correct":"Secret Wrong";
return { message }
}

Deployment

Follow the cloudbuild-local installation instructions in order to get your gcloud sdk, docker, and local build env working.

Run the following from the root of the project and the cloudbuild-local tool will execute the cloudbuild and deploy the application.

cloud-build-local --config=cloudbuild.yaml --dryrun=false .

Access the https://<service-url>/secret to see if the decryption worked or not. You should see something like - {"message":"Secret Correct"}

Google Cloud Platform - Community

A collection of technical articles published or curated by Google Cloud Platform Developer Advocates. The views expressed are those of the authors and don't necessarily reflect those of Google.

CipherZ

Written by

CipherZ

I am a blockchain enthusiast…

Google Cloud Platform - Community

A collection of technical articles published or curated by Google Cloud Platform Developer Advocates. The views expressed are those of the authors and don't necessarily reflect those of Google.

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