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Secure secrets management practices for CI/CD pipelines using Vault, AWS Secrets Manager, and other tools.
Implement secure secrets management in CI/CD pipelines without hardcoding sensitive information.
# Start Vault dev server
vault server -dev
# Set environment
export VAULT_ADDR='http://127.0.0.1:8200'
export VAULT_TOKEN='root'
# Enable secrets engine
vault secrets enable -path=secret kv-v2
# Store secret
vault kv put secret/database/config username=admin password=secret
name: Deploy with Vault Secrets
on: [push]
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Import Secrets from Vault
uses: hashicorp/vault-action@v2
with:
url: https://vault.example.com:8200
token: ${{ secrets.VAULT_TOKEN }}
secrets: |
secret/data/database username | DB_USERNAME ;
secret/data/database password | DB_PASSWORD ;
secret/data/api key | API_KEY
- name: Use secrets
run: |
echo "Connecting to database as $DB_USERNAME"
# Use $DB_PASSWORD, $API_KEY
deploy:
image: vault:latest
before_script:
- export VAULT_ADDR=https://vault.example.com:8200
- export VAULT_TOKEN=$VAULT_TOKEN
- apk add curl jq
script:
- |
DB_PASSWORD=$(vault kv get -field=password secret/database/config)
API_KEY=$(vault kv get -field=key secret/api/credentials)
echo "Deploying with secrets..."
# Use $DB_PASSWORD, $API_KEY
Reference: See references/vault-setup.md
aws secretsmanager create-secret \
--name production/database/password \
--secret-string "super-secret-password"
- name: Configure AWS credentials
uses: aws-actions/configure-aws-credentials@v4
with:
aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
aws-region: us-west-2
- name: Get secret from AWS
run: |
SECRET=$(aws secretsmanager get-secret-value \
--secret-id production/database/password \
--query SecretString \
--output text)
echo "::add-mask::$SECRET"
echo "DB_PASSWORD=$SECRET" >> $GITHUB_ENV
- name: Use secret
run: |
# Use $DB_PASSWORD
./deploy.sh
data "aws_secretsmanager_secret_version" "db_password" {
secret_id = "production/database/password"
}
resource "aws_db_instance" "main" {
allocated_storage = 100
engine = "postgres"
instance_class = "db.t3.large"
username = "admin"
password = jsondecode(data.aws_secretsmanager_secret_version.db_password.secret_string)["password"]
}
- name: Use GitHub secret
run: |
echo "API Key: ${{ secrets.API_KEY }}"
echo "Database URL: ${{ secrets.DATABASE_URL }}"
deploy:
runs-on: ubuntu-latest
environment: production
steps:
- name: Deploy
run: |
echo "Deploying with ${{ secrets.PROD_API_KEY }}"
Reference: See references/github-secrets.md
deploy:
script:
- echo "Deploying with $API_KEY"
- echo "Database: $DATABASE_URL"
import boto3
import json
def lambda_handler(event, context):
client = boto3.client('secretsmanager')
# Get current secret
response = client.get_secret_value(SecretId='my-secret')
current_secret = json.loads(response['SecretString'])
# Generate new password
new_password = generate_strong_password()
# Update database password
update_database_password(new_password)
# Update secret
client.put_secret_value(
SecretId='my-secret',
SecretString=json.dumps({
'username': current_secret['username'],
'password': new_password
})
)
return {'statusCode': 200}
apiVersion: external-secrets.io/v1beta1
kind: SecretStore
metadata:
name: vault-backend
namespace: production
spec:
provider:
vault:
server: "https://vault.example.com:8200"
path: "secret"
version: "v2"
auth:
kubernetes:
mountPath: "kubernetes"
role: "production"
---
apiVersion: external-secrets.io/v1beta1
kind: ExternalSecret
metadata:
name: database-credentials
namespace: production
spec:
refreshInterval: 1h
secretStoreRef:
name: vault-backend
kind: SecretStore
target:
name: database-credentials
creationPolicy: Owner
data:
- secretKey: username
remoteRef:
key: database/config
property: username
- secretKey: password
remoteRef:
key: database/config
property: password
#!/bin/bash
# .git/hooks/pre-commit
# Check for secrets with TruffleHog
docker run --rm -v "$(pwd):/repo" \
trufflesecurity/trufflehog:latest \
filesystem --directory=/repo
if [ $? -ne 0 ]; then
echo "❌ Secret detected! Commit blocked."
exit 1
fi
secret-scan:
stage: security
image: trufflesecurity/trufflehog:latest
script:
- trufflehog filesystem .
allow_failure: false
references/vault-setup.md - HashiCorp Vault configurationreferences/github-secrets.md - GitHub Secrets best practicesgithub-actions-templates - For GitHub Actions integrationgitlab-ci-patterns - For GitLab CI integrationdeployment-pipeline-design - For pipeline architecturesecrets-management is an expert AI persona designed to improve your coding workflow. Implement secure secrets management for CI/CD pipelines using Vault, AWS Secrets Manager, or native platform solutions. Use when handling sensitive credentials, rotating secrets, or securing CI/CD environments. It provides senior-level context directly within your IDE.
To install the secrets-management skill, download the package, extract the files to your project's .cursor/skills directory, and type @secrets-management in your editor chat to activate the expert instructions.
Yes, the secrets-management AI persona is completely free to download and integrate into compatible Agentic IDEs like Cursor, Windsurf, Github Copilot, and Anthropic MCP servers.
Implement secure secrets management for CI/CD pipelines using Vault, AWS Secrets Manager, or native platform solutions. Use when handling sensitive credentials, rotating secrets, or securing CI/CD environments.
Download Skill Package.cursor/skills@secrets-management in editor chat.Copy the instructions from the panel on the left and paste them into your custom instructions setting.
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