Question
Accenture
SG
Last activity: 28 Aug 2024 7:52 EDT
Integration with AWS Secrets Manager to store user login credentials for Pega
Hi, I would like to store Pega user login credentials in AWS Secrets Manager, which have been previously hardcoded in plaintext form in prpcServiceUtils.properties file.
Just to provide some context here, we are automating the application deployment process where once the application file is in the EC2 instance, the code should automatically read the username and password stored in secrets manager and take in the file. Previously, we attempted the same method using hardcoded plaintext credentials and it worked, however due to security reasons we should not expose the credentials in public, thus exploring this option of using AWS Secrets Manager to store our credentials.
Pegasystems Inc.
GB
To securely store Pega user login credentials in AWS Secrets Manager instead of hardcoding them in plaintext in the prpcServiceUtils.properties file, you can follow these steps
1. **Store Credentials in AWS Secrets Manager**: First, create a new secret in AWS Secrets Manager to store your Pega user login credentials. You can do this through the AWS Management Console, AWS CLI, or AWS SDKs.
2. **Retrieve Credentials in Your Code**: Modify your deployment automation code to retrieve the credentials from AWS Secrets Manager. You can use AWS SDKs to fetch the secret values. Here is a basic example using AWS SDK for Python (Boto3):
```python
import boto3
import json
# Create a Secrets Manager client
client = boto3.client('secretsmanager')
# Retrieve the secret value
response = client.get_secret_value(SecretId='your_secret_id')
# Parse the secret value
secret = json.loads(response['SecretString'])
username = secret['username']
password = secret['password']
```
3. **Use Retrieved Credentials**: Use the retrieved `username` and `password` in your deployment process instead of the hardcoded values.
By following these steps, you can ensure that your Pega user login credentials are securely stored and retrieved, enhancing the security of your deployment process
To securely store Pega user login credentials in AWS Secrets Manager instead of hardcoding them in plaintext in the prpcServiceUtils.properties file, you can follow these steps
1. **Store Credentials in AWS Secrets Manager**: First, create a new secret in AWS Secrets Manager to store your Pega user login credentials. You can do this through the AWS Management Console, AWS CLI, or AWS SDKs.
2. **Retrieve Credentials in Your Code**: Modify your deployment automation code to retrieve the credentials from AWS Secrets Manager. You can use AWS SDKs to fetch the secret values. Here is a basic example using AWS SDK for Python (Boto3):
```python
import boto3
import json
# Create a Secrets Manager client
client = boto3.client('secretsmanager')
# Retrieve the secret value
response = client.get_secret_value(SecretId='your_secret_id')
# Parse the secret value
secret = json.loads(response['SecretString'])
username = secret['username']
password = secret['password']
```
3. **Use Retrieved Credentials**: Use the retrieved `username` and `password` in your deployment process instead of the hardcoded values.
By following these steps, you can ensure that your Pega user login credentials are securely stored and retrieved, enhancing the security of your deployment process
⚠ This is a GenAI-powered tool. All generated answers require validation against the provided references.
AWS Authentication Profile without IAM Credentials
Encryption > Database connection passwords
Encryption of passwords used by prpcUtils (i.e. not in prconfig.xml and prbootstrap.properties)
CyberArk - API to retrieve passwords from Enterprise Password Vaults