0Pricing
Serverless AWS Lambda Development · Lesson

Secrets Management with AWS Secrets Manager

Securely store, retrieve, and rotate sensitive credentials and API keys in your serverless applications using AWS Secrets Manager.

Secrets Management with AWS Secrets Manager is a free Serverless AWS Lambda Development lesson on CoddyKit — lesson 2 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the Serverless AWS Lambda Development learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.

Secrets Manager: The Basics

Welcome! In serverless applications, managing sensitive data like database passwords or API keys is crucial. Hardcoding these values is a major security risk.

AWS Secrets Manager helps you securely store, manage, and retrieve these secrets throughout their lifecycle.

Why Not Hardcode?

Hardcoding secrets directly in your Lambda function code or configuration files is a bad practice. Here's why:

  • Security Risk: If your code repository is compromised, your secrets are exposed.
  • Maintenance: Changing a secret requires code redeployment.
  • Compliance: Many security standards forbid hardcoded credentials.

How Secrets Manager Works

Secrets Manager encrypts your secrets at rest and in transit. It provides a dedicated API to retrieve them programmatically when needed.

This means your Lambda function requests the secret at runtime, never storing it directly in its code or environment variables.

Creating a Secret

You can create a secret in the AWS Management Console, through the AWS CLI, or using an AWS SDK.

When creating a secret, you specify its type (e.g., database credentials, API key), the actual secret value, and optional rotation settings.

Retrieving Secrets in Lambda

In your Lambda function, you'll use the AWS SDK (e.g., boto3 for Python) to call the Secrets Manager API. Specifically, the GetSecretValue operation.

This operation securely fetches the secret and returns it to your function for use.

Python Retrieval Example

This Python snippet shows how a Lambda function would retrieve a secret named MyDatabaseSecret. Remember, your Lambda's IAM role needs permission to access the secret!

import boto3
import json
from botocore.exceptions import ClientError

def get_secret(secret_name):
    client = boto3.client('secretsmanager')
    try:
        get_secret_value_response = client.get_secret_value(
            SecretId=secret_name
        )
    except ClientError as e:
        # Handle errors like ResourceNotFoundException
        print(f"Error retrieving secret: {e}")
        raise e
    else:
        if 'SecretString' in get_secret_value_response:
            return get_secret_value_response['SecretString']
        # For binary secrets, use 'SecretBinary'
        return None

# This is a runnable example, not a full Lambda handler.
# In a real Lambda, 'event' and 'context' would be parameters.
if __name__ == "__main__":
    print("--- Simulating Secret Retrieval ---")
    print("Attempting to retrieve 'MyDatabaseSecret'...")
    try:
        # In a real scenario, replace with your secret's actual name
        # secret_json = get_secret('MyDatabaseSecret')
        # if secret_json:
        #     secret_data = json.loads(secret_json)
        #     print(f"Username: {secret_data.get('username')}")
        #     print(f"Password (first 5 chars): {secret_data.get('password')[:5]}...")
        # else:
        #     print("Secret could not be retrieved or was binary.")
        print("Retrieval logic demonstrated. Remember IAM permissions!")
    except Exception as e:
        print(f"An error occurred during simulation: {e}")

IAM Permissions for Secrets

For your Lambda function to retrieve a secret, its execution role must have the necessary IAM permissions.

Specifically, it needs secretsmanager:GetSecretValue on the target secret(s). It's best practice to grant access only to the secrets your function absolutely needs.

Automated Secret Rotation

One of Secrets Manager's powerful features is automated secret rotation. This enhances security by regularly changing credentials without manual intervention.

You can configure rotation for various services like RDS databases. Secrets Manager uses a Lambda function to perform the actual rotation.

Best Practices for Secrets

When using AWS Secrets Manager:

  • Least Privilege: Grant only necessary GetSecretValue permissions.
  • Rotate Regularly: Enable automated rotation whenever possible.
  • Monitor Access: Use CloudTrail to audit who accessed your secrets.
  • Encrypt Further: Use KMS keys for custom encryption if needed.

Check Your Knowledge

Which of the following are key benefits of using AWS Secrets Manager for serverless applications?

Recap: Secure Your Secrets!

You've learned how AWS Secrets Manager is a vital tool for securing your serverless applications.

  • It centralizes and encrypts sensitive data.
  • It enables secure, on-demand retrieval by Lambda functions.
  • It supports automated rotation for enhanced security.
  • Proper IAM permissions are crucial for access control.

By using Secrets Manager, you significantly reduce security risks associated with managing credentials.

Frequently asked questions

Is the “Secrets Management with AWS Secrets Manager” lesson free?

Yes — the full text of “Secrets Management with AWS Secrets Manager” is free to read here on the web, and the Serverless AWS Lambda Development course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the Serverless AWS Lambda Development course, upgrade to CoddyKit PRO.

What will I learn in “Secrets Management with AWS Secrets Manager”?

Securely store, retrieve, and rotate sensitive credentials and API keys in your serverless applications using AWS Secrets Manager. You practise Serverless AWS Lambda Development with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.

Do I need any experience to start Serverless AWS Lambda Development?

No prior experience is required. Serverless AWS Lambda Development on CoddyKit is structured for beginners through advanced learners; this is — lesson 2 of 4, so you can start here or from the beginning and move at your own pace.

How long does the “Secrets Management with AWS Secrets Manager” lesson take?

Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.

Can I write and run code in this Serverless AWS Lambda Development lesson?

Yes. Every Serverless AWS Lambda Development lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.

All lessons in this course

  1. Advanced IAM Policies and Permissions
  2. Secrets Management with AWS Secrets Manager
  3. Distributed Tracing with AWS X-Ray
  4. Structured Logging and Correlation IDs
← Back to Serverless AWS Lambda Development