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Python Tutorial: Securing AWS Lambda with Secrets Manager

Updated on Dec 26,2023

Python Tutorial: Securing AWS Lambda with Secrets Manager

Table of Contents

  1. Introduction
  2. What is Amazon Secrets Manager?
  3. Storing Secrets in Amazon Secrets Manager
    • Using Predefined Options
    • Using a Custom Secret
    • Specifying Encryption Key
  4. Accessing Secrets from AWS Lambda
    • Creating a Lambda Function
    • Adding Code to Access Secrets
    • Modifying Execution Role
    • Testing the Function
  5. Accessing Secrets with Custom Managed KMS Key
    • Adding Additional IAM Permissions
    • Modifying Lambda Code
    • Testing Access to Custom Managed Secrets
  6. Summary
  7. Conclusion

Introduction

In this article, we will discuss how to access secrets stored in the Amazon Secrets Manager service from an AWS Lambda function. Secrets Manager is a powerful service that allows You to securely store and manage sensitive information such as API keys, passwords, and other secret STRING values. Instead of hard-coding these values into your source code, Secrets Manager allows you to store them separately and access them programmatically at runtime. This provides an additional layer of security and flexibility for your applications.

What is Amazon Secrets Manager?

Amazon Secrets Manager is a service provided by Amazon Web Services (AWS) that allows you to store and manage sensitive information securely. It provides a centralized location for storing and accessing secrets such as API keys, database credentials, and other sensitive data. Secrets Manager simplifies the process of managing and rotating your secrets, ensuring that your applications have access to up-to-date credentials without compromising security.

Storing Secrets in Amazon Secrets Manager

To start accessing secrets from Secrets Manager, you need to first Create a secret. Secrets can be created using either predefined options for specific services like RDS, DocumentDB, or Redshift, or by using a custom secret for generic secret values. When creating a secret, you can specify the key-value pairs for JSON objects or plain text values, and choose the encryption key to secure the secret. It's important to note that there is a cost associated with storing secrets in the Secrets Manager service.

Accessing Secrets from AWS Lambda

To access secrets from Secrets Manager in an AWS Lambda function, you first need to create the function and specify the runtime environment. You can author the function from scratch and choose the programming language that suits your needs. Once the function is created, you can add code to access the secrets using the Secrets Manager API. However, you also need to modify the execution role of the Lambda function to grant it the necessary permissions to access Secrets Manager.

Accessing Secrets with Custom Managed KMS Key

In some cases, you may want to use a custom managed KMS key to guard your secrets in Secrets Manager. This provides an additional layer of control and security over who can decrypt the secrets. However, using a custom Key Management Service (KMS) key requires additional IAM permissions for the Lambda function. By adding the KMS decrypt action to the IAM role associated with the Lambda function, you can grant the necessary permissions to access secrets with a custom managed KMS key.

Summary

In summary, Secrets Manager is a powerful service provided by AWS that allows you to securely store and manage sensitive information. You can store secrets for various services as well as generic secret values. AWS Lambda is a serverless computing service that allows you to run code without managing servers. By combining Secrets Manager with Lambda, you can securely access secrets programmatically in your serverless applications.

Conclusion

In this article, we have discussed how to access secrets stored in Amazon Secrets Manager from an AWS Lambda function. We have covered the steps to create secrets in Secrets Manager, access them from a Lambda function, and handle custom managed KMS keys. By following these steps, you can ensure that your applications have secure access to sensitive information without the need for hard-coding.

Highlights:

  • Amazon Secrets Manager is a powerful service for securely storing and managing sensitive information.
  • Storing secrets in Secrets Manager provides an additional layer of security and flexibility for your applications.
  • AWS Lambda allows you to run code without managing servers, making it an ideal platform for accessing secrets from Secrets Manager.
  • By granting the necessary permissions to your Lambda function, you can securely access secrets stored in Secrets Manager.
  • Using custom managed KMS keys adds an extra layer of control and security to your secrets, ensuring that only authorized entities can access them.

FAQ

Q: Is there a cost associated with using Amazon Secrets Manager? A: Yes, there is a cost associated with using Amazon Secrets Manager. It is important to be aware of this cost, especially if you are experimenting or on the free tier.

Q: Can I use Amazon Secrets Manager to store secrets for different services? A: Yes, Amazon Secrets Manager provides predefined options for storing secrets for specific services like RDS, DocumentDB, and Redshift. You can also create custom secrets for generic secret values.

Q: Can I use my own encryption key with Secrets Manager? A: Yes, Secrets Manager allows you to use your own custom managed KMS key for added control and security over your secrets.

Q: How can I access secrets from Secrets Manager in my AWS Lambda function? A: You can access secrets from Secrets Manager by creating a Lambda function, adding code to access the secrets using the Secrets Manager API, and modifying the execution role of the Lambda function to grant it the necessary permissions.

Q: What happens if I try to access a secret guarded by a custom managed KMS key? A: To access a secret guarded by a custom managed KMS key, you need to modify the IAM role associated with the Lambda function to grant it the KMS decrypt action permission.

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