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Learn how to fetch keys from Secret Manager using AWS Lambda

Updated on Dec 26,2023

Learn how to fetch keys from Secret Manager using AWS Lambda

Table of Contents:

  1. Introduction
  2. Creating the Lambda Function
  3. Using AWS SDK to Fetch Data from AWS Secrets Manager
  4. Defining the Secrets Manager and Secret Name
  5. Fetching Data from the Secrets Manager
  6. Testing and Deploying the Lambda Function
  7. Handling Authorization Role and Permissions
  8. Modifying the Response Data
  9. Creating an API to Trigger the Lambda Function
  10. Conclusion

Article:

Introduction

In this tutorial, we will learn how to Create a Lambda function and fetch data from AWS Secrets Manager using the AWS SDK. We will also cover testing, authorization roles, modifying response data, and creating an API to trigger the Lambda function.

1. Creating the Lambda Function

To start, we need to create a Lambda function. After creating the function, give it a name, such as "tutorial script manager", and choose Node.js as the runtime. For this tutorial, we will select the "not.gs14x" function. Wait for the function to be created.

2. Using AWS SDK to Fetch Data from AWS Secrets Manager

To fetch data from AWS Secrets Manager, we will be using the AWS SDK. First, define the AWS Secrets Manager as "SM" and create a new AWS Secrets Manager. Then, define "SM" as the handler function in the exports. Additionally, define the name of the secrets manager created in the previous part as "Secrets" and the value as "tutorial secret manager".

3. Fetching Data from the Secrets Manager

Next, we need to define the data from the Secrets Manager. Define it as "secret data" and set it as an empty object. Use the "getSecretValue" method from the Secrets Manager to fetch the data. Console log the response to check if there are any issues or errors.

4. Testing and Deploying the Lambda Function

Before testing, deploy the Lambda function. Create a test event with a name, such as "initial test". Test the function and check the response. If there is an "access denied" exception, it means that the permissions for Secrets Manager actions are not set.

5. Handling Authorization Role and Permissions

To grant permissions for Secrets Manager actions, we have two options. The first option is to attach the "SecretsManagerReadWrite" policy from AWS. This policy provides full access to all secrets. The Second option is to create an inline policy, which allows for more specific access control. We recommend using the inline policy and specifying the exact Secrets Manager resource.

6. Modifying the Response Data

After granting the necessary permissions, test the Lambda function again. If there are no errors, You will receive an empty object as a response. However, the response data might be in a cryptic format. To convert it into a key-value format, use the "split" and "replace" functions to transform the response data into a readable JSON format.

7. Creating an API to Trigger the Lambda Function

The final step is to create a REST API to trigger the Lambda function. This will allow external applications or services to initiate the Lambda function execution. Follow the necessary steps and configure the API accordingly.

Conclusion

In this tutorial, we learned how to create a Lambda function, fetch data from AWS Secrets Manager, handle authorization roles and permissions, modify response data, and create an API to trigger the Lambda function. By following these steps, you can securely retrieve data from the Secrets Manager using AWS Lambda. Start implementing these techniques in your own projects and benefit from the simplicity and scalability offered by AWS.

Highlights:

  • Learn how to create a Lambda function and fetch data from AWS Secrets Manager.
  • Use the AWS SDK to access Secrets Manager and handle response data.
  • Understand how to test, deploy, and authorize your Lambda function.
  • Modify and convert the response data into a readable JSON format.
  • Create a REST API to trigger the Lambda function and integrate it with external applications or services.

FAQ:

Q: Can I use a different runtime instead of Node.js for my Lambda function? A: Yes, you can choose a different runtime that is supported by AWS Lambda.

Q: Do I need to have any prior knowledge of AWS Secrets Manager? A: It is recommended to have a basic understanding of AWS Secrets Manager and its functionalities.

Q: How can I ensure the security of the data fetched from AWS Secrets Manager? A: By properly configuring authorization roles, permissions, and encryption, you can ensure the security of the data retrieved from AWS Secrets Manager.

Q: Can I use the fetched data for other purposes within my Lambda function? A: Yes, once you have the data from AWS Secrets Manager, you can use it as needed in your Lambda function logic.

Q: Is it possible to automate the fetching of data from AWS Secrets Manager at regular intervals? A: Yes, you can schedule your Lambda function to run at specific intervals using AWS CloudWatch Events or other scheduling mechanisms provided by AWS.

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