In AWS Lambda, where can I securely store API Credentials?
System Design practice on Codemia
Work through 120+ system design problems with detailed solutions, from rate limiters to multi-region storage.
In AWS Lambda, securing API credentials is a crucial practice to prevent unauthorized access and ensure the integrity and confidentiality of your applications. AWS offers several ways to securely store and manage API credentials when deploying Lambda functions. Below, we'll explore the best practices and tools for securing API credentials in AWS Lambda, supported by technical explanations and examples.
Using IAM Roles for Lambda
The most secure way to handle API credentials with AWS Lambda is through AWS Identity and Access Management (IAM) roles. By assigning an IAM role to your Lambda function, you can grant it permissions to access other AWS services without embedding credentials directly in your code.
How It Works
- Create an IAM Role: Define an IAM role with the necessary permissions for accessing AWS services your Lambda function needs.
- Assign the Role to the Lambda Function: When you create or update a Lambda function, specify the IAM role. AWS automatically assigns temporary security credentials to the function to perform specific actions.
- Ensure Least Privilege: Follow the principle of least privilege by granting only the permissions that are necessary for your Lambda function to perform its task.
Example
- Effect: Allow
- PolicyName: LambdaS3Access
- Effect: Allow
- s3:*
- Store and Encrypt Secrets: Secrets Manager encrypts data at rest using encryption keys that you manage.
- Retrieve Secrets Programmatically: Using the AWS SDK, you can retrieve secrets at runtime within a Lambda execution. Secrets Manager automatically decrypts the secret data and returns it securely.
- Rotate Secrets Automatically: You can configure Secrets Manager to rotate secrets automatically, enhancing security by reducing the exposure of credentials.
- Hierarchical Storage and Versioning: Supports storing configuration data and credentials in a hierarchical form and versioning them.
- Secure String Parameters: Encrypt sensitive data with AWS KMS before storing it.
- Access Control: Employ IAM policies to control access.
Related reading
- IN statement in dynamodb
- In Terraform, how do you specify an API Gateway endpoint with a variable in the request path?
- Inconsistent cache values using Zend Cache with AWS ElastiCache across multiple servers
- Incorporate existing AWS resources into a CloudFormation stack
- In C, how to check if a TCP port is available?
- In Tensorflow's Dataset API how do you map one element into multiple elements?
- In Kubernetes, how to setup multiple hosts in one ingress with let''s encrypt certificates
- InsecurePlatformWarning A true SSLContext object is not available. This prevents urllib3 from configuring SSL appropriately

System Design Fundamentals
Build a strong foundation in designing scalable, reliable distributed systems.
View the courseTrack what you have practised
A free account saves your progress, solutions and study plan across every problem on Codemia.
System Design practice on Codemia
Work through 120+ system design problems with detailed solutions, from rate limiters to multi-region storage.