AWS Lambda execution role - AWS Lambda

AWS Lambda execution role

A Lambda function's execution role is an AWS Identity and Access Management (IAM) role that grants the function permission to access AWS services and resources. You provide this role when you create a function, and Lambda assumes the role when your function is invoked. You can create an execution role for development that has permission to send logs to Amazon CloudWatch and to upload trace data to AWS X-Ray.

To view a function's execution role

  1. Open the Functions page of the Lambda console.

  2. Choose a function.

  3. Choose Permissions.

  4. Under Resource summary, view the services and resources that the function can access. The following example shows the CloudWatch Logs permissions that Lambda adds to an execution role when you create it in the Lambda console.

          A execution role in the Lambda console.
  5. Choose a service from the dropdown list to see permissions related to that service.

You can add or remove permissions from a function's execution role at any time, or configure your function to use a different role. Add permissions for any services that your function calls with the AWS SDK, and for services that Lambda uses to enable optional features.

When you add permissions to your function, make an update to its code or configuration as well. This forces running instances of your function, which have out-of-date credentials, to stop and be replaced.

Creating an execution role in the IAM console

By default, Lambda creates an execution role with minimal permissions when you create a function in the Lambda console. You can also create an execution role in the IAM console.

To create an execution role in the IAM console

  1. Open the Roles page in the IAM console.

  2. Choose Create role.

  3. Under Common use cases, choose Lambda.

  4. Choose Next: Permissions.

  5. Under Attach permissions policies, choose the AWS managed policies AWSLambdaBasicExecutionRole and AWSXRayDaemonWriteAccess.

  6. Choose Next: Tags.

  7. Choose Next: Review.

  8. For Role name, enter lambda-role.

  9. Choose Create role.

For detailed instructions, see Creating a role for an AWS service (console) in the IAM User Guide.

Managing roles with the IAM API

To create an execution role with the AWS Command Line Interface (AWS CLI), use the create-role command.

$ aws iam create-role --role-name lambda-ex --assume-role-policy-document file://trust-policy.json { "Role": { "Path": "/", "RoleName": "lambda-ex", "RoleId": "AROAQFOXMPL6TZ6ITKWND", "Arn": "arn:aws:iam::123456789012:role/lambda-ex", "CreateDate": "2020-01-17T23:19:12Z", "AssumeRolePolicyDocument": { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Principal": { "Service": "" }, "Action": "sts:AssumeRole" } ] } } }

The trust-policy.json file is a JSON file in the current directory that defines the trust policy for the role. This trust policy allows Lambda to use the role's permissions by giving the service principal permission to call the AWS Security Token Service AssumeRole action.

Example trust-policy.json

{ "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Principal": { "Service": "" }, "Action": "sts:AssumeRole" } ] }

You can also specify the trust policy inline. Requirements for escaping quotes in the JSON string vary depending on your shell.

$ aws iam create-role --role-name lambda-ex --assume-role-policy-document '{"Version": "2012-10-17","Statement": [{ "Effect": "Allow", "Principal": {"Service": ""}, "Action": "sts:AssumeRole"}]}'

To add permissions to the role, use the attach-policy-to-role command. Start by adding the AWSLambdaBasicExecutionRole managed policy.

$ aws iam attach-role-policy --role-name lambda-ex --policy-arn arn:aws:iam::aws:policy/service-role/AWSLambdaBasicExecutionRole

AWS managed policies for Lambda features

The following AWS managed policies provide permissions that are required to use Lambda features:

  • AWSLambdaBasicExecutionRole – Permission to upload logs to CloudWatch.

  • AWSLambdaDynamoDBExecutionRole – Permission to read records from an Amazon DynamoDB stream.

  • AWSLambdaKinesisExecutionRole – Permission to read events from an Amazon Kinesis data stream or consumer.

  • AWSLambdaMSKExecutionRole – Permission to read records from an Amazon Managed Streaming for Apache Kafka (Amazon MSK) cluster.

  • AWSLambdaSQSQueueExecutionRole – Permission to read a message from an Amazon Simple Queue Service (Amazon SQS) queue.

  • AWSLambdaVPCAccessExecutionRole – Permission to manage elastic network interfaces to connect your function to a virtual private cloud (VPC).

  • AWSXRayDaemonWriteAccess – Permission to upload trace data to X-Ray.

  • CloudWatchLambdaInsightsExecutionRolePolicy – Permission to write runtime metrics to CloudWatch Lambda Insights.

For some features, the Lambda console attempts to add missing permissions to your execution role in a customer managed policy. These policies can become numerous. To avoid creating extra policies, add the relevant AWS managed policies to your execution role before enabling features.

When you use an event source mapping to invoke your function, Lambda uses the execution role to read event data. For example, an event source mapping for Kinesis reads events from a data stream and sends them to your function in batches. You can use event source mappings with the following services:

In addition to the AWS managed policies, the Lambda console provides templates for creating a custom policy with permissions for additional use cases. When you create a function in the Lambda console, you can choose to create a new execution role with permissions from one or more templates. These templates are also applied automatically when you create a function from a blueprint, or when you configure options that require access to other services. Example templates are available in this guide's GitHub repository.