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Welcome to the AWS Lambda tutorial with Python . In this tutorial,
I have demonstrated on how to create IAM or Execution role for Lambda function. How to map role to lambda function.
To create an IAM (Identity and Access Management) role for a Lambda function in AWS, you can follow these steps:
Sign in to the AWS Management Console: Go to the AWS Management Console (https://console.aws.amazon.com) and sign in with your AWS account credentials.
Open the IAM Service: Once you're logged in, open the AWS IAM service by searching for "IAM" in the service search bar and selecting it.
Navigate to Roles: In the IAM console, select "Roles" from the left-hand navigation menu.
Create a New Role: Click on the "Create role" button to start creating a new IAM role.
Choose the Lambda Service as the Trusted Entity:
Under "Select type of trusted entity," choose "AWS service."
In the "Choose a use case" section, click on "Lambda" to select it as the AWS service that will use this role.
Attach Permissions Policies:
In the "Permissions" section, you can attach existing policies or create custom policies to define the permissions for your Lambda function.
Click on "Next: Tags" to proceed to the next step. Adding tags is optional but can help with organizing and managing your resources.
Add Tags (Optional): If you want to add tags to your IAM role for better resource management, you can provide key-value pairs in the "Add tags" section. This step is optional.
Review and Create: Review the information provided on the "Review" page, ensuring that everything is as desired.
Provide a Role Name: In the "Role name" field, give a meaningful name to your IAM role.
Create the Role: Click on the "Create role" button to create the IAM role.
Once the IAM role is created, you can assign it to your Lambda function during its configuration. This role will define the permissions and access policies that the Lambda function will have when interacting with other AWS services or resources.
Remember to ensure that the assigned IAM role has the necessary permissions to access the resources your Lambda function requires, such as AWS services, S3 buckets, or DynamoDB tables. Granting the least privilege necessary is recommended to maintain security.
Please note that the exact steps and options might vary slightly depending on updates to the AWS Management Console interface. It's always recommended to consult AWS documentation or guides for the most up-to-date instructions.