IAM Roles and Permissions
Configure AWS Identity and Access Management (IAM) roles and policies to grant your Lambda functions the necessary permissions securely.
IAM Roles and Permissions is a free Serverless Backend with AWS Lambda & API Gateway lesson on CoddyKit — lesson 1 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the Serverless Backend with AWS Lambda & API Gateway learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.
Securing Your Serverless
Welcome! In serverless applications, security is paramount. AWS Identity and Access Management (IAM) is your key tool for managing who (or what) can do what in your AWS account.
For Lambda functions, IAM roles define the permissions your function needs to interact with other AWS services, like reading from a database or writing logs.
AWS IAM Explained
AWS IAM stands for Identity and Access Management. It's a service that helps you securely control access to AWS resources.
- You can manage users, groups, and roles.
- You define permissions using policies.
- It ensures only authorized entities can perform actions.
Think of it as the security guard and rulebook for your AWS cloud.
Understanding IAM Roles
An IAM Role is a set of permissions that you can assign to AWS services (like Lambda) or users who need to perform actions in your account.
Unlike users, roles don't have standard long-term credentials (like passwords). Instead, they are "assumed" by an entity, providing temporary security credentials.
Your Lambda function will assume an IAM role to get the permissions it needs.
Policies Define Permissions
IAM Policies are JSON documents that explicitly state what actions are allowed or denied on which AWS resources.
When you create an IAM role, you attach one or more policies to it. These policies dictate what the role (and thus your Lambda function) is permitted to do.
Policies are the core of IAM security!
Policy JSON Breakdown
IAM policies have a specific structure, typically including these key elements:
Effect: Whether toAlloworDenyan action.Action: The specific AWS API calls allowed (e.g.,s3:GetObject,dynamodb:PutItem).Resource: The AWS resources the action applies to (e.g., an S3 bucket, a DynamoDB table).
These elements combine to form a clear permission statement.
Who Can Assume This Role?
Every IAM role has a Trust Policy. This policy specifies which entities are allowed to "assume" (use) that role.
For a Lambda execution role, the trust policy typically allows the Lambda service itself to assume the role. This is crucial for your function to operate.
The principal in the trust policy for Lambda is usually lambda.amazonaws.com.
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Principal": {
"Service": "lambda.amazonaws.com"
},
"Action": "sts:AssumeRole"
}
]
}Granting Lambda Permissions
Beyond assuming the role, your Lambda function needs permissions to interact with other services. A common requirement is to write logs to AWS CloudWatch.
This policy grants the necessary logging permissions:
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"logs:CreateLogGroup",
"logs:CreateLogStream",
"logs:PutLogEvents"
],
"Resource": "arn:aws:logs:*:*:*"
}
]
}Least Privilege Principle
A core security best practice is the Principle of Least Privilege. This means you should only grant the minimum permissions necessary for a function or user to perform its intended task.
- Avoid giving
*(all) permissions if specific actions are sufficient. - Limit resource scope (e.g., specific S3 bucket, not all S3 buckets).
- Regularly review and remove unused permissions.
This reduces the potential impact if a role or function is compromised.
IAM Policy Check
Based on what you've learned, which of the following are essential components of an AWS IAM policy statement?
Recap: IAM for Lambda
Great job! You've learned the fundamentals of securing your serverless applications using AWS IAM.
- IAM Roles provide temporary credentials for services like Lambda.
- IAM Policies define permissions using JSON.
- Key policy elements are
Effect,Action, andResource. - Always follow the Principle of Least Privilege.
Proper IAM configuration is vital for robust and secure serverless architectures!
Frequently asked questions
Is the “IAM Roles and Permissions” lesson free?
Yes — the full text of “IAM Roles and Permissions” is free to read here on the web, and the Serverless Backend with AWS Lambda & API Gateway course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the Serverless Backend with AWS Lambda & API Gateway course, upgrade to CoddyKit PRO.
What will I learn in “IAM Roles and Permissions”?
Configure AWS Identity and Access Management (IAM) roles and policies to grant your Lambda functions the necessary permissions securely. You practise Serverless Backend with AWS Lambda & API Gateway with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.
Do I need any experience to start Serverless Backend with AWS Lambda & API Gateway?
No prior experience is required. Serverless Backend with AWS Lambda & API Gateway on CoddyKit is structured for beginners through advanced learners; this is — lesson 1 of 4, so you can start here or from the beginning and move at your own pace.
How long does the “IAM Roles and Permissions” lesson take?
Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.
Can I write and run code in this Serverless Backend with AWS Lambda & API Gateway lesson?
Yes. Every Serverless Backend with AWS Lambda & API Gateway lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.
All lessons in this course
- IAM Roles and Permissions
- API Gateway Authorizers
- Securing Lambda with VPC
- Protecting Secrets with AWS Secrets Manager