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Serverless AWS Lambda Development · 课时

用于 Lambda 安全的 IAM 角色

掌握 IAM 角色的创建与应用,确保 Lambda 函数仅拥有安全访问其他 AWS 服务所需的权限

用于 Lambda 安全的 IAM 角色 是 CoddyKit 上的免费 Serverless AWS Lambda Development 课时。 这是第 3 节课,共 4 节。 你可以在下方免费阅读本课时的完整内容 — 然后在浏览器中使用内置代码编辑器和全天候 AI 导师进行实践。 这是 Serverless AWS Lambda Development 学习路径的一部分,你的进度在网页和 CoddyKit 应用中同步。 Serverless AWS Lambda Development 课程共包含 4 节课。

本课时的部分内容尚未翻译,以英文显示。

Lambda Needs Permissions

Imagine your Lambda function as a tiny worker. To do its job, like saving data to a database or sending emails, it needs permission to talk to other AWS services.

Without the right permissions, your function would be like a worker without a key to the office – unable to access the tools it needs!

What is an IAM Role?

In AWS, an IAM Role (Identity and Access Management Role) is a set of permissions that you can assign to AWS services, like Lambda functions, or to users.

Unlike an IAM user, a role doesn't have its own credentials. Instead, an entity (like your Lambda function) assumes the role temporarily to gain its permissions.

The Trust Policy

Every IAM Role has a Trust Policy. This policy specifies who or what is allowed to assume the role.

For a Lambda function, the trust policy typically allows the Lambda service to assume the role on behalf of your function. This is crucial for your function to gain the permissions defined by the role.

Lambda Trust Policy Example

Here's what a common trust policy for a Lambda execution role looks like. Notice the 'Service': 'lambda.amazonaws.com', which explicitly grants trust to the Lambda service.

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

Permission Policies

Once an entity assumes a role (thanks to the trust policy), the Permission Policy defines what actions that entity can perform on which resources.

  • Action: What can be done (e.g., s3:GetObject, dynamodb:PutItem).
  • Resource: On what specific AWS resource (e.g., an S3 bucket, a DynamoDB table).
  • Effect: Whether the action is Allow or Deny.

Principle of Least Privilege

A critical security concept for IAM roles is the Principle of Least Privilege. This means you should grant only the minimum permissions necessary for a function to perform its task, and no more.

Over-privileged roles can create security vulnerabilities. Always think: 'What exactly does this function need to do?'

Common: CloudWatch Logs Policy

Every Lambda function, by default, sends its logs to Amazon CloudWatch. To do this, its execution role needs specific permissions to create log groups and put log events.

This policy grants those essential logging permissions:

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": [
        "logs:CreateLogGroup",
        "logs:CreateLogStream",
        "logs:PutLogEvents"
      ],
      "Resource": "arn:aws:logs:*:*:*"
    }
  ]
}

Example: S3 Read-Only Access

If your Lambda function needs to read files from a specific Amazon S3 bucket, you would attach a permission policy like this to its execution role. This allows reading (s3:GetObject) but not writing or deleting.

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": [
        "s3:GetObject"
      ],
      "Resource": "arn:aws:s3:::my-unique-bucket/*"
    }
  ]
}

Creating & Attaching Roles

You typically create an IAM role in the AWS Management Console or via the AWS CLI/SDK, specifying its trust and permission policies.

When you create or update a Lambda function, you then select this IAM role as its execution role. This links the function to the defined permissions.

Check Your Knowledge

Understanding IAM roles is crucial for secure serverless applications. Let's test your understanding!

Recap: IAM Roles for Lambda

You've learned about the importance of IAM Roles for Lambda functions:

  • Roles provide permissions for Lambda to interact with other AWS services.
  • A Trust Policy allows the Lambda service to assume the role.
  • Permission Policies define specific actions on specific resources.
  • Always follow the Principle of Least Privilege for security.

Properly configured IAM roles are fundamental for building secure and functional serverless applications.

常见问题解答

「用于 Lambda 安全的 IAM 角色」课时是免费的吗?

是的 — 「用于 Lambda 安全的 IAM 角色」的完整文本可在网页上免费阅读。要进行交互式练习(内置代码编辑器和全天候 AI 导师)并解锁 Serverless AWS Lambda Development 课程的其余内容,请升级到 CoddyKit PRO。 Serverless AWS Lambda Development 课程共包含 4 节课。

「用于 Lambda 安全的 IAM 角色」这节课中我会学到什么?

掌握 IAM 角色的创建与应用,确保 Lambda 函数仅拥有安全访问其他 AWS 服务所需的权限 你通过在浏览器中直接运行的动手代码来练习 Serverless AWS Lambda Development,全天候 AI 导师会在你学习这节课的过程中回答你的问题。

学习 Serverless AWS Lambda Development 需要有经验吗?

无需任何先前经验。CoddyKit 上的 Serverless AWS Lambda Development 课程适合初学者到高级学习者,你可以从这里开始或从头开始,按照自己的节奏学习。 这是第 3 节课,共 4 节。

「用于 Lambda 安全的 IAM 角色」课时需要多长时间?

大多数 CoddyKit 课程大约需要 5–10 分钟。每节课都很精短且互动,所以你能稳步进步,并在网页和应用中从离开的地方继续。

我能在这节 Serverless AWS Lambda Development 课中编写并运行代码吗?

能。每节 Serverless AWS Lambda Development 课都包含内置代码编辑器,你可以在浏览器中直接编写并运行真实代码,并获得即时 AI 反馈 — 无需本地设置。

此课程中的所有课时

  1. 理解 Lambda 运行时与层
  2. 环境变量与配置
  3. 用于 Lambda 安全的 IAM 角色
  4. 使用版本与别名安全发布
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