Serverless Backend with AWS Lambda & API Gateway · 课时

IAM 角色与权限

配置 AWS Identity and Access Management(IAM)角色和策略,安全地授予 Lambda 函数所需权限

第 1 / 4 课10 个步骤

IAM 角色与权限 是 CoddyKit 上的免费 Serverless Backend with AWS Lambda & API Gateway 课时。 这是第 1 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 Backend with AWS Lambda & API Gateway 学习路径的一部分,你的进度在网页和 CoddyKit 应用中同步。 Serverless Backend with AWS Lambda & API Gateway 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。

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 to Allow or Deny an 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, and Resource.
  • Always follow the Principle of Least Privilege.

Proper IAM configuration is vital for robust and secure serverless architectures!

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常见问题解答

「IAM 角色与权限」课时是免费的吗?

是的 — 「IAM 角色与权限」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 Backend with AWS Lambda & API Gateway 课程的其余内容,请升级到 CoddyKit PRO。 Serverless Backend with AWS Lambda & API Gateway 课程共包含 4 节课。

「IAM 角色与权限」这节课中我会学到什么?

配置 AWS Identity and Access Management(IAM)角色和策略,安全地授予 Lambda 函数所需权限 你通过在浏览器中直接运行的动手代码来练习 Serverless Backend with AWS Lambda & API Gateway,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 Backend with AWS Lambda & API Gateway 需要有经验吗?

无需任何先前经验。CoddyKit 上的 Serverless Backend with AWS Lambda & API Gateway 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 1 节课,共 4 节。

「IAM 角色与权限」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。

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能。每节 Serverless Backend with AWS Lambda & API Gateway 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. IAM 角色与权限
  2. API Gateway 授权器
  3. 使用 VPC 保护 Lambda
  4. 使用 AWS Secrets Manager 保护机密
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