IAM for Data Platforms
1. Introduction
Identity and Access Management (IAM) is a critical aspect of securing data platforms on AWS. IAM enables you to manage access to AWS services and resources securely.
2. Key Concepts
2.1 IAM Users
IAM Users represent individual identities with specific permissions for accessing AWS resources.
2.2 IAM Roles
IAM Roles are used to delegate access to AWS resources without using long-term credentials.
2.3 IAM Policies
Policies define permissions for IAM users and roles in JSON format, specifying allowed or denied actions.
2.4 IAM Groups
Groups are collections of IAM users that share the same permissions, simplifying management.
3. Best Practices
- Regularly audit IAM roles and policies.
- Use IAM Roles for AWS services instead of hardcoding credentials.
- Enable MFA (Multi-Factor Authentication) for users with elevated access.
- Implement logging and monitoring using AWS CloudTrail.
4. Code Examples
Create an IAM Policy for S3 access:
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": "s3:*",
"Resource": "*"
}
]
}Attach the policy to a user:
aws iam attach-user-policy --policy-arn arn:aws:iam::aws:policy/AmazonS3FullAccess --user-name Bob5. FAQ
What is the difference between IAM Roles and IAM Users?
IAM Users are permanent identities with credentials, while IAM Roles are temporary identities assumed by AWS services or applications.
How do I ensure compliance with IAM?
Regularly review IAM policies, use MFA, and monitor access logs with AWS CloudTrail.
6. Flowchart of IAM Implementation
graph LR;
A[Start] --> B{Define Access Needs};
B -->|Users| C[Create IAM Users];
B -->|Roles| D[Create IAM Roles];
C --> E[Attach Policies];
D --> E;
E --> F[Review and Audit];
F --> G[End];