DynamoDB multi-tenant IAM policy sharing documents with other users
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Understanding DynamoDB and Multi-Tenancy
Amazon DynamoDB is a fully managed NoSQL database service provided by AWS, known for its scalability, low latency, and flexibility. One of the typical use cases for DynamoDB is to build applications with multi-tenancy. Multi-tenancy allows an application to host multiple users (tenants) on the same instance, sharing resources while keeping each tenant's data isolated yet accessible as needed.
Multi-Tenancy Challenges in DynamoDB
A significant challenge in multi-tenant applications is efficiently managing and ensuring secure access to resources. With DynamoDB, this typically involves structuring data and permissions so that each tenant can only access their data or shared resources based on specific use cases.
Implementing multi-tenant architectures involves balancing isolation with resource sharing, which may dictate specific table designs and the configuration of AWS Identity and Access Management (IAM) policies.
Leveraging IAM for Multi-Tenant DynamoDB Access
AWS IAM allows you to control access to your resources securely. For DynamoDB, IAM policies can define who can access which data and what they can do with it. In a multi-tenant architecture, IAM responsibilities include:
- Isolation of tenant data: Ensure that each tenant can only perform operations on their data.
- Sharing data among tenants: Allow safe sharing of data with consent across tenants.
Sample IAM Policy for Tenant Isolation
Here is an example of a basic IAM policy that ensures only tenant-specific access for DynamoDB tables:
Key Components:
- Actions: Allowed operations on DynamoDB (e.g., GetItem, PutItem).
- Resource: Specifies the DynamoDB table ARN. Replace
TenantTablewith your table name. - Condition: Ensures that operations are tied to the user's identity through
${aws:username}.
Sharing Documents Across Tenants
To share documents across tenants, policy management involves allowing specific read operations on shared documents while enforcing write restrictions.
Enhanced IAM Policy for Sharing
Key Insights:
- Scan/Query: Allow users to view shared documents.
- Attributes Condition: Restricts access to only documents marked as
Public.
Best Practices for Multi-Tenant DynamoDB Access
- Designing Data Models Accurately:
- Use Partition keys effectively to naturally segregate data per tenant.
- Consider Global Secondary Indexes (GSI) for efficient querying without cross-tenant interference.
- Employing Resource-Based Policies:
- Use DynamoDB Fine-Grained Access Control (FGAC) to ensure item-level security.
- Utilizing AWS Lambda for Security Functions:
- Deploy AWS Lambda functions as a security barrier for complex permission logic, serving as a proxy to DynamoDB operations.
Summary
| Key Aspect | Description |
| Data Isolation | Use IAM conditions and policies to ensure tenant-specific access. |
| Shared Document Access | Allow scans and queries on specific tables with attribute-based conditions for public documents. |
| Security and Monitoring | Implement FGAC and use AWS CloudTrail for auditing user access and actions. |
| IAM Policy Customization | Customize IAM policies per tenant use cases to control specific operations and access on DynamoDB. |
Additional Considerations
- Monitoring and Logging: Implement logging for all access using AWS CloudTrail for operational insights and security audits.
- Cost Management: Be aware of the cost implications of resource sharing and data operations to avoid unexpected expenses.
By carefully designing IAM policies and utilizing DynamoDB's AWS integration, applications can achieve a secure, scalable multi-tenancy model that supports both segregation and data sharing among tenants as required.
Related reading
- DynamoDB ordered list
- DynamoDB pagination - last evaluated key is not null on last page
- DynamoDB primary key and indexes table design
- dynamodb putItem callback function not working
- Dynamodb query error - Query key condition not supported
- DynamoDB Query FilterExpression Multiple Condition Chaining Python
- DynamoDB Query Incorrect operand type
- DynamoDb Query items between two dates

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