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Amazon DynamoDB data modeling for Multi-Tenancy – Part 2
- This article is the second in a series focusing on Amazon DynamoDB data modeling for a multi-tenant SaaS application, particularly an issue tracking application.
- It covers key aspects like selecting a primary key design, creating a data schema, and implementing access patterns using the AWS CLI.
- Considerations for selecting a primary key for multi-tenancy are discussed, emphasizing tenant isolation and DynamoDB's throughput limits.
- The article stresses the importance of using a composite primary key for 'get all' requirements in multi-tenant scenarios.
- It advises against using long and descriptive attribute names due to DynamoDB's item size limit.
- The article demonstrates using tenantId in the primary key and strategies to distribute data across partitions to leverage DynamoDB's scalability.
- Best practices for data schema design in SaaS are outlined, focusing on performance optimization and avoiding filter expressions.
- Modeling item collections, summaries, secondary indexes, transactions, and aggregations are discussed to meet various access patterns efficiently.
- Use of DynamoDB Streams and AWS Lambda for aggregations and ensuring tenant isolation in Global Secondary Indexes (GSIs) are highlighted.
- The article concludes by summarizing key takeaways on query efficiency, tenant isolation, GSI usage, and implementation using AWS CLI.
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