A naukri.com initiative
Amazon
2w
8
Image Credit: Amazon
Amazon DynamoDB data modeling for Multi-tenancy – Part 3
- This article is the third in a series focusing on Amazon DynamoDB data modeling for a multi-tenant issue tracking application.
- It covers the validation of the data model for performance and security, along with extending the model for new access patterns and requirements.
- Validating the data model includes observing scaling patterns, using distributed load testing, and testing tenant isolation.
- Metrics play a crucial role in data model validation, and tools like Amazon CloudWatch Contributor Insights and AWS X-Ray are recommended.
- Key metrics to monitor include most accessed keys and most throttled keys, helping to detect performance issues and bottlenecks.
- Testing for tenant isolation involves creating test cases with different IAM credentials to prevent unauthorized cross-tenant access.
- Extending the data model can be achieved by overloading existing Global Secondary Indexes (GSIs), creating additional GSIs, or adding new tables.
- Considerations such as table per tenant vs. shared table, GSI proliferation costs, on-demand vs. provisioned capacity, and storage optimization are vital for cost efficiency.
- The article concludes by emphasizing the importance of having a scalable and secure DynamoDB data model for multi-tenancy, with recommendations for further learning resources.
- The authors of this article include Dave Roberts, Josh Hart, and Samaneh Utter, each bringing expertise in areas like SaaS solutions architecture and DynamoDB specialization.
Read Full Article
Like
For uninterrupted reading, download the app