Façade API Automation for Multi-Tenant Data Access
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Solution Overview
Problem
Data storage systems face complexity and service disruptions due to manual updates of data tenant structures, leading to information leakage and improper access as users may inadvertently create new data tenant identifiers or split existing ones, causing data fragmentation and access issues.
Innovation Solution
The data storage system automatically generates and modifies façade APIs associated with data tenants, directing queries through these APIs to ensure correct access and updates, converting user requests into appropriate data store requests and updating endpoints to reflect changes in data tenant configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual updates are used to maintain data tenant information, then flexibility in updating tenant structures is maintained, but service quality and data access reliability deteriorate due to delays and human error
Solution Approach 1:
The system automatically detects changes in data tenant operating structures and updates the façade API without human intervention. The computer automatically monitors tenant configurations, identifies modifications such as new tenant identifiers or splits, and regenerates the façade API to reflect these changes, eliminating manual update requirements while maintaining reliability.
Solution Approach 2:
The system implements a feedback mechanism where the façade API continuously monitors data tenant operating structures for changes. When modifications are detected (such as new tenant identifiers or tenant splits), the system automatically triggers an update cycle, generating a notification to regenerate the façade API, ensuring the API remains synchronized with the current tenant structure.
2Extent of automation
If manual updates of façade API are used, then control over API modifications is maintained, but information leakage and improper access occur due to delays in updating tenant information
Solution Approach 1:
The system proactively monitors data tenant operating structures for changes before they cause access issues. When modifications are detected (such as new tenant identifiers or tenant splits), the system automatically triggers an update cycle to regenerate the façade API, preventing information leakage and improper access by ensuring the API is updated before such security issues can occur.
Solution Approach 2:
The façade API update process is fully automated, with the system self-updating in response to detected tenant structure changes. This eliminates the window of vulnerability that exists during manual update transitions, as the API is immediately regenerated and deployed without human intervention delays, preventing information leakage and maintaining proper access controls.
3Device complexity
If the façade API is not automatically updated, then system complexity is reduced, but data access completeness and accuracy deteriorate when tenant structures change
Solution Approach 1:
The system implements automatic monitoring of data tenant operating structures with feedback loops that detect changes such as new tenant identifiers or tenant splits. When changes are detected, the system automatically triggers a regeneration of the façade API, ensuring data access completeness and accuracy are maintained without requiring complex manual update procedures.
Solution Approach 2:
The façade API automatically detects when it needs updating by monitoring tenant structure changes and self-regenerates to reflect the current tenant configuration. This self-service approach maintains data access accuracy while minimizing system complexity, as the update process is automated and does not require complex manual intervention workflows.
Data Source
AI summary
A dataset management system uses a façade API to automate access to data stores maintained by data tenants. The system receives a configuration request from a data tenant and determines whether the configuration request corresponds to an existing data tenant. If an existing data tenant is identified, the system updates the façade API associated with the existing data tenant based on the configuration request. When a client request for data associated with the data tenant is received, the façade API formats the direct query to include the updated parameters and executes the direct query to retrieve data from the data stores.