Token Management Application for Data Layer Service Availability
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Solution Overview
Problem
Service-oriented architectures face delays and operational disruptions when a data store accessed by the data layer service becomes unavailable, as dependent services cannot proceed with their operations without valid data tokens, which are hindered by the unavailability of the data store.
Innovation Solution
The token management application generates temporary data tokens to allow services to continue execution, while concurrently querying the data layer service once the data store becomes available, facilitating the replacement of temporary tokens with valid ones through APIs or notification services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the data layer service waits for the data store to be available before issuing tokens, then data security is maintained, but service operations are delayed and productivity decreases
Solution Approach 1:
The system performs preliminary actions by issuing temporary tokens immediately when data is received, before the data store is available. This allows service operations to proceed in parallel with data storage, eliminating waiting time while maintaining security through the temporary token mechanism that validates later against the data store.
Solution Approach 2:
Temporary tokens serve as an intermediary mechanism between the data layer service and dependent services. These tokens allow services to execute operations without direct access to the unavailable data store, bridging the gap between immediate service needs and delayed data availability while maintaining security constraints.
2Productivity
If the data layer service issues tokens immediately without data store availability, then service productivity is maintained, but data security and token validity are compromised
Solution Approach 1:
The system performs preliminary token issuance with the understanding that full validation will occur later. The temporary token is issued in advance with limited scope, allowing immediate service execution while the comprehensive security check against the data store is performed subsequently when data becomes available.
Solution Approach 2:
The token system transitions from a static all-or-nothing approach to a dynamic two-stage process. Tokens evolve from temporary issuance state to validated state, with their validity and scope changing over time based on data store availability. This dynamic approach allows the system to adapt security enforcement to current operational conditions.
3Reliability
If the system uses a two-stage token system with temporary and valid tokens, then service availability is improved, but device complexity increases
Solution Approach 1:
The token system is segmented into two distinct types: temporary tokens for immediate operations and valid tokens for authenticated access. This segmentation allows each token type to serve its specific purpose with appropriate validation rules, simplifying the overall logic compared to a single complex token system that must handle all scenarios.
Solution Approach 2:
The temporary token acts as an intermediary that simplifies the interaction between services and the data layer service. Instead of services needing to implement complex retry logic or availability checks, they simply use the temporary token to proceed, with the system handling the complexity of validation and token replacement in the background.
Data Source
AI summary
Disclosed are various embodiments for a token management application. A data block tokenization call to a data layer service fails when a data store is unavailable. The token management application issues a temporary data token to the service calling the data layer service. The token management application completes the data block tokenization call on behalf of the service to obtain a valid data token. The valid data token is then communicated to services having the temporary data token.