Service Specification Relationship Validation for Accurate Catalog Mapping
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Solution Overview
Problem
Existing systems face inefficiencies in creating valid relationships between service specifications, leading to time-consuming processes and incorrect mappings, especially when dealing with parent-child service specifications and multiple relationships, which can corrupt business flows and introduce integration failures.
Innovation Solution
A system and method that allows users to define and register valid relationships between service specifications through a user interface and a new API, ensuring that relationships are correctly validated and stored in a service catalog, reducing manual intervention and improving efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual relationship creation between service specifications is used, then relationship accuracy can be maintained, but the process becomes time-consuming and labor-intensive
Solution Approach 1:
The system automatically creates and validates relationships between service specifications by extracting information from service catalogs and generating complementary relationships without requiring manual intervention. The automated relationship creator queries service catalogs, identifies parent-child relationships, and generates complementary relationships automatically, allowing the system to serve itself rather than requiring human operators to manually create each relationship.
Solution Approach 2:
The system performs preliminary actions by pre-establishing relationships between service specifications in the service catalog before actual service deployment. By creating and storing these relationships in advance, the system eliminates the need for manual relationship creation during service deployment, thereby reducing process time while maintaining accuracy through pre-validated relationship definitions.
2Productivity
If automated relationship creation is implemented, then process efficiency improves, but relationship validation complexity increases
Solution Approach 1:
The automated relationship creator incorporates feedback mechanisms that validate generated relationships against predefined rules and service catalog information. The system queries service catalogs to verify relationship validity, checks for complementary relationships, and ensures that generated relationships conform to established patterns, thereby managing validation complexity through structured feedback loops.
Solution Approach 2:
The system introduces an intermediary validation layer that mediates between automated relationship generation and final relationship establishment. This intermediary component, the automated relationship creator, handles the complex validation logic by querying service catalogs, identifying valid parent-child relationships, and generating complementary relationships according to predefined rules, thereby simplifying the overall validation process.
3Measurement precision
If relationship tables are manually updated, then data accuracy is maintained, but operational overhead increases
Solution Approach 1:
The system automatically updates relationship tables by extracting relationship information from service catalogs and inserting it into the relationship table without manual intervention. The automated relationship creator queries service catalogs, identifies relationships, and performs database operations automatically, eliminating the need for manual table updates while maintaining data accuracy through automated validation.
Solution Approach 2:
The system replaces manual mechanical operations (manual table updates) with automated electronic processes. The automated relationship creator uses programmatic queries to service catalogs and automated database operations to update relationship tables, substituting human manual work with electronic automation that maintains accuracy through structured data extraction and validation.
Data Source
AI summary
A method includes receiving a unilateral relationship between a first service specification and a second service specification; receiving a complimentary relationship between the second service specification and the first service specification; storing each relationship in a relationship table included in a service catalog; receiving a payload corresponding to the first service specification, where the payload includes a service specification relationship with the second service specification; verifying the service specification relationship in the payload correlates with the unilateral relationship stored in the relationship table; in response to the service specification relationship in the payload correlating with the unilateral relationship stored in the relationship table, verifying whether the complimentary relationship exists in the relationship table; and in response to the complimentary relationship existing in the relationship table, updating automatically a service corresponding to the second service specification with a service specification relationship with the first service specification.