Automated API Governance Platform for Harmonizing and Validating Definitions
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Solution Overview
Problem
The increasing complexity and inconsistency of application programming interfaces (APIs) due to various development approaches lead to difficulties in designing, managing, and deploying APIs across different platforms, resulting in errors and inefficiencies in collaborative development and deployment.
Innovation Solution
An automated application interface governance platform that harmonizes, validates, and replicates API definitions, using a model harmonizer, governance analyzer, and replication generator to standardize API structures, reduce duplication, and ensure interoperability across different APIs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple ad hoc and non-standard APIs are created for specific use cases, then API functionality and coverage increase, but API consistency and manageability deteriorate
Solution Approach 1:
The patent segments API management into distinct functional modules including API definition, validation, harmonization, and replication components. Each module handles specific aspects of API processing independently, allowing the system to manage diverse APIs without overwhelming complexity.
Solution Approach 2:
The patent introduces an intermediary governance platform that sits between API creators and API consumers. This platform harmonizes and validates APIs before deployment, acting as a mediator that ensures consistency across multiple APIs without restricting their individual functionality.
2Manufacturing precision
If manual API design and error correction processes are used, then API definition accuracy can be improved, but development time and resource consumption increase
Solution Approach 1:
The patent implements preliminary validation and harmonization checks that are automatically performed during API definition creation. Errors are detected and corrected before deployment through automated governance rules, eliminating the need for manual error correction later in the process.
Solution Approach 2:
The patent incorporates feedback mechanisms where the governance platform continuously monitors API definitions and provides automated validation results. This feedback loop enables real-time correction of inconsistencies without requiring manual intervention, maintaining accuracy while reducing development time.
3Adaptability or versatility
If API standards are enforced to facilitate reuse, then API interoperability improves, but flexibility in individual API design is reduced
Solution Approach 1:
The patent applies local quality by allowing different levels of standardization for different API components. Critical interoperability elements are strictly standardized, while non-critical design aspects maintain flexibility. This enables APIs to be reusable where needed without imposing unnecessary constraints on overall design.
4Stability of the object's composition
If legacy APIs are manually recast to comply with current standards, then API consistency improves, but resource consumption and friction between teams increase
Solution Approach 1:
The patent uses automated replication to create standardized versions of legacy APIs without manually recasting them. The system copies legacy API functionality and applies governance rules to generate compliant versions, preserving original API behavior while ensuring consistency across the API portfolio.
Data Source
AI summary
Various embodiments relate generally to data science and data analysis, computer software and systems, including a subset of intermediary executable instructions constituting an communication interface between various software and/or hardware platforms, and, more specifically, to an automated application interface governance platform to automate development, maintenance, and governance functions for application interfaces, such as harmonizing, validating, and/or replicating application program interfaces (“APIs”). For example, a method may include identifying a subset of application interfaces, synthesizing a data structure for each application interface, analyzing the data structure against other data structures to identify duplicative portions among multiple data structures, substituting a reference to a location into a portion of multiple application interfaces. Optionally, the method may include evaluating interoperability of multiple application interfaces to validate collective operation of a subset of application interfaces.


