Workflow Recommendation Agent for DevOps Preference Compliance
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Solution Overview
Problem
Designing a workflow solution is a daunting task due to the intricate nature of selecting workload functionalities, processing ordering, application architectures, and supporting hardware infrastructures, compounded by the merger of different application categories like DA, HPC, and AI, which requires collaboration among users with varying roles and expertise, and adherence to constraints from governance, regulators, and operators.
Innovation Solution
A DevOps automation framework abstracts workflow details while incorporating user preferences, using a recommendation agent to search libraries and services for candidate solutions, scoring and ranking them based on user profiles, and deploying the highest-ranked solution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a workflow solution is designed manually with intricate selections of workload functionalities, processing ordering, application architectures, and hardware infrastructures, then the solution can be customized to meet specific user needs, but the design complexity and time required increase significantly
Solution Approach 1:
The patent introduces a recommendation agent as an intermediary between user requirements and workflow solution design. This agent automatically generates, evaluates, and ranks multiple candidate workflow solutions based on user preferences and constraints, eliminating the need for manual design while maintaining high adaptability. The agent mediates between the complex design space and user needs, providing customized solutions without exposing users to design complexity.
Solution Approach 2:
The system enables self-service by allowing users to specify their preferences and constraints, after which the recommendation agent autonomously performs the entire workflow solution design process. Users do not need to manually configure workload functionalities, processing ordering, or hardware infrastructures - the system serves itself by automatically generating optimized solutions that meet user requirements.
2Adaptability or versatility
If multiple users with varying roles and expertise collaborate to design a workflow solution, then diverse perspectives and expertise can be incorporated, but the coordination effort and time required increase
Solution Approach 1:
The recommendation agent serves as an intermediary that consolidates and processes preferences from multiple users with different roles and expertise. Instead of requiring direct coordination between users, the agent collects preferences from various stakeholders, reconciles conflicting requirements, and generates unified workflow solutions that incorporate diverse perspectives without requiring time-consuming coordination meetings.
Solution Approach 2:
The system provides a universal platform that handles preferences and constraints from multiple user roles (developers, operators, governance, regulators) through a single interface. The recommendation agent is multi-functional, capable of processing diverse input types from different stakeholders and producing integrated solutions, eliminating the need for separate coordination processes for each user role.
3Reliability
If workflow solutions must adhere to constraints from governance, regulators, and operators, then compliance and reliability are improved, but the design flexibility and speed of deployment are reduced
Solution Approach 1:
The system performs preliminary action by incorporating governance, regulatory, and operational constraints into the workflow solution generation process from the outset. The recommendation agent is configured with these constraints beforehand and automatically ensures compliance during solution design, eliminating the need for subsequent compliance checks and revisions that would slow down deployment.
Solution Approach 2:
The recommendation agent provides self-service by autonomously handling compliance requirements. It automatically adjusts workflow designs to meet governance, regulatory, and operational constraints without requiring manual intervention from compliance officers or repeated review cycles, thereby maintaining high reliability while preserving deployment speed.
4Measurement precision
If a comprehensive evaluation of multiple candidate workflow solutions is performed based on user preferences and constraints, then the quality and suitability of the selected solution is improved, but the computational resources and time required increase
Solution Approach 1:
The system applies partial action by ranking candidate workflow solutions based on user preferences and constraints without necessarily evaluating every possible attribute in exhaustive detail. The recommendation agent identifies and focuses on the most critical evaluation criteria relevant to each user's needs, achieving sufficient evaluation accuracy while consuming fewer computational resources than a complete exhaustive analysis would require.
Data Source
AI summary
A technique includes receiving a workflow request. The request is associated with a given role of a plurality of user roles. The technique includes providing a workflow solution to comply with the collection of development and operation preferences. Providing the workflow solution includes identifying a plurality of candidate workflow solutions. Identifying the plurality of candidate workflow solutions includes, for a given candidate workflow solution, selecting the given candidate workflow solution based on the collection of preferences and templates corresponding to respective workloads of the given candidate workflow solution. Providing the workflow solution includes ranking the plurality of candidate workflow solutions; and responsive to the ranking, selecting a candidate workflow solution and providing an attestation corresponding to the selected workflow solution.