Cloud Plug-in Generation via Library Introspection
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Solution Overview
Problem
Developers face challenges in generating plug-ins for Infrastructure as Code (IaC) systems due to the need for familiarity with contracts, policies, and REST API definitions, leading to time-consuming and error-prone processes.
Innovation Solution
The proposed solution involves generating domain-specific code as a plug-in for existing IaC systems, utilizing previously generated client libraries and resource meta-models to automate the plug-in generation process, thereby reducing human error and increasing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If developers manually generate plug-ins for IaC systems, then the plug-ins can be customized to meet specific requirements, but the process is time-consuming and error-prone
Solution Approach 1:
The system enables self-service automated generation of plug-ins by introspecting client libraries and generating code without requiring manual developer intervention for routine tasks, thereby reducing time loss while maintaining reliability through systematic code generation
Solution Approach 2:
The patent replaces the mechanical manual process of plug-in generation with an automated computational system that introspects client libraries and generates plug-in code automatically, eliminating human error and significantly reducing the time required for plug-in creation
2Reliability
If developers manually create plug-ins with full understanding of contracts and policies, then the plug-ins can be accurate and reliable, but the process becomes complex and time-consuming
Solution Approach 1:
The patent introduces an intermediary automated code generation system that mediates between the client library specifications and the final plug-in implementation, translating requirements into accurate code without requiring developers to directly navigate the complex contracts and policies
Solution Approach 2:
The system performs preliminary action by automatically introspecting client libraries and generating the foundational plug-in structure before developers need to intervene, pre-computing the code framework based on existing specifications to reduce both complexity and time
3Productivity
If automated code generation is used, then the process efficiency increases, but familiarity with contracts and policies is required to generate correct code
Solution Approach 1:
The system performs self-service by automatically introspecting client libraries and generating plug-in code without requiring developers to manually study contracts and policies, thereby maintaining high productivity while improving ease of operation through automated code synthesis
Data Source
AI summary
Methods, apparatus, systems, and articles of manufacture are disclosed to generate code as a plug-in in a cloud computing environment. An example system includes at least one memory, programmable circuitry, and machine readable instructions to program the programmable circuitry to introspect code in a library to obtain introspection data, the library corresponding to a resource that is to be deployed in a cloud infrastructure environment, generate a model based on the introspection data, the model to be a representation of the resource, cross-reference the model with a resource meta-model, the resource meta-model to map characteristics of the resource represented by the model to an actual state of the resource, and generate a plug-in based on the cross-referenced model.