Domain-Agnostic Configuration Translation for Vendor-Neutral Deployment
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Solution Overview
Problem
Conventional infrastructure automation and configuration management systems require domain-specific or vendor-specific knowledge, creating a burden for IT and OT operations teams due to the need to learn multiple management systems and handle non-native methodologies in modern Cloud Native environments.
Innovation Solution
A translation layer between a standardized state declaration format (e.g., ConfigMap of Kubernetes) and automation systems (e.g., Ansible) is provided, using a translation engine and machine learning model to automatically generate and apply scripts for configuring computing systems, offering a vendor-agnostic and domain-agnostic representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If domain-specific or vendor-specific configuration languages are used, then configuration management can be performed with existing tools, but IT and OT operations teams must learn multiple management systems and handle non-native methodologies
Solution Approach 1:
The patent introduces a translation layer as an intermediary between the standardized configuration language and domain-specific automation tools. This mediator translates configurations into domain-specific languages for different computing platforms (Kubernetes, OpenStack, VMware, etc.), allowing teams to use a single standardized interface while maintaining compatibility with multiple existing tools without needing to learn each tool's specific syntax
Solution Approach 2:
The patent implements a universal configuration language that can represent infrastructure states across multiple different computing platforms and domains. This single standardized language serves multiple functions by being translated into various domain-specific languages, eliminating the need for teams to master multiple separate configuration methodologies while maintaining the ability to manage diverse infrastructure
2Ease of manufacture
If multiple vendor-specific management systems are used, then existing tools can be utilized, but the complexity of managing and learning different methodologies increases
Solution Approach 1:
The patent segments the configuration management system into three distinct layers: a standardized configuration language layer at the top, a translation layer in the middle that converts configurations to domain-specific languages, and existing automation tools at the bottom. This segmentation allows the standardized layer to remain simple while the translation layer handles the complexity of mapping to various domain-specific systems
Solution Approach 2:
The translation layer acts as an intermediary that absorbs the complexity of multiple vendor-specific systems. Instead of exposing this complexity to users, the intermediary layer translates all configurations through a unified standardized interface, hiding the underlying complexity while maintaining tool utilization capabilities
3Adaptability or versatility
If cloud native environments with non-native methodologies are used, then modern infrastructure can be managed, but teams must understand and reason with non-native methodologies
Solution Approach 1:
The translation layer serves as an intermediary that bridges standardized configuration languages with cloud native environments. It translates configurations into cloud native-specific methodologies (such as Kubernetes manifests, OpenStack templates, or VMware configurations), allowing teams to work with familiar standardized syntax while accessing modern cloud native infrastructure capabilities
Data Source
AI summary
A method includes receiving a state declaration associated with a target computing system, wherein the state declaration is in a standard format, translating the state declaration into configuration operations associated with the target computing system, generating a set of scripts to perform the configuration operations on the target computing system, and deploying the set of scripts to the target computing system to configure the target computing system according to the state declaration.


