Software Blueprint Mapping Across Virtual Infrastructures
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Solution Overview
Problem
Companies face inefficiencies in developing software blueprints across multiple environments due to a lack of DevOps engineers, inadequate automation, and non-standardization, leading to increased cloud costs and operational inefficiencies.
Innovation Solution
A system and method for creating a software architecture blueprint that captures user intent in a configuration language, allowing for the mapping and deployment of blueprint blocks across various virtual infrastructures like AWS, Azure, and GCP, with AI-driven anomaly detection and observability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual management of software blueprints is performed, then flexibility in customization is maintained, but productivity and efficiency deteriorate due to lack of automation
Solution Approach 1:
The patent introduces an automated intermediary system that translates high-level software architecture blueprints into infrastructure-specific configurations. This intermediary layer handles the transformation from abstract intent to concrete deployment, eliminating manual configuration work while maintaining architectural flexibility across different cloud environments.
Solution Approach 2:
The system automatically adjusts deployment parameters based on the target environment type (AWS, Azure, GCP). By detecting the virtual infrastructure type and automatically selecting appropriate mapping configurations, the system changes operational parameters without requiring manual intervention, thereby improving productivity through automation.
2Adaptability or versatility
If multiple virtual infrastructure environments are supported, then adaptability is improved, but device complexity increases due to multiple configuration mappings
Solution Approach 1:
The patent implements a universal blueprint translation engine that can operate across multiple virtual infrastructure environments (AWS, Azure, GCP) using a single unified architecture. The system maintains a library of environment-specific mapping configurations that are automatically selected based on the target platform, allowing one system to serve multiple environments without requiring separate tooling for each.
Solution Approach 2:
Instead of maintaining complex custom configurations for each environment, the system uses template copying and adaptation. Pre-defined mapping templates for different cloud providers are copied and automatically instantiated based on the selected environment, reducing the operational complexity of managing multi-environment deployments while maintaining full adaptability.
3Loss of energy
If cloud resources are managed without standardization, then operational flexibility is maintained, but loss of energy and resources increases due to wastage
Solution Approach 1:
The system incorporates feedback mechanisms that monitor cloud resource utilization and provide recommendations for optimization. By analyzing deployment patterns and resource usage metrics, the system identifies opportunities for resource consolidation and reallocation, reducing waste while maintaining operational flexibility through automated adjustments based on actual usage patterns.
Data Source
AI summary
The present invention provides a system for creating a manifestation of a software architecture blueprint in a virtual infrastructure. The system includes an interface to receive the software architecture blueprint capturing an intent of the user in a configuration language. The system further includes a control module to facilitate selection of the virtual infrastructure and map each block of the blueprint to a corresponding block of the virtual infrastructure using a map that depends on a type of the virtual infrastructure. The system includes an execution module to connect to the virtual infrastructure, and translate one or more corresponding blocks of the software architecture blueprint into an environment for deployment on the virtual infrastructure.