Cloud Diagram Script Generation With Provider Templates
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The process of writing scripts to manage cloud computing components is challenging, time-consuming, and prone to errors, requiring technical skills and a high learning curve, and conventional solutions like Terraform and Ansible lack direct access to cloud provider features and are cumbersome.
Innovation Solution
A script generation system that allows users to draw cloud computing diagrams, which are processed to generate scripts automatically, incorporating templates and user preferences, eliminating the need for manual coding and reducing human error.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually write scripts to manage cloud computing components, then they can control and manage cloud resources, but the process becomes extremely challenging and time-consuming
Solution Approach 1:
The system uses templates as reusable copies of script patterns for common cloud computing tasks. Instead of writing scripts from scratch, users select and customize pre-defined templates, dramatically reducing the time and complexity of script generation while maintaining full functionality for managing cloud resources
Solution Approach 2:
The patent introduces an intermediary system that acts as a translator between natural language/cloud diagrams and executable scripts. This intermediary automatically generates scripts from user-friendly inputs, eliminating the need for users to manually write complex script code while ensuring proper syntax and structure
2Reliability
If users manually write scripts, then they can customize cloud management, but the process is prone to errors that may cause major issues
Solution Approach 1:
By using pre-validated templates as reusable copies, the system ensures that proven error-free patterns are repeated consistently. These templates have been tested and verified to work correctly, eliminating common syntax errors and logical mistakes that occur during manual script writing
Solution Approach 2:
The system incorporates validation and verification mechanisms that provide feedback to users about potential errors in their script configurations. The intermediary system checks generated scripts against known patterns and constraints, alerting users to issues before execution and preventing major problems
3Adaptability or versatility
If conventional solutions like Terraform and Ansible are used, then cloud resources can be managed, but they lack direct access to cloud provider features and are cumbersome
Solution Approach 1:
The system provides locally optimized templates for each specific cloud provider (AWS, Azure, GCP, etc.), incorporating provider-specific features and best practices directly into the templates. This allows users to access native cloud features through simplified interfaces without needing to learn complex conventional tooling
Solution Approach 2:
The patent creates a universal template system that works across multiple cloud providers while maintaining provider-specific capabilities. A single template framework can be adapted to different cloud platforms, providing both universality in approach and specificity in implementation, reducing the need for provider-specific tooling
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables non-technical users to efficiently create and execute scripts for cloud management, reducing complexity and errors, while providing direct access to cloud provider features through automated template integration.
Implementation Method 1
The server computing device may receive the cloud computing diagram and determine at least one cloud computing component in a cloud computing environment by performing image processing on the cloud computing diagram
Data Source
AI summary
A method includes receiving, by at least one processor, a cloud computing diagram that represents a cloud computing environment, determining, by the at least one processor, at least one cloud computing component in the cloud computing environment by performing image processing on the cloud computing diagram, generating, by the at least one processor, a script and retrieving at least one template associated with the at least one cloud computing component in the cloud computing environment, preparing, by the at least one processor, the script and refining the script by ordering each of the at least one template based on user preferences, and transmitting, by the at least one processor, the script.