Orchestration Platform for Automated Script Generation
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Solution Overview
Problem
Existing software development and deployment processes are inefficient and require significant user involvement, as they demand manual scripting, testing, and redeployment for each target system, especially when platform changes occur, leading to scalability issues and loss of reusable information.
Innovation Solution
An automation and orchestration platform that parses source scripts to separate commands and variables, creates a list of end functions, and generates orchestrated execution scripts for target machines, abstracting the deployment process by storing and reusing script templates and data in a repository, allowing for efficient deployment across different platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual scripting and testing is performed for each target system, then deployment accuracy is improved, but deployment time and user involvement increase significantly
Solution Approach 1:
The deployment process is segmented into distinct phases: script template creation, parameter extraction, script generation, and execution. This segmentation allows automated processing of routine tasks while maintaining manual oversight for critical decisions, thereby reducing overall deployment time without sacrificing accuracy.
Solution Approach 2:
Script templates are created in advance with predefined structures and common deployment patterns. These templates are stored in a repository and automatically reused for similar target systems, eliminating the need to manually create scripts from scratch for each deployment and significantly reducing deployment time.
2Adaptability or versatility
If platform-specific customization is performed for each target system, then system adaptability is improved, but device complexity and maintenance effort increase
Solution Approach 1:
A universal script template structure is designed that can accommodate multiple target systems and platforms. The template includes parameter placeholders and conditional logic that can be configured for different environments, allowing a single template framework to serve multiple purposes and reduce the need for separate customization processes for each system.
Solution Approach 2:
Successfully created script templates are copied and reused for similar deployment scenarios. The system maintains a repository of validated templates that can be automatically selected and adapted based on the target system characteristics, reducing complexity by avoiding redundant customization work.
3Reliability
If complete manual control is maintained for each deployment step, then deployment reliability is improved, but productivity and automation level decrease
Solution Approach 1:
The system incorporates feedback mechanisms where script execution results are automatically captured, analyzed, and used to improve future script generations. Error patterns and success metrics are fed back into the template refinement process, allowing the system to learn from past deployments and improve reliability over time while maintaining high automation levels.
Solution Approach 2:
The deployment system performs self-validation and self-correction through automated testing and error handling. Scripts are automatically tested against target system parameters before execution, and common errors are automatically corrected, reducing the need for manual intervention while maintaining reliability.
4Reliability
If extensive testing is performed for each script before deployment, then script reliability is improved, but development time and resource consumption increase
Solution Approach 1:
Comprehensive testing is performed in advance during script template creation and validation phases. Templates are pre-tested with multiple target system configurations to identify and resolve potential issues before actual deployment, reducing the need for extensive testing during each deployment cycle and accelerating the overall process.
Data Source
AI summary
A system, method, and platform for automated and orchestrated software development and deployment are described. The platform automatically creates scripts for the target platform and orchestrates its execution. The platform receives source script, separates script commands from variables and values, determines source data and target data in the scripts, and stores them separately. The platform further creates a list of end functions (also referred to as tasks) to be executed on the target machine based on a given workflow and target machine data and provides orchestrated detailed execution scripts for the target machine. As one may appreciate, the platform provides an automated way to use an existing script written for one target machine to generate scripts for another target machine.