Algebraic Deployment Pipeline Template Generation
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Solution Overview
Problem
Creating deployment templates for cloud-based services is time-consuming and prone to errors due to the complexity of managing multiple resources across various locations and deployment stages.
Innovation Solution
A method is introduced that analyzes an existing deployment pipeline to generate a deployment template by identifying deployment waves and stage groups, using algebraic expressions to model and factorize the pipeline, and performing noise-tolerant factorization to overcome irregularities, thereby simplifying the process of creating execution environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If deployment templates are manually created for cloud-based services, then configuration accuracy can be ensured, but the process is time-consuming and error-prone
Solution Approach 1:
The patent uses algebraic expressions to represent and copy the structure of existing deployment pipelines. By modeling the pipeline as a mathematical expression, the system can automatically generate deployment templates through algebraic manipulation and factorization, eliminating manual template creation while preserving the original pipeline's configuration accuracy.
Solution Approach 2:
The patent replaces the manual mechanical process of template creation with an automated algebraic system. Deployment pipelines are transformed into algebraic expressions, and template generation is achieved through automated factorization and noise-tolerant processing, substituting human effort with computational algorithms.
2Ease of operation
If deployment pipelines are simplified for easier management, then ease of operation improves, but the ability to handle complex multi-location deployments is reduced
Solution Approach 1:
The patent creates a universal algebraic modeling system that can handle diverse deployment scenarios across multiple locations and stages. The same algebraic framework and factorization techniques apply regardless of pipeline complexity, providing a unified approach that maintains both simplicity and adaptability.
Solution Approach 2:
The patent transforms deployment pipeline parameters into algebraic variables and coefficients. By changing the representation from complex procedural descriptions to mathematical parameters, the system can easily manipulate and adapt pipelines for different locations and stages while maintaining manageable complexity through standardized algebraic operations.
3Manufacturing precision
If manual analysis of deployment pipelines is performed, then accuracy in identifying deployment waves and stage groups can be achieved, but the process is time-consuming
Solution Approach 1:
The patent replaces manual analysis with automated algebraic factorization. The system transforms deployment pipeline descriptions into algebraic expressions and uses computational factorization algorithms to automatically identify deployment waves and stage groups, achieving both high accuracy and improved productivity.
Solution Approach 2:
The patent copies the structural patterns of deployment pipelines into algebraic expressions, preserving the logical relationships between deployment waves and stage groups. This algebraic copying enables automated analysis that maintains the accuracy of manual identification while dramatically increasing processing speed.
4Reliability
If deployment templates include detailed configurations for all resources, then completeness of deployment information is improved, but the complexity of template creation increases
Solution Approach 1:
The patent segments the deployment template creation process into distinct algebraic components: pipeline representation, factorization into deployment waves and stage groups, and template generation. This segmentation breaks down the complex task into manageable mathematical steps, reducing creation complexity while ensuring completeness through systematic processing.
Solution Approach 2:
The patent substitutes complex manual template creation with automated algebraic manipulation. The system uses factorization algorithms to automatically extract complete deployment information from pipeline descriptions, eliminating the need for manual configuration of each resource detail while ensuring comprehensive coverage.
Data Source
AI summary
A method of generating a deployment template based on a deployment pipeline that includes a plurality of pipeline stages to deploy a service in a plurality of deployment locations. The method may include identifying, based on the deployment pipeline, a plurality of groups of sequential pipeline stages, each group of sequential pipeline stages to be performed within a subset of the plurality of deployment locations. The method may further include identifying, based on the deployment pipeline, a plurality of stage groups, wherein each stage group references a plurality of deployment stages pertaining to a single group of sequential pipeline stages. The method may further include referencing, within the template, the plurality of stage groups.