Patch Automation Tool for Pipeline Stage Verification
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Solution Overview
Problem
Complex software applications face delays and errors in defect remediation and feature introduction due to manual, error-prone methodologies in conventional software development environments, particularly in distributed and cloud-based systems, where patches often require navigating multiple stages of pipelines and obtaining approvals.
Innovation Solution
A patch automation tool (PAT) is implemented to automate the patch-related tasks, connecting to data sources like pipeline metadata repositories and authorization databases, providing graphical user interfaces to guide users through the patch injection and deployment process, ensuring valid target stages, permissions, and minimizing human errors by dynamically generating GUI elements and providing analytics recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual command-line driven operations are used for patch deployment, then flexibility and control are maintained, but error rates increase and deployment time extends
Solution Approach 1:
The system enables self-service automation where the patch management system automatically executes deployment operations, validates patches, and manages rollbacks without requiring manual command-line intervention, thereby reducing both error rates and deployment time
Solution Approach 2:
Manual command-line operations are replaced with an automated software system that uses programmatic interfaces and scripts to execute patch deployment, eliminating human error while maintaining control and flexibility through automated workflows
2Reliability
If patches are introduced through the complete multi-stage pipeline, then thorough testing is ensured, but deployment time becomes excessively long
Solution Approach 1:
The deployment process is segmented into two distinct paths: a complete multi-stage pipeline for full application releases and a streamlined accelerated path for patches, allowing each to be optimized independently for their specific requirements
Solution Approach 2:
For patches, the system performs a partial version of the full pipeline process - executing only the essential testing and validation steps necessary for patch quality while skipping non-essential stages, thereby reducing deployment time while maintaining adequate quality control
3Reliability
If multiple approval levels are required for patch deployment, then error prevention is improved, but deployment speed decreases
Solution Approach 1:
The approval process is made dynamic and adaptive - the system automatically adjusts the number and type of approval levels required based on patch characteristics such as severity, scope, and risk, allowing critical patches to proceed faster while maintaining rigorous review for high-risk changes
4Reliability
If comprehensive testing is performed at all pipeline stages, then defect detection is improved, but resource consumption increases
Solution Approach 1:
Testing resources are allocated with local quality - comprehensive testing is applied to critical components and high-risk patches, while less critical patches receive streamlined testing, optimizing the balance between defect detection and resource consumption
Data Source
AI summary
A graphical user interface is used to present one or more candidate patch target stages of a software development pipeline. Prior to deployment of a patch to a particular stage, an operation is performed to verify that a version of a deployed software at the particular stage has not changed since a record of a state of the particular stage was obtained. The deployment of the patch to the particular stage is initiated when the version of the deployed software has not changed.