Automated Configuration Adaptation in Application Deployment Pipelines
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Solution Overview
Problem
Manual configuration of application deployment between environments is error-prone and inefficient, as each environment has unique policies and configuration data, leading to potential incorrect information promotion and security risks.
Innovation Solution
An automated method for managing application deployment pipelines that detects environment policies and application configuration data to reconfigure the data set, ensuring compliance with system policies and preventing private credential transfer, thereby enabling seamless application movement between environments without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual configuration is used to move applications between environments, then flexibility and control are maintained, but errors increase and efficiency decreases
Solution Approach 1:
The system performs self-service by automatically detecting environment policies, identifying configuration data sets, and determining appropriate actions without human intervention. The deployment pipeline autonomously reconfigures data sets by implementing detected actions, eliminating manual configuration steps while maintaining accuracy and improving efficiency.
Solution Approach 2:
The patent replaces manual mechanical configuration processes with automated detection and processing systems. Instead of manually copying and adapting configuration data, the system uses automated policies to detect what actions are needed and implements them programmatically, substituting human operators with an automated control system.
2Productivity
If environment-specific configuration data is copied between environments, then deployment speed increases, but security risks and compliance issues increase
Solution Approach 1:
The system uses feedback mechanisms by detecting environment policies and using them to determine appropriate actions on configuration data sets. The policy detection creates a feedback loop that ensures configuration data is transformed according to the destination environment's requirements, preventing security violations while maintaining deployment speed.
Solution Approach 2:
The patent applies parameter changes by transforming configuration data based on detected policies. Instead of copying data as-is, the system modifies parameters and properties of configuration data sets according to the destination environment's policy requirements, ensuring security and compliance while enabling rapid deployment.
3Productivity
If configuration data is automatically copied between environments, then deployment efficiency improves, but configuration accuracy and policy compliance deteriorate
Solution Approach 1:
The system introduces an intermediary layer of policy detection and action determination between the source and destination environments. This intermediary processes configuration data through the lens of destination environment policies, ensuring accuracy and compliance while maintaining automated efficiency. The policy acts as a mediator that transforms data appropriately.
4Adaptability or versatility
If manual environment configuration is performed, then adaptability to unique environment requirements is maintained, but time consumption and operational complexity increase
Solution Approach 1:
The system achieves universality by creating a general-purpose deployment pipeline that can handle multiple environments with different policies through a single automated process. The policy detection mechanism is universal and adapts to any environment's specific requirements without needing manual reconfiguration, maintaining adaptability while reducing time consumption.
Data Source
AI summary
The present disclosure provides new methods and systems for managing applications in a deployment pipeline. For example, a policy of a first environment and a policy of a second environment are detected. A request to move an application from the first environment to the second environment is received. Configuration data of the first environment is incompatible with the second environment. A configuration data set associated with the application is detected and includes various pieces of configuration data. Based on the various policies and the configuration data set, actions to be implemented in the configuration data set are determined, including actions associated with each piece of configuration data. The actions are implemented on the pieces of configuration data to obtain a reconfigured configuration data set that includes different configuration data than that of the first environment. The application and the reconfigured configuration data set are moved to the second environment.


