Automated Feature Toggle System for Runtime Failure Mitigation
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Solution Overview
Problem
In a microservices environment, enterprises face challenges in identifying and addressing runtime application failures quickly, leading to operational instability and potential issues for end-users due to the rapid release of features, often requiring feature rollback without awareness of user-facing issues.
Innovation Solution
An automated system that annotates features in source code, relates code execution paths to runtime issues, and automatically disables identified problematic features using a code analytic engine, integrated with feature toggle systems and issue tracking, to prevent further impact on users until issues are resolved.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If features are released quickly to market in a microservices environment, then productivity and market competitiveness are improved, but operational stability and reliability deteriorate due to runtime application failures
Solution Approach 1:
The system performs preliminary actions by automatically annotating code features with metadata before runtime execution, establishing a mapping between code paths and features in advance. This enables the system to quickly identify and disable problematic features when runtime failures occur, without needing to re-analyze the entire codebase during incident response.
Solution Approach 2:
The system implements feedback mechanisms by monitoring runtime application failures and automatically using this feedback to identify and disable the corresponding features through the annotation mappings. This closed-loop feedback enables rapid response to operational issues while maintaining the ability to quickly release new features.
2Reliability
If features are rolled back to address runtime failures, then reliability is improved, but loss of time occurs due to manual identification and response processes
Solution Approach 1:
The system performs self-service by automatically identifying the problematic feature through runtime failure analysis and annotation mappings, eliminating the need for manual code review and feature identification. The system autonomously disables the identified feature, significantly reducing the time required to restore application stability.
Solution Approach 2:
The patent replaces manual mechanical processes of code analysis and feature identification with automated computational systems. The code analytic engine uses algorithmic analysis of runtime failures combined with pre-established annotations to automatically determine which feature caused the failure, substituting human expertise with automated mechanical processes.
3Device complexity
If manual feature identification processes are used, then device complexity is reduced, but productivity decreases due to slower response to runtime issues
Solution Approach 1:
The system segments the codebase into discrete annotated features with unique identifiers and metadata, creating a modular structure that enables independent analysis and manipulation. This segmentation allows the automated system to quickly match runtime failures to specific features without analyzing the entire codebase, improving response speed while maintaining manageable complexity through structured organization.
Data Source
AI summary
A method includes receiving, by one or more processors of a computer system, source code, annotating, by the one or more processors of the computer system, features of the received source code using an automated annotation system to provide annotations for the features, relating, by the one or more processors of a computer system, a code execution path of the source code to the features during the annotating, identifying, by the one or more processors of the computer system, a runtime issue associated with the source code, identifying, by the one or more processors of the computer system using a code analytic engine, one or more of the features based on the annotations that are associated with the runtime issue, and automatically disabling, by the one or more processors of the computer system, the identified one or more features associated with the runtime issue.