Application-Agnostic Logging Pipelines With Live Configuration Updates
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Solution Overview
Problem
Existing logging pipeline architectures for different applications are typically manually designed and maintained, requiring specific knowledge and leading to inefficiencies in managing logs across diverse applications and platforms.
Innovation Solution
A user interface facilitates the creation of logging pipelines that are application-agnostic, using generic functions and custom objects like Kubernetes CRDs to automate pipeline generation and updates without restarting environments, allowing multiple pipelines to run concurrently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manually separate logging pipelines are created for each application, then logging can be customized for specific applications, but the complexity of pipeline management increases significantly
Solution Approach 1:
The patent implements a universal logging pipeline architecture that can handle multiple applications through a single standardized interface. The system defines a common pipeline structure with configurable components that can be adapted to different applications without creating separate manual pipelines for each one, thus reducing management complexity while maintaining application-specific customization capabilities
Solution Approach 2:
The logging pipeline is divided into modular, configurable components that can be independently selected and configured for different applications. This segmentation allows the system to build customized logging behaviors through composition of standard components rather than creating entirely separate pipelines, balancing customization needs with simplified management
2Reliability
If logging pipelines are updated, then logging functionality can be improved, but service interruptions occur requiring environment restarts
Solution Approach 1:
The system implements dynamic pipeline configuration that allows logging pipelines to be updated without requiring environment restarts. The configurable components can be modified at runtime, enabling continuous logging functionality while improving logging capabilities, thus maintaining service continuity during updates
Solution Approach 2:
The patent establishes a predefined pipeline architecture with configurable components that can be prepared and validated before deployment. This preliminary configuration structure allows updates to be applied smoothly without causing service interruptions, as the system is designed to accommodate changes in advance
3Adaptability or versatility
If multiple logging pipelines are managed manually, then each application's logging needs can be addressed, but the time and effort required for pipeline creation and maintenance increases
Solution Approach 1:
The system provides a universal pipeline template that can be reused across multiple applications, eliminating the need to manually create separate pipelines for each application. The configurable components allow the same template to be adapted to different applications' specific logging needs, significantly reducing the time and effort required for pipeline creation and maintenance
Solution Approach 2:
The patent implements a template-based approach where a standardized logging pipeline can be copied and configured for multiple applications. This copying mechanism allows rapid deployment of logging capabilities across diverse applications without manual recreation, reducing maintenance time while maintaining application-specific customization through configuration parameters
Data Source
AI summary
A user interface facilitates a user designing one or more logging pipelines that may run concurrently on a computer system for logging information relative to one or more respective application. Custom object instances that run in a POD facilitate translating the applications' formats, protocols, and rules for use by generic logging function components selected by the user when designing the pipelines. The custom object instances facilitate updates to a given pipeline being implemented without affecting other active pipelines that are logging application activity.