Modular Fault Detection Plugins for Data Pipelines
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Solution Overview
Problem
Current data pipeline systems require manual configuration and testing, leading to inefficiencies due to the inability to share fault detection tests across software deployments, resulting in duplicated work and resource wastage.
Innovation Solution
A modular plugin architecture for fault detection systems that allows for the creation of reusable fault detection tests, with configurable arguments to adapt to different pipeline environments, and integration with machine learning for automated fault detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual configuration and testing is used for data pipeline systems, then customization to specific business needs is achieved, but significant human resource time is wasted and tests cannot be shared across deployments
Solution Approach 1:
The patent segments fault detection tests into modular, reusable components that can be independently configured and shared. Test cases are broken down into discrete units that can be assembled and adapted for different business needs without rewriting entire test suites, thereby reducing manual effort while maintaining customization.
Solution Approach 2:
The patent creates universal test templates and frameworks that can be applied across multiple software deployments and business contexts. These reusable test components serve multiple functions and can be configured through parameters to adapt to different data pipelines, eliminating the need to create separate tests for each deployment and significantly reducing human resource time.
2Reliability
If manual fault detection testing is performed for each software deployment, then specific validation needs are met, but the same work must be repeated across multiple deployments
Solution Approach 1:
The patent implements a copying mechanism where validated fault detection tests and test suites can be replicated across multiple software deployments. Once a test is created and validated for one deployment, it can be copied and adapted for other deployments, ensuring consistent fault detection accuracy while eliminating redundant manual testing work and improving overall productivity.
3Adaptability or versatility
If third-party engineers manage multiple pipelines for multiple clients, then service coverage is expanded, but the inability to share tests represents significant wasted human resources
Solution Approach 1:
The patent enables third-party engineers to manage multiple pipelines and client deployments more efficiently by providing universal, shareable test frameworks that work across different data pipeline configurations. Engineers can create tests once and reuse them across multiple clients and pipelines, expanding service coverage without proportionally increasing human resource requirements, thereby reducing the loss of valuable engineering capacity.
Data Source
AI summary
Discussed herein are embodiments of methods and systems which allow engineers or administrators to create modular plugins which represent the logic for various fault detection tests that can be performed on data pipelines and shared among different software deployments. In some cases, the modular plugins each define a particular test to be executed against data received from the pipeline in addition to one or more configuration points. The configuration points represent configurable arguments, such as variables and/or functions, referenced by the instructions which implement the tests and that can be set according to the specific operation environment of the monitored pipeline.