Independent Cloud Pipelines for Live Data Validation Isolation
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Solution Overview
Problem
Traditional methods of deploying code in cloud environments introduce risks by testing new versions with live data, potentially affecting customers and requiring complex validation processes.
Innovation Solution
Deploying independent pipelines (IPs) in a cloud-based system, each with a different version of the service, allowing validation with real production data without impacting customers, and isolating each IP for debugging and security enforcement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If new versions of code are deployed and tested with live data in traditional methods, then validation with real production data is achieved, but customer environments are impacted and reliability decreases
Solution Approach 1:
The system segments the code validation process into isolated pipeline instances. Each pipeline instance processes a portion of customer data independently, allowing validation of new code versions without affecting the entire customer environment. This segmentation enables parallel validation while maintaining customer service stability.
Solution Approach 2:
The patent introduces pipeline instances as intermediary components between the new code and customer environments. These instances act as buffers that allow validation traffic to flow through new code versions without directly impacting production customer services, thus protecting reliability while enabling measurement.
2Productivity
If multiple pipeline instances are deployed for validation, then validation capability is improved, but device complexity increases
Solution Approach 1:
The patent creates universal pipeline instances that can handle multiple functions: processing production data, validating new code versions, and maintaining customer service continuity. Each instance is designed to be multi-functional, reducing the need for separate specialized components and thereby managing complexity while improving validation productivity.
Solution Approach 2:
The system manages complexity by allowing dynamic parameter changes in pipeline instances, such as adjusting the volume of data processed, the version of code being validated, and the routing configuration. This flexibility enables the system to adapt to different validation scenarios without requiring fundamentally different architectural components.
3Measurement precision
If all traffic is routed through new code for validation, then comprehensive validation is achieved, but harmful factors increase
Solution Approach 1:
The patent implements partial routing of traffic through pipeline instances for validation. Instead of routing all customer traffic through new code versions, only a controlled portion is directed to validation pipelines, while the majority continues through stable production code. This partial action achieves sufficient validation completeness while minimizing harmful impacts on customers.
Solution Approach 2:
The system prepares cushioning mechanisms in advance by maintaining stable production pipelines running parallel to validation pipelines. If validation issues arise, the system can immediately redirect traffic to the pre-prepared stable pipelines, cushioning the impact on customers before problems propagate.
Data Source
AI summary
Systems and methods for deploying independent pipelines in a cloud-based system include providing a service to a plurality of customers via a cloud-based system, wherein the service is adapted to receive requests and provide an output to perform a function for the plurality of customers; deploying one or more Independent Pipelines (IPs), wherein each of the one or more IPs comprises an instance of the service, and wherein the one or more IPs are independent of one another; feeding real production data through the service and each of the one or more IPs; and using an output from one of the service or any of the one or more IPs to perform the function of the service for the plurality of customers.