Live Rule Deployment with Automated Package Manager
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Solution Overview
Problem
Traditional rule deployment systems require significant time and manual intervention, making it difficult for rule writers to author and test new rules due to the lengthy process of populating data tables or databases, which can delay the deployment of rules necessary for fraud detection and network security.
Innovation Solution
A method and system for live rule deployment with a deployment log, allowing rule writers to initiate rule package updates without developer assistance, where a rules package manager automatically updates the rules engine with new packages, tracked for auditing and roll-back purposes, using a configuration service to identify and retrieve the latest rules package.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If developers manually populate data tables or databases before rule writers can author rules, then data accessibility for rule authoring is improved, but deployment time and complexity increase significantly
Solution Approach 1:
The system pre-populates data tables or databases with test data before rule writers need to author rules. This preliminary preparation eliminates the waiting period that previously existed, allowing rule writers to immediately access data and begin authoring rules without being blocked by development cycles.
Solution Approach 2:
A deployment server acts as an intermediary between the development environment and the rules engine. The deployment server receives rule packages from developers, automatically deploys them to the rules engine, and manages the data population process. This intermediary automates the previously manual process, reducing both time and complexity while maintaining data accessibility for rule writers.
2Reliability
If developers and engineers manually compile and deploy rules to servers, then deployment control and tracking are improved, but deployment complexity and manual intervention requirements increase
Solution Approach 1:
The deployment server provides self-service functionality by automatically receiving rule packages from developers and deploying them to the rules engine without requiring manual intervention from developers or engineers. The system autonomously manages the deployment process, including package validation, transmission, and installation, while maintaining deployment logs for tracking and control.
Solution Approach 2:
The system implements feedback mechanisms through deployment logs that record each deployment event, including timestamps, package identifiers, and deployment status. This automated feedback loop provides reliable tracking and control of deployments without adding manual steps, allowing the system to monitor and manage the deployment process automatically.
3Manufacturing precision
If rule deployment requires sequential manual steps involving multiple personnel, then deployment accuracy and verification are improved, but productivity and response time decrease
Solution Approach 1:
The system replaces the mechanical process of manual rule deployment with an automated electronic system. The deployment server automatically transmits rule packages from the development environment to the rules engine, eliminating the need for manual copying, pasting, or configuration steps. This substitution maintains deployment accuracy through automated validation while dramatically increasing rule update speed and productivity.
4Reliability
If developers populate data tables during development cycles, then data quality and completeness for rule testing are improved, but time to market for new rules increases
Solution Approach 1:
The system performs preliminary data population during the development cycle, preparing high-quality test data in advance. This allows rule writers to immediately begin authoring and testing rules with complete, accurate data without waiting for the traditional development cycle to conclude, thereby reducing time to market while maintaining data quality.
Data Source
AI summary
The invention relates to a method for live rule deployment with a deployment log. The method includes executing rules of a first rules package in response to one or more requests from applications. Also, the method includes receiving an identifier. The identifier is received from a configuration service, and the identifier identifies a location from which a latest rules package can be obtained. The method further includes determining, using the identifier, that a new rules package is available for deployment. Still yet, the method includes, in response to determining that the new rules package is available, requesting, using the location, a second rules package from a rules package manager. Further, the method includes receiving the second rules package from the rules package manager, and replacing the first rules package with the second rules package by deploying the second rules package.