Hybrid Cloud Data Delivery Validation via Manifest Files
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Solution Overview
Problem
Current systems face challenges in reliably delivering and validating data from on-premise systems to cloud environments, particularly in hybrid cloud setups, where data completeness and timely processing are critical for analytics and operations, but existing solutions lack comprehensive monitoring and automation for content delivery and validation.
Innovation Solution
A method and system that utilize a file system with unique folders for content types, monitored by a file system server to detect manifest files, ensuring all files in a package have arrived, analyzing their validity, and initiating processing through a content package registry, which automates the execution of base jobs and notifies subscribers, while providing comprehensive logging and anomaly detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If comprehensive monitoring and validation mechanisms are implemented for data delivery in hybrid cloud environments, then data completeness and reliability are improved, but system complexity increases
Solution Approach 1:
The manifest file is generated in advance by the source system, containing the complete list of files that should be transferred. This preliminary action enables the destination system to validate data completeness before processing, improving reliability without requiring complex real-time monitoring during transfer.
Solution Approach 2:
The manifest file serves as an intermediary element between the source and destination systems. It carries metadata about the data package contents, allowing the destination system to verify completeness without direct complex communication with the source system, thus reducing overall system complexity.
2Reliability
If manifest file validation is performed to ensure all files have arrived, then data completeness is improved, but processing time increases
Solution Approach 1:
The manifest file is prepared in advance with all necessary file information. This allows the validation process to simply compare the manifest contents with received files rather than performing complex analysis, reducing validation time while maintaining completeness assurance.
Solution Approach 2:
The patent replaces complex mechanical file-by-file verification with a simpler information-based validation approach using the manifest file. The system validates data completeness by comparing metadata in the manifest rather than physically examining each file, significantly reducing processing time.
3Productivity
If automated processing is initiated upon manifest file detection, then productivity is improved, but system complexity increases
Solution Approach 1:
The destination system automatically detects the manifest file and initiates processing without requiring external triggers or complex orchestration. The system serves itself by using the presence of the manifest file as both the trigger and the validation mechanism, improving productivity while keeping automation complexity manageable.
Solution Approach 2:
The manifest file serves multiple functions: it acts as a transfer indicator, a validation reference, and a processing trigger. This multi-functionality eliminates the need for separate mechanisms for each purpose, improving productivity without proportionally increasing system complexity.
4Reliability
If file system monitoring is implemented to detect manifest files, then data delivery reliability is improved, but resource consumption increases
Solution Approach 1:
The patent replaces continuous active monitoring with event-driven detection. The file system monitor only needs to detect the presence of the manifest file rather than continuously analyzing data streams, significantly reducing computational resource consumption while maintaining delivery reliability.
Solution Approach 2:
The monitoring system extracts only the critical manifest file from the data stream for detection, rather than monitoring all files equally. This selective approach reduces resource consumption by focusing computational effort only on the key indicator of complete data arrival.
Data Source
AI summary
Data content delivery and validation in a computer environment may provide a file system in the computer environment, the file system subdivided into unique folder locations per content type, each of the unique folder locations representing a content type folder. The file system is monitored for changes to a content type folder. An occurrence of a manifest file in the content type folder may be detected, the occurrence of the manifest file ensuring that all files in a package of files associated with the manifest file have arrived. Content of the manifest file may be analyzed to check validity of the files. A content package registry may be queried to determine a base job for processing a given content type associated with the package of files, and the base job may be run to process the package of files.