Serverless Batch Job Management via Cloud Storage Integration
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Solution Overview
Problem
Current systems for data loading and batch job management require third-party scheduling tools and specialized servers, leading to high costs and complexity, with inadequate monitoring and failure remediation mechanisms.
Innovation Solution
A server-less batch processing method that utilizes a cloud storage service and an open-source framework like Pentaho for data transformation, providing a customizable web interface for managing batch jobs and files, with real-time monitoring and error detection, and automatic error remediation through an interactive user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a physical or virtual batch server with third-party scheduling tools is used, then data loading and batch job execution can be performed, but system complexity and costs increase
Solution Approach 1:
The patent extracts the batch job scheduling and monitoring functionality from specialized third-party tools and integrates it directly into the development environment. Developers can create, schedule, and monitor batch jobs using standard development tools without requiring separate scheduling systems, thereby reducing system complexity while maintaining execution reliability
Solution Approach 2:
The patent makes the development environment universal by enabling it to perform multiple functions: code compilation, batch job creation, scheduling, execution, and monitoring. This multi-functional approach eliminates the need for specialized batch servers and scheduling tools, reducing overall system complexity while preserving batch processing capabilities
2Productivity
If specialized servers and third-party tools are deployed, then batch processing capability is ensured, but operational costs increase
Solution Approach 1:
The development environment is enhanced to serve as both a compilation tool and a batch processing system. By making the same infrastructure handle both development and batch execution, the patent eliminates the need for separate specialized servers, thereby maintaining batch processing capability while reducing operational costs
Solution Approach 2:
The patent merges the batch processing functionality with the existing development environment infrastructure. Instead of maintaining separate batch servers and scheduling tools, the system combines these functions into the development platform, reducing resource requirements and operational expenses while preserving productivity
3Adaptability or versatility
If multiple disparate data sources are processed through dozens of steps, then comprehensive data transformation is achieved, but monitoring and maintenance difficulty increases
Solution Approach 1:
The patent implements comprehensive monitoring that provides real-time feedback on batch job execution across multiple data sources and transformation steps. The system tracks job status, data flow, and transformation outcomes, enabling easy monitoring and maintenance despite the complexity of processing data from multiple disparate sources through numerous steps
4Productivity
If current batch processing systems are used, then data loading is performed, but failure detection and remediation capability is insufficient
Solution Approach 1:
The monitoring system provides real-time feedback on batch job execution, detecting failures immediately when they occur. The system tracks each transformation step and data loading operation, enabling rapid failure detection and remediation while maintaining data loading throughput
Solution Approach 2:
The system establishes comprehensive monitoring and error detection mechanisms in advance, before failures occur. By having detection and remediation capabilities pre-configured, the system can immediately respond to failures without interrupting data loading operations, thus maintaining productivity while improving reliability
Data Source
AI summary
The invention relates to implementing an administration and testing tool. An embodiment of the present invention is directed to implementing and using a server-less batch process architecture that provides a customized web interface for managing batch jobs and file archival within a cloud environment.