Automated Data Protection System with Task Executor
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Solution Overview
Problem
In large-scale computer systems, data protection is inefficient due to the lack of automation in detecting changes and configuring protection, leading to unprotected data and resources, especially when changes occur at a logical level without notification to the responsible personnel.
Innovation Solution
A data protection system that automates the protection of data by creating jobs with tasks to manage protection, includes a task executor to monitor and recover from failures, and a health manager to create makeup jobs for incomplete tasks, ensuring robust data protection and user guidance in a logical namespace.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual identification and configuration of data protection is used, then individual control over protection settings is maintained, but the system complexity increases and changes are difficult to track
Solution Approach 1:
The system automatically discovers changes in the data environment, identifies affected data objects, and configures protection settings without requiring manual intervention. The data protection system monitors the data environment, detects changes such as new data objects or modifications to existing ones, and autonomously updates protection configurations to ensure continuous coverage.
Solution Approach 2:
The system continuously monitors the data environment for changes and provides feedback about detected changes to the configuration process. When changes are detected, the system uses this feedback to automatically adjust protection settings, ensuring that protection configurations remain synchronized with the actual data environment structure.
2Adaptability or versatility
If manual configuration of data protection is used, then protection settings can be customized, but protection gaps occur when changes are not detected
Solution Approach 1:
The system performs preliminary discovery of the data environment structure and maintains an updated inventory of data objects before changes occur. When changes are detected, the system already has the baseline information needed to quickly configure protection for new objects or modify existing configurations, ensuring continuous and reliable protection coverage.
3Reliability
If automated protection configuration is implemented, then protection coverage is improved, but the system requires sophisticated change detection mechanisms
Solution Approach 1:
The system introduces an intermediary layer between the data environment and the protection configuration. This intermediary component monitors the data environment for changes, translates detected changes into configuration actions, and manages the overall configuration process. This intermediary abstraction simplifies the complexity of change detection while enabling automated protection configuration.
Data Source
AI summary
A data protection application if provided. The data protection application includes a job for providing protection to data. That job contains a plurality of tasks configured to perform the job. Also included is a task executor for managing the progress of each of the plurality of tasks.