Automated Database Discovery via Backup Agent
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Solution Overview
Problem
Manual detection and registration of databases in backup systems are error-prone and inefficient, especially in large and complex data management environments where rapid data growth and complexity require reliable backup and fast recovery solutions.
Innovation Solution
A networked computing system with a backup node cluster communicates with a host database node cluster to automatically discover undiscovered databases through a backup agent, registering and triggering a discovery process to receive metadata and communicate with the discovered databases, thereby minimizing manual intervention and errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual detection and registration of databases is performed, then the backup system can identify and protect databases, but the process becomes error-prone and inefficient
Solution Approach 1:
The database management system performs self-detection and self-registration of databases. The backup agent automatically discovers databases on the host system and registers them with the backup service without requiring manual intervention, thereby improving both reliability and efficiency simultaneously
Solution Approach 2:
A backup agent serves as an intermediary component between the host system and the backup service. The agent facilitates automatic database discovery and registration by communicating with both the host database nodes and the backup node cluster, eliminating manual operations while ensuring accurate detection
2Quantity of substance
If the volume and complexity of data increases, then more data can be managed and stored, but data management and storage become increasingly complex
Solution Approach 1:
The backup agent acts as an intermediary that simplifies data management complexity by automatically handling database discovery, metadata collection, and registration processes. This intermediary layer manages the complexity internally while presenting a simplified interface to users
Solution Approach 2:
The system segments data management functions into distinct components: the backup agent for discovery and metadata collection, the backup service for coordination, and the backup node cluster for execution. This segmentation distributes complexity across multiple specialized components rather than concentrating it in a single system
3Productivity
If automated database discovery is implemented, then registration efficiency improves, but system complexity increases due to additional components
Solution Approach 1:
The backup agent is designed as a multi-functional component that performs database discovery, metadata collection, and registration operations simultaneously. This universal component handles multiple tasks that would otherwise require separate systems, improving productivity while minimizing the increase in system complexity
Data Source
AI summary
In some examples, a networked computing system comprises a backup node cluster of a backup service in communication with a host database node cluster of a host, a host database at least initially undiscovered by the backup node cluster, one or more processors coupled with memory storing instructions that, when executed, perform operations comprising at least installing a backup agent on at least one node of the host database node cluster, registering the host at the backup service, based on the host registration, triggering a host database discovery process to discover the undiscovered database automatically, the discovery process including a discovery call, in response to the discovery call, receiving metadata relating to the discovered database, and communicating with the discovered database.