Centralized Multi-Instance Deployment Consolidation
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Solution Overview
Problem
Current data management systems lack a centralized hub to automate search queries and consolidate results across multiple data intake and query system instances, leading to isolated views of search query results, which hinders network administrators' ability to gain a comprehensive understanding of ingested data.
Innovation Solution
A centralized multi-instance deployment control system that establishes communicative coupling with data intake and query system instances, automates search queries, consolidates results, and provides role-based access control for unified graphical user interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple data intake and query system instances are deployed to handle large volumes of diverse data, then data ingestion capacity and processing flexibility are improved, but the complexity of managing and consolidating search query results across instances increases
Solution Approach 1:
The patent implements a centralized control system that merges and consolidates search query results from multiple distributed data intake and query system instances into a unified view. This allows the system to maintain high data ingestion capacity through multiple instances while simplifying result management through centralization.
Solution Approach 2:
The centralized control system acts as an intermediary between the distributed query instances and the user interface. It receives results from multiple instances, consolidates them, and presents a unified view, thereby reducing the complexity of managing distributed results without sacrificing ingestion capacity.
2Adaptability or versatility
If search queries are performed manually at each data intake and query system instance, then query flexibility and instance-specific customization are improved, but time consumption and operational efficiency deteriorate
Solution Approach 1:
The system enables self-service query execution where the centralized control system automatically distributes and collects results from multiple instances without requiring manual intervention at each instance. This maintains query flexibility while significantly reducing time consumption through automation.
Solution Approach 2:
The centralized control system performs preliminary actions by pre-configuring query parameters and automatically managing the query execution across instances. This allows instance-specific customization to be maintained while reducing manual time investment through advance preparation and automation.
3Reliability
If search query results are viewed separately at each instance in a silo manner, then instance independence and data security are improved, but the ability to gain comprehensive insights and understand complete data views deteriorates
Solution Approach 1:
The system merges results from multiple independent instances into a unified comprehensive view while preserving instance independence through the centralized control architecture. This allows data security and independence to be maintained while providing complete data insights through consolidation.
Data Source
AI summary
A computerized method is disclosed including establishing communicative couplings with each of a first data intake and query system instance and a second data intake and query system instance, automating execution of a first search query on the first data intake and query system instance and a second search query on the second data intake and query system instance, and causing rendering of a graphical user interface that consolidates results from each of the first data intake and query system instance and the second data intake and query system instance. Additional operations may include obtaining a result of the first search query while preserving fields within the results of the first and second search queries extracted by the first data intake and query system instance and the second data intake and query system instance, respectively.