Centralized Control System for Distributed Data Query Instances
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Solution Overview
Problem
Current data intake and query systems lack a centralized hub to automate search queries, consolidate results, and provide a unified view across multiple instances, leading to isolated analysis and management of search query results in distributed environments.
Innovation Solution
A centralized multi-instance deployment control system that automates the monitoring of configuration parameter changes in primary data intake and query systems, generates instructions for updating secondary instances, and consolidates search query results across multiple instances, enabling role-based access and unified visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple data intake and query system instances are deployed in distributed environments, then data processing capacity and coverage are improved, but configuration management complexity and operational overhead increase
Solution Approach 1:
A centralized control system is introduced as an intermediary between administrators and multiple data intake and query system instances. This control system automatically monitors configuration parameter changes across all instances and propagates updates, eliminating the need for manual configuration management at each instance while maintaining distributed processing capacity.
Solution Approach 2:
The system enables self-service configuration management where changes to configuration parameters in one instance are automatically detected and propagated to other instances. The system monitors itself and maintains consistency across distributed instances without requiring continuous human intervention, reducing operational overhead while scaling processing capacity.
2Ease of operation
If search queries are performed manually at each data intake and query system instance, then query execution is simple, but result consolidation and unified analysis become difficult
Solution Approach 1:
The centralized control system merges search query results from multiple distributed instances into a unified view. Administrators can execute search queries once at the centralized level, and the system automatically consolidates results from all instances, providing comprehensive analysis while maintaining simple query execution syntax.
Solution Approach 2:
The centralized control system serves multiple functions: it monitors configuration changes, propagates updates across instances, executes search queries, consolidates results, and provides unified analysis. This multi-functional approach eliminates the need for separate manual processes at each instance while maintaining operational simplicity.
3Adaptability or versatility
If configuration parameters are updated manually at each instance, then system flexibility is maintained, but consistency across distributed instances deteriorates
Solution Approach 1:
The centralized control system continuously monitors configuration parameter changes across all instances and provides feedback loops to maintain consistency. When a configuration change is detected in one instance, the system automatically propagates the update to other instances, ensuring configuration consistency while allowing flexible parameter management.
Solution Approach 2:
The system prepares and propagates configuration updates in advance across all instances before changes take effect. By monitoring and preparing configuration changes centrally, the system ensures that all instances are updated consistently, maintaining configuration stability while preserving system flexibility for adaptive parameter management.
Data Source
AI summary
Implementations of this disclosure provide for automated monitoring of configuration parameters of a primary data intake and query system instance operating within a distributed deployment environment. Further implementations provide for automatically generating instructions in response to a detected change in a configuration parameter of the primary data intake and query system instance and transmitting those instructions to one or more secondary data intake and query system instances. The instructions, upon execution by one or more processors, cause the configuration parameters of the one or more secondary data intake and query system instances to be updated in accordance with the detected change in the configuration parameter of the primary data intake and query system instance.