Alert Summary Aggregation for Search Query Data Analysis
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Solution Overview
Problem
Modern data centers face challenges in processing and presenting large volumes of machine-generated data due to its unstructured nature, making it difficult to apply semantic meaning and perform efficient indexing and searching operations.
Innovation Solution
A data aggregation and analysis system that performs real-time indexing and executes searches, using a late-binding schema to extract values from data items, and provides an alerting mechanism to trigger actions based on defined conditions, with the ability to present alert summaries rather than individual instances, allowing users to drill down into underlying data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If individual alert instances are presented to users, then complete information is provided, but user attention is分散 and critical alerts are difficult to identify
Solution Approach 1:
The patent extracts the essential information from individual alert instances by creating consolidated alert summaries that aggregate multiple instances. These summaries present key information at a higher level while allowing users to access detailed individual instances when needed, thus extracting only the most critical information for initial review.
Solution Approach 2:
The patent merges multiple individual alert instances into consolidated alert summaries that group related alerts together. This combining approach allows users to view multiple alert instances as a unified overview, improving efficiency by reducing the number of separate items users must evaluate individually while preserving access to complete information.
2Ease of operation
If alert summaries are presented to users, then alert identification efficiency is improved, but detailed information about individual instances becomes less accessible
Solution Approach 1:
The patent implements a nested structure where alert summaries contain aggregated information at one level, and individual alert instances are nested within or accessible from these summaries. Users first encounter the outer summary level for quick assessment, then can drill down into the inner individual instance details when needed, creating a multi-level information hierarchy.
Solution Approach 2:
The patent performs preliminary aggregation of alert instances into summaries before user review, preparing consolidated information in advance. This preliminary action allows users to immediately see the most critical aggregated information without having to process individual instances separately, improving initial alert identification efficiency while maintaining access to details.
3Loss of information
If all alert instances are displayed, then complete data is available, but processing and presentation time increases
Solution Approach 1:
The patent extracts essential characteristics from multiple alert instances to create condensed summaries that represent the core information. By taking out only the most relevant aggregated data for initial display, the system reduces processing and presentation time while maintaining data completeness through accessible individual instances.
Solution Approach 2:
The patent implements partial action by initially presenting only aggregated alert summaries rather than all individual instances. This partial presentation approach reduces immediate processing and display time requirements, allowing the system to handle large volumes of alerts efficiently while preserving the ability to access complete detailed information when users need it.
Data Source
AI summary
Systems and methods for presenting and sorting summaries of alerts triggered by search queries in data aggregation and analysis systems. An example method may comprise: causing, by one or more processing devices, one or more alert summaries to be displayed, each alert summary corresponding to an alert and representing one or more instances of the alert, the alert defined by a search query and a triggering condition; wherein an instance of the alert corresponds to a particular dataset that (i) is generated by executing the search query over time-series data falling within a particular time range in a set of time ranges over which the search query has been instructed to search, and (ii) satisfies the triggering condition for the alert; wherein an alert summary includes an indication of at least one of: a total count of alert instances generated by the alert, or a count of alert instances generated by the alert that have not been viewed by a user.