Sumo Logic. has been granted a patent for a method that enhances machine data by associating it with tags from virtual machine instances. The system retrieves log messages and time series data, organizes them by time intervals, and presents this information through a user interface, allowing for detailed analysis and visualization. GlobalData’s report on Sumo Logic gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Sumo Logic, Network threat detection was a key innovation area identified from patents. Sumo Logic's grant share as of June 2024 was 71%. Grant share is based on the ratio of number of grants to total number of patents.

Data enrichment and visualization for machine log messages

Source: United States Patent and Trademark Office (USPTO). Credit: Sumo Logic Inc

The granted patent US12045229B2 outlines a computer-implemented method and system for presenting information related to log messages and time series data from monitored devices through a user interface (UI). The method involves several steps, including the selection of a time series by the user, retrieval of associated metadata and log messages, and the organization of these log messages into time-based buckets. Each bucket is analyzed to determine a count of log messages and an intensity classification, which is then displayed in the UI alongside the selected time series. The UI also allows for overlaying additional information and intensity plots, enhancing the user's ability to analyze the data effectively.

Further enhancements to the UI include options for users to hover over graphical representations to view log messages, select multiple time series, and enter additional metadata or search terms for more refined queries. The system is designed to facilitate a comprehensive analysis of log messages, including details such as metric names and values, and provides a structured approach to visualizing and interacting with time series data. The patent also describes a non-transitory machine-readable storage medium that contains instructions for executing these operations, ensuring that the method can be implemented in various computing environments.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.