US Patent Application 17829269. SYSTEM AND METHODS FOR ASYNCHRONOUS LOG PROCESSING AND ENRICHING simplified abstract

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SYSTEM AND METHODS FOR ASYNCHRONOUS LOG PROCESSING AND ENRICHING

Organization Name

Oracle International Corporation

Inventor(s)

Jerry Paul Russell of Seattle WA (US)

Santhosh Kumar Vuda of Bangalore (IN)

Kiran Kumar Palukuri of Bangalore (IN)

Naga Raju Barri of Hyderabad (IN)

SYSTEM AND METHODS FOR ASYNCHRONOUS LOG PROCESSING AND ENRICHING - A simplified explanation of the abstract

This abstract first appeared for US patent application 17829269 titled 'SYSTEM AND METHODS FOR ASYNCHRONOUS LOG PROCESSING AND ENRICHING

Simplified Explanation

This patent application describes a method for processing log data to identify and correct errors in a configuration. Here are the key points:

  • The method involves processing log data that contains multiple log records.
  • The configuration of each log record and the data within it are validated.
  • Errors are identified in a subset of log records.
  • Enriched log records are generated by adding error information to each log record in the subset.
  • A user interface is created to help correct the errors.
  • The user interface includes interactive elements for different categories of errors.


Original Abstract Submitted

Log data that includes a plurality of log records is asynchronously processed to validate a configuration of each log record and data included in each log record. It is determined that one or more attributes of a particular subset of log records of the plurality of log records corresponds to one or more errors. Using the particular subset, one or more enriched log records are generated by augmenting each log record of the particular subset of log records with error information that indicates one or more categories corresponding to the one or more errors. A user interface is generated to facilitate correction of the one or more errors, the user interface comprising a plurality of interactive elements corresponding to a plurality of error metrics of different categories of errors, wherein the one or more categories of the one or more errors are included in the different categories of errors.

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