20240020405. EXTRACTED FIELD GENERATION TO FILTER LOG MESSAGES simplified abstract (VMWARE, INC.)

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EXTRACTED FIELD GENERATION TO FILTER LOG MESSAGES

Organization Name

VMWARE, INC.

Inventor(s)

CHANDRASHEKHAR Jha of Bangalore (IN)

SIDDARTHA LAXMAN Karibhimanvar of Bangalore (IN)

YASH Bhatnagar of Bangalore (IN)

EXTRACTED FIELD GENERATION TO FILTER LOG MESSAGES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240020405 titled 'EXTRACTED FIELD GENERATION TO FILTER LOG MESSAGES

Simplified Explanation

The abstract of this patent application describes a method for extracting and filtering log messages using regular expressions and grok patterns. Here is a simplified explanation of the abstract:

  • The method involves displaying a plurality of log messages, including a first log message.
  • The method receives an indication to extract a field based on a specified portion of the log text of the first log message.
  • A first regular expression for the specified portion of the first log message is inferred using a grok pattern.
  • A second regular expression for the context of the extracted field is inferred using the grok pattern, based on the specified portion.
  • A definition of the extracted field is generated, which includes the first regular expression and the second regular expression.
  • The plurality of log messages is filtered based on the definition of the extracted field.

Potential applications of this technology:

  • Log analysis and monitoring: The method can be used to extract specific fields from log messages, allowing for easier analysis and monitoring of system logs.
  • Troubleshooting and debugging: By filtering log messages based on specific fields, this method can help identify and resolve issues more efficiently.

Problems solved by this technology:

  • Manual extraction of fields: The method automates the extraction of fields from log messages, eliminating the need for manual parsing and reducing human error.
  • Information overload: Filtering log messages based on specific fields helps reduce the amount of irrelevant information, allowing users to focus on relevant data.

Benefits of this technology:

  • Improved efficiency: By automating the extraction and filtering of log messages, this method saves time and effort in log analysis and troubleshooting processes.
  • Enhanced accuracy: The use of regular expressions and grok patterns ensures accurate extraction of fields, minimizing errors in data interpretation.


Original Abstract Submitted

an example method may include displaying the plurality of log messages, including a first log message. further, the method may include receiving an indication to extract a field based on a specified portion of log text of the first log message. furthermore, the method may include inferring a first regular expression for the specified portion of the first log message using a grok pattern. further, the method may include inferring a second regular expression for a context of the extracted field using the grok pattern. the context may be determined based on the specified portion. further, the method may include generating a definition of the extracted field having the first regular expression and the second regular expression. furthermore, the method may include filtering the plurality of log messages based on the definition of the extracted field.

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