18112309. Analyzing Logs for Root Causes of Errors in a Cloud Environment simplified abstract (PURE STORAGE, INC.)
Contents
Analyzing Logs for Root Causes of Errors in a Cloud Environment
Organization Name
Inventor(s)
Naveen Revanna of Campbell CA (US)
Neelesh Madhukar Thakur of San Jose CA (US)
Priyanshu Pandey of San Jose CA (US)
[[:Category:Luis Pablo Pab�n of Sturbridge MA (US)|Luis Pablo Pab�n of Sturbridge MA (US)]][[Category:Luis Pablo Pab�n of Sturbridge MA (US)]]
Prabir Paul of San Jose CA (US)
Analyzing Logs for Root Causes of Errors in a Cloud Environment - A simplified explanation of the abstract
This abstract first appeared for US patent application 18112309 titled 'Analyzing Logs for Root Causes of Errors in a Cloud Environment
The abstract of this patent application describes a method for analyzing logs in a cloud environment to identify root causes of errors.
- Detecting errors in components within a cloud environment
- Providing log data to a machine learning model for root cause analysis
- Determining corrective measures based on the machine learning model output
- Performing remedial actions to address the errors
Potential Applications: - Cloud computing - Error detection and analysis in software systems - Machine learning in root cause analysis
Problems Solved: - Identifying and addressing errors in a cloud environment - Improving system reliability and performance - Streamlining error resolution processes
Benefits: - Faster error detection and resolution - Enhanced system performance and reliability - Optimized cloud environment management
Commercial Applications: Title: "Cloud Error Analysis and Resolution System" This technology can be used by cloud service providers, software companies, and IT departments to improve the efficiency and reliability of their systems. It can also be integrated into monitoring and management tools for cloud environments.
Questions about Cloud Error Analysis and Resolution System: 1. How does this technology improve error resolution in cloud environments? This technology utilizes machine learning to analyze log data and determine corrective measures, leading to faster and more accurate error resolution.
2. What are the potential benefits of implementing this system in a cloud environment? Implementing this system can result in improved system performance, reduced downtime, and enhanced overall reliability of cloud services.
Original Abstract Submitted
An example method for analyzing logs for root causes of errors in a cloud environment comprises: detecting an error in a component deployed within a cloud environment; providing, based on the detecting the error, log data associated with the component to a root cause analysis machine learning model; determining, based on an output of the machine learning model, a corrective measure configured to address the error; and performing a remedial action associated with the corrective measure.
