Dell products l.p. (20240345904). Automated Error Resolution in a Software Deployment Pipeline simplified abstract
Contents
Automated Error Resolution in a Software Deployment Pipeline
Organization Name
Inventor(s)
Polu Ram Charan Teja of Hyderabad (IN)
Pratyush Paliwal of Deogarh (IN)
Automated Error Resolution in a Software Deployment Pipeline - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240345904 titled 'Automated Error Resolution in a Software Deployment Pipeline
The abstract describes techniques for automated resolution of pipeline errors in a software deployment pipeline. The method involves obtaining information about errors, using natural language processing to identify error resolution scripts, and initiating execution of processing steps to address the errors.
- Information characterizing errors in a pipeline job is obtained by parsing error information in a job log.
- A database records historical errors and corresponding error resolution scripts.
- The natural language processing model utilizes the error database to identify error resolution scripts for pipeline jobs.
Potential Applications: - Streamlining software deployment processes - Improving efficiency in resolving pipeline errors
Problems Solved: - Reducing manual intervention in error resolution - Enhancing the speed of software deployment pipelines
Benefits: - Increased automation in error resolution - Faster turnaround time for pipeline jobs
Commercial Applications: Automated error resolution technology can be utilized by software development companies to optimize their deployment pipelines, leading to faster software releases and improved overall efficiency in the development process.
Questions about Automated Resolution of Pipeline Errors: 1. How does natural language processing help in identifying error resolution scripts? Natural language processing is used to analyze error information and match it with historical data in the error database to identify the appropriate resolution script.
2. What are the key benefits of automating error resolution in software deployment pipelines? Automating error resolution reduces manual effort, speeds up the deployment process, and improves overall efficiency in software development.
Original Abstract Submitted
techniques are provided for automated resolution of one or more pipeline errors. one method comprises obtaining information characterizing errors in a pipeline job of a software deployment pipeline; processing at least a portion of the information using a natural language processing model to identify an error resolution script that automatically addresses the errors in the pipeline job; and automatically initiating an execution of processing steps associated with the identified error resolution script to address the errors in the pipeline job. the information characterizing the errors in the pipeline job may be obtained by parsing error information in a job log. an error database may record a description of historical errors and a corresponding error resolution script. the natural language processing model may utilize information in the error database to identify an error resolution script that addresses a given error in a pipeline job.
