18120589. OBSERVABILITY DATA RELATIONSHIP GRAPHS simplified abstract (Cisco Technology, Inc.)
Contents
OBSERVABILITY DATA RELATIONSHIP GRAPHS
Organization Name
Inventor(s)
Ashish Kundu of San Jose CA (US)
Ramana Rao V. R. Kompella of Cupertino CA (US)
OBSERVABILITY DATA RELATIONSHIP GRAPHS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18120589 titled 'OBSERVABILITY DATA RELATIONSHIP GRAPHS
The abstract of this patent application describes a process for generating an observability graph for a computer system based on observability data.
- Obtaining observability data for a computer system for a specific time period
- Determining observability entities from the data
- Converting observability entities into contextual vertices with associated attributes
- Establishing relationships among the vertices based on data correlation
- Selecting a subset of relationships to be edges based on quality
- Generating an observability graph by connecting vertices with edges
Potential Applications: - Monitoring and analyzing the performance of computer systems - Identifying patterns and trends in system behavior - Troubleshooting and diagnosing issues in real-time
Problems Solved: - Lack of comprehensive visualization of system observability data - Difficulty in identifying and understanding relationships within the data
Benefits: - Improved understanding of system performance - Enhanced troubleshooting capabilities - Real-time monitoring and analysis
Commercial Applications: Title: "Real-time System Monitoring and Analysis Technology" This technology can be used in industries such as IT, telecommunications, and data centers for real-time monitoring and analysis of computer systems to optimize performance and identify issues promptly.
Questions about the technology: 1. How does this technology improve system monitoring compared to traditional methods? 2. What are the key advantages of using an observability graph for analyzing computer system data?
Frequently Updated Research: Stay updated on the latest advancements in observability data analysis and system monitoring techniques to enhance the effectiveness of this technology.
Original Abstract Submitted
According to one or more embodiments of the disclosure, an example process herein may comprise: obtaining observability data for a computer system for a given time period; determining observability entities from the observability data; converting the observability entities into contextual vertices having associated vertex attributes; determining relationships among the contextual vertices based on correlation of the observability data; selecting a subset of the relationships to be edges based on a quality of the relationships, the edges having associated edge attributes; and generating an observability graph for the observability data for the computer system for the given time period by connecting the contextual vertices via corresponding edges.
