Automated root-cause analysis for distributed systems using tracing-data

Abstract

The present invention provides a system for identifying root cause of anomalies in execution of an application comprising a plurality of operations. The system comprises a preprocessing module configured to receive the tracing data comprising a plurality of tracing spans each documenting, for a corresponding operation of the application, a plurality of properties and corresponding values; a signal splitting module configured to group the plurality of tracing spans in a plurality of groups such that each of the plurality of groups comprises operations with identical properties and corresponding values; an anomaly detection module configured to determine anomalous operations for each of the plurality of tracing data spans; a scoring module configured to calculate a plurality of anomaly scores each indicating a level of anomaly within each of the plurality of groups; and a root cause identification module configured to analyze the anomaly scores and identify root cause of the detected anomalies according to the analysis.

Description

technical field [0001] The present invention, in some embodiments, relates to identifying root causes of anomalies detected while executing applications, and more particularly, but not limited to, to identifying root causes of anomalies detected while executing applications jointly executed by multiple computing nodes of a distributed system. because. Background technique [0002] Software programs and products are constantly evolving and becoming more complex as they need to provide more functionality, deploy at scale, improve performance, and basically provide more advanced, more comprehensive technical solutions. [0003] One of the most important ways to scale systems and services to meet this high demand is through distributed computing. In distributed computing, software applications may be jointly executed by a distributed system comprising multiple computing nodes, which may be servers, network nodes, etc. in communication with each other. [0004] Provisions, fram...

AI Technical Summary

Problems solved by technology

As software applications grow in complexity, Root Cause Analysis (RCA) to identify root causes naturally becomes more complex and resource-intensive

[0006] For distributed systems where applications can be executed in parallel by multiple computing nodes, the importance and complexity of RCA increases substantially

This is because, while distributed systems are more susceptible to anomalies and failures due to their distributed nature, the distributed and parallel execution of trace and analysis applications greatly increases the difficulty of RCA

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