Methods and systems for reporting probable causes of errors in services

Patent metadata

Field	Value
Publication number	US-2026003721-A1
Application number	US-202418790511-A
Country	US
Kind code	A1
Filing date	Jul 31, 2024
Priority date	Jun 28, 2024
Publication date	Jan 1, 2026
Grant date	—

Abstract

Examples described herein relate to a method and a network analyzer configured to report a probable cause of errors in a microservice environment. In some examples, the network analyzer may identify an impacted service that reported an error. Further, the network analyzer identifies one or more upstream services related to the impacted service based on a service dependency between the one or more upstream services and the impacted service. Furthermore, the network analyzer identifies at least one modification in one or more of the impacted service or the one or more upstream services based on respective versions of the impacted service and the one or more upstream services, then reports a set of candidate modifications selected from the at least one modification as probable causes of the error.

First claim

What is claimed is:

1 . A method comprising:
identifying, by a network analyzer, an impacted service reporting an error; identifying, by the network analyzer, one or more upstream services related to the impacted service based on a service dependency between the one or more upstream services and the impacted service; identifying, by the network analyzer, at least one modification in one or more of the impacted service or the one or more upstream services based on respective versions of the impacted service and the one or more upstream services; and reporting, by the network analyzer, a set of candidate modifications selected from the at least one modification as probable causes of the error.

2 . The method of claim 1 , wherein the at least one modification comprises a code change, a configuration change, a hardware change, an operating environment change, or combinations thereof.

3 . The method of claim 1 , further comprising identifying, by the network analyzer, the error based on service performance data corresponding to a plurality of services.

4 . The method of claim 3 , wherein the service performance data comprises information from one or more of incident logs, error logs, or service health logs.

5 . The method of claim 4 , wherein each entry in one or more of the incident logs, error logs, or device health logs comprises a unique identifier associated with a service relating to the entry, and wherein identifying the impacted service comprises identifying the unique identifier corresponding to impacted service reporting the error based on one more of the incident logs, error logs, or device health logs.

6 . The method of claim 1 , further comprising selecting, by the network analyzer, one or more candidate modifications from the at least one modification based on a timestamp associated with the at least one modification.

7 . The method of claim 6 , further comprising:
assigning, by the network analyzer, a weight to each relationship link between the impacted service and the one or more upstream services related to the impacted service; determining, by the network analyzer, a relevancy score for each candidate modification of the set of candidate modifications based on the weights assigned to the one or more relationship links; and rank-ordering, by the network analyzer, the set of candidate modifications based on the relevancy score for each candidate modification.

8 . The method of claim 7 , wherein the relevancy score for a given candidate modification is determined as a product of the weights of each relationship link between the impacted service and a service in which the given candidate modification is made.

9 . A network analyzer comprising:
a non-transitory machine-readable storage medium storing instructions; and a processing resource coupled to the non-transitory machine-readable storage medium and configured to execute one or more of the instructions to:
identify an impacted service reporting an error;
identify one or more upstream services related to the impacted service based on a service dependency between the one or more upstream services and the impacted service;
identify at least one modification in one or more of the impacted service or the one or more upstream services based on respective versions of the impacted service and the one or more upstream services; and
report a set of candidate modifications selected from the at least one modification as probable causes of the error.

10 . The network analyzer of claim 9 , wherein the processing resource is configured to execute one or more of the instructions to identify the error based on service performance data corresponding to a plurality of services hosted on a cloud platform.

11 . The network analyzer of claim 10 , wherein the service performance data comprises information from one or more of incident logs, error logs, or device health logs, wherein each entry in one or more of the incident logs, error logs, or device health logs comprises a unique identifier associated with a service relating to the entry, and wherein identifying the impacted service comprises identifying the unique identifier corresponding to impacted service based on one more of the incident logs, error logs, or device health logs.

12 . The network analyzer of claim 9 , wherein non-transitory machine-readable storage medium is configured to store a service dependency database comprising information representing relationships between a plurality of services, and wherein the processing resource is configured to execute one or more of the instructions to determine the one or more upstream services based on the relationships between a plurality of services stored in the service dependency database.

13 . The network analyzer of claim 9 , wherein the processing resource is configured to execute one or more of the instructions to select one or more candidate modifications from the at least one modification based on a timestamp associated with the at least one modification.

14 . The network analyzer of claim 13 , wherein the processing resource is configured to execute one or more of the instructions to:
assign a weight to each relationship link between the impacted service and the one or more upstream services related to the impacted service; determine a relevancy score for each candidate modification of the set of candidate modifications based on the weights assigned to the one or more relationship links; and rank-order the set of candidate modifications based on the relevancy score for each candidate modification.

15 . The network analyzer of claim 14 , wherein a value of the weight is in a range from 0 (zero) to 1 (one).

16 . A non-transitory machine-readable storage medium comprising instructions executed by a processing resource, wherein the instructions comprise:
instructions to identify an impacted service reporting an error; instructions to identify one or more upstream services related to the impacted service based on a service dependency between the one or more upstream services and the impacted service; instructions to identify at least one modification in one or more of the impacted service or the one or more upstream services based on respective versions of the impacted service and the one or more upstream services; and instructions to report a set of candidate modifications selected from the at least one modification as probable causes of the error.

17 . The non-transitory machine-readable storage medium of claim 16 , wherein the instructions further comprise instructions to select the set of candidate modifications from the at least one modification based on a timestamp associated with the at least one modification.

18 . The non-transitory machine-readable storage medium of claim 16 , wherein the instructions further comprise instructions to:
assign a weight to each relationship link between the impacted service and the one or more upstream services related to the impacted service; and determine a relevancy score for each candidate modification of the set of candidate modifications based on the weights assigned to the one or more relationship links.

19 . The non-transitory machine-readable storage medium of claim 18 , wherein the instructions further comprise instructions to determine the relevancy score for a given candidate modification by calculating a product of the weights of each relationship link between the impacted service and a service in which the given candidate modification is made.

20 . The n

Assignees

• Hewlett Packard Entpr Dev Lp

Inventors

• Sakthivel Thavamani Raja
• Brebner Gavin
• Kumar Neeraj

Classifications

• G06F11/0709

  in a distributed system consisting of a plurality of standalone computer nodes, e.g. clusters, client-server systems · CPC title

• G06F11/079 Primary

  Root cause analysis, i.e. error or fault diagnosis (in a hardware test environment G06F11/22; in a software test environment G06F11/36) · CPC title