Automatic microservice problem detection in enterprise applications

• US 10,411,973 B2
• Filed: 03/20/2017
• Issued: 09/10/2019
• Est. Priority Date: 03/20/2017
• Status: Active Grant

• Current Assignee: Red Hat, Inc. (International Business Machines Corporation)
• Original Assignee: Red Hat, Inc. (International Business Machines Corporation)
• Inventors: Brown, Gary Peter, Kroehling, Juraci Paixao
• Primary Examiner(s): Barot, Bharat
• Application Number:
  US15/463,596
• Publication Number:
  US 20180270122A1
• Time in Patent Office: 904 Days
• Field of Search: 709202-203, 709223-226
• CPC Class Codes: H04L 41/5032 Generating service level reports
• CPC Class Codes: H04L 41/5045 Making service definitions prior to deployment
• CPC Class Codes: H04L 43/091 Measuring contribution of individual network components to actual service level
• CPC Class Codes: H04L 67/30 Profiles
• CPC Class Codes: H04L 69/40 for recovering from a failure of a protocol instance or entity, e.g. service redundancy protocols, protocol state redundancy or protocol service redirection management of faults, events, alarms or notifications in data switching networks H04L41/06

Abstract

A server system includes a memory, a processor in communication with the memory, and a server managing a plurality of cooperating microservices. The server executes on the at least one processor to capture tracing information reported during invocation of a set of cooperating microservices. The tracing information includes a service name and version information associated with at least one microservice of the set of cooperating microservices. Additionally, the server builds an application deployment profile from the service name and version information, compares the application deployment profile to an existing profile, and classifies the application deployment profile as a previously existing profile, a subset profile, an extension profile, and/or an updated profile. The server tracks performance data associated with the application deployment profile.

Claims

1. A system comprising:

a memory;

at least one processor in communication with the memory; and

at least one server managing a plurality of cooperating microservices, wherein the at least one server executes on the at least one processor to;

capture tracing information reported by a microservice of a set of cooperating microservices during invocation of the set of cooperating microservices, wherein the tracing information includes a service name and version information associated with at least one microservice of the set of cooperating microservices;

build an application deployment profile from the service name and version information;

compare the application deployment profile to an existing application deployment profile;

classify the application deployment profile as at least one of a previously existing profile, a subset profile, an extension profile, and an updated profile; and

track performance data associated with the application deployment profile.

2. The system of claim 1, wherein the version information and service name is combined to form a version tuple.

3. The system of claim 1, wherein the performance data includes at least one of system metrics, business metrics, faults, and an out of band rating.

4. The system of claim 1, wherein the application deployment profile is distinguished by at least one of an endpoint, a service, a collection of endpoints, and a collection of services.

5. A method comprising:

capturing, by a server, tracing information reported by a microservice of a set of cooperating microservices during invocation of the set of cooperating microservices, wherein the tracing information includes a service name and version information associated with at least one microservice of the set of cooperating microservices;

building, by the server, an application deployment profile from the service name and version information;

comparing, by the server, the application deployment profile to an existing application deployment profile;

classifying, by the server, the application deployment profile as at least one of a previously existing profile, a subset profile, an extension profile, and an updated profile; and

tracking, by the server, performance data associated with the application deployment profile.

6. The method of claim 5, wherein the application deployment profile is distinguished by at least one of an endpoint, a service, a collection of endpoints, and a collection of services.

7. The method of claim 5, wherein classifying the application deployment profile includes determining, by the server, a first status of the application deployment profile as one of related to the existing profile and unrelated to the existing profile.

8. The method of claim 7, wherein responsive to determining the first status as unrelated to the existing profile, the server stores the application deployment profile as a new profile.

9. The method of claim 7, wherein responsive to determining the first status as unrelated to the existing profile, the server sends a notification that the deployment profile is not a pre-built existing profile.

10. The method of claim 7, wherein classifying the application deployment profile further includes determining, by the server, a second status of the application deployment profile as one of including each matching microservice and at least one mismatching microservice as the existing application deployment profile, including only matching microservices, but less microservices than the existing application deployment profile, and completely matching the existing application deployment profile, wherein

responsive to determining the second status as including each matching microservice and at least one mismatching microservice as the existing application deployment profile, the server updates the existing application deployment profile to include an extension profile with the version information included in the application deployment profile,

responsive to determining the second status as including only matching microservices, but less microservices than the existing application deployment profile, the server classifies the application deployment profile as a subset of the existing application deployment profile, and

responsive to determining the second status as completely matching the existing application deployment profile, the server classifies the application deployment profile as the existing application deployment profile.

11. The method of claim 10, wherein classifying the application deployment profile further includes determining, by the server, a third status of the application deployment profile as one of updated from the existing application deployment profile and pre-existing, wherein responsive to determining the third status as updated, the server designates the application deployment profile as an updated profile.

12. The method of claim 11, wherein the updated profile includes a timestamp.

13. The method of claim 5, wherein the tracing information is received by a local agent and then sent to the server.

14. The method of claim 5, wherein the version information and service name is combined to form a version tuple.

15. The method of claim 5, wherein the performance data includes at least one of system metrics, business metrics, faults, and an out of band rating.

16. The method of claim 5, further comprising rolling back an application deployment profile to the existing application deployment profile based on the performance data.

17. A non-transitory machine readable medium storing code, which when executed by a processor, causes a server to:

capture tracing information reported by a microservice of a set of cooperating microservices during invocation of the set of cooperating microservices, wherein the tracing information includes a service name and version information associated with at least one microservice of the set of cooperating microservices;

build an application deployment profile from the service name and version information;

compare the application deployment profile to an existing application deployment profile;

classify the application deployment profile as at least one of a previously existing profile, a subset profile, an extension profile, and an updated profile; and

track performance data associated with the application deployment profile.

18. The non-transitory machine readable medium of claim 17, wherein the application deployment profile is distinguished by at least one of an endpoint, a service, a collection of endpoints, and a collection of services.

19. The non-transitory machine readable medium of claim 17, wherein classifying the application deployment profile includes:

determining, by the server, a first status of the application deployment profile as one of related and unrelated to the existing application deployment profile, wherein responsive to determining the first status as unrelated, the server stores the application deployment profile as a new profile;

determining, by the server, a second status of the application deployment profile as one of including at least one matching microservice and at least one mismatching microservice as the existing application deployment profile, completely matching the existing application deployment profile, and including only matching microservices, but less microservices than the existing application deployment profile, and completely matching the existing application deployment profile, wherein

responsive to determining the second status as including each matching microservice and at least one mismatching microservice as the existing application deployment profile, the server updates the existing application deployment profile to include an extension profile with the version information included in the application deployment profile,

responsive to determining the second status as including only matching microservices, but less microservices than the existing application deployment profile, the server classifies the application deployment profile as a subset of the existing application deployment profile, and

responsive to determining the second status as completely matching the existing application deployment profile the server classifies the application deployment profile as the existing application deployment profile; and

determining, by the server, a third status of the application deployment profile as one of updated from the existing application deployment profile and pre-existing, wherein responsive to determining the third status as updated, the server designates the application deployment profile as an updated profile.

20. The non-transitory machine readable medium of claim 17, wherein the updated profile includes a timestamp.