METHOD AND SYSTEM FOR DETERMINE SYSTEM UPGRADE RECOMMENDATIONS
In general, embodiments of the invention relate to a method for generating upgrade recommendations. The method comprising obtaining telemetry data for a target entity, determining, using the telemetry data, at least one of a predicted upgrade time and a upgrade readiness factor for the target entity, generating an recommendation based on the at least one of the predicted upgrade time and the upgrade readiness factor for the target entity, and initiating a display of the recommendation on a graphical user interface of client.
1 . A method for generating upgrade recommendations, the method comprising:
obtaining telemetry data for a target entity;
determining, using the telemetry data, at least one of a predicted upgrade time and a upgrade readiness factor for the target entity;
generating a recommendation based on the at least one of the predicted upgrade time and the upgrade readiness factor for the target entity; and
initiating a display of the recommendation on a graphical user interface of client.
2 . The method of claim 1 , wherein the telemetry data comprises health data and upgrade data.
3 . The method of claim 2 , wherein the health data comprises data associated with the target entity.
4 . The method of claim 3 , wherein the upgrade data comprises data associated with target entities that are similar to the target entity.
5 . The method of claim 4 , wherein the predicted upgrade time is based on the health data and the upgrade data.
6 . The method of claim 2 , wherein the upgrade readiness factor is based on the upgrade data.
7 . The method of claim 6 , wherein the upgrade readiness factor is determined based on a number of upgrade issues identified for the target entity and a number of upgrade issues that have been fixed for the target entity, wherein the number of upgrade issues identified for the target entity is determined using telemetry data obtained using enhanced logging.
8 . The method of claim 1 , wherein the recommendation is generated by at least one of: comparing the predicted upgrade time to historical upgrade times for similar target entities and comparing the upgrade readiness factor to a threshold value.
9 . The method of claim 1 , wherein the target entity is a microservice.
10 . The method of claim 1 , wherein the target entity is a backup node.
11 . A non-transitory computer readable medium comprising computer readable program code, which when executed by a computer processor enables the computer processor to perform a method, the method comprising:
obtaining telemetry data for a target entity;
determining, using the telemetry data, a predicted upgrade time and a upgrade readiness factor for the target entity;
generating a recommendation based on the predicted upgrade time and the upgrade readiness factor for the target entity; and
initiating a display of the recommendation on a graphical user interface of client.
12 . The non-transitory computer readable medium of claim 11 , wherein the telemetry data comprises health data and upgrade data.
13 . The non-transitory computer readable medium of claim 12 , wherein the health data comprises data associated with the target entity.
14 . The non-transitory computer readable medium of claim 13 , wherein the upgrade data comprises data associated with target entities that are similar to the target entity.
15 . The non-transitory computer readable medium of claim 14 , wherein the predicted upgrade time is based on the health data and the upgrade data.
16 . The non-transitory computer readable medium of claim 12 , wherein the upgrade readiness factor is based on the upgrade data.
17 . The non-transitory computer readable medium of claim 16 , wherein the upgrade readiness factor is determined based on a number of upgrade issues identified for the target entity and a number of upgrade issues that have been fixed for the target entity, wherein the number of upgrade issues identified for the target entity is determined using telemetry data obtained using enhanced logging.
18 . The non-transitory computer readable medium of claim 11 , wherein the recommendation is generated by at least one of: comparing the predicted upgrade time to historical upgrade times for similar target entities and comparing the upgrade readiness factor to a threshold value.
19 . The non-transitory computer readable medium of claim 11 , wherein the target entity is a micro service.
20 . The non-transitory computer readable medium of claim 11 , wherein the target entity is a backup node.