Health index of a service

An electronic device, comprising:

• a processing unit;
• and
• a memory coupled to the processing unit and having instructions stored thereon, the instructions, when executed by the processing unit, causing the electronic device to perform acts comprising:
• obtaining a plurality of incident information sets associated with a plurality of services provisioned in a computing environment, an incident information set associated with a service indicating a plurality of incidents reported during operation of the service;
• calculating a health index for a service associated with each incident information set of the plurality of incident information sets by:
• extracting features from the incident information sets, wherein the features include a severity level of each incident of the plurality of incidents;
• inputting the features into a machine learning algorithm to output a health score for each severity level of a plurality of severity levels associated with the plurality of incidents;
• and
• evaluating respective health scores for each severity level using a health classification policy to generate a health index for the service, wherein the health index is calculated as a sum of weighted health scores for each severity level, wherein a weight for a particular health score is chosen from a plurality of weights corresponding to the plurality of severity levels;
• generating health indices for each service of the plurality of services, wherein the health indices indicate respective health statuses of the plurality of services and are determined from a same health index range;
• receiving inputs from a user interface control defining a filter policy for the health indices;
• and
• outputting a set of visual representations corresponding to the health indices based on the filter policy.

At least one non-transitory machine-readable computer storage medium comprising instructions that, when executed by at least one processor, cause the at least one processor to perform operations to:

• obtain a plurality of incident information sets associated with a plurality of services provisioned in a computing environment, an incident information set associated with a service indicating a plurality of incidents reported during operation of the service;
• calculate a health index for a service associated with each incident information set of the plurality of incident information sets by:
• extract features from the incident information sets, wherein the features include a severity level of each incident of the plurality of incidents;
• input the features into a machine learning algorithm to output a health score for each severity level of a plurality of severity levels associated with the plurality of incidents;
• and
• evaluate respective health scores for each severity level using a health classification policy to generate a health index for the service, wherein the health index is calculated as a sum of weighted health scores for each severity level, wherein a weight for a particular health score is chosen from a plurality of weights corresponding to the plurality of severity levels;
• generate health indices for each service of the plurality of services, wherein the health indices indicate respective health statuses of the plurality of services and are determined from a same health index range;
• receive inputs from a user interface control defining a filter policy for the health indices;
• and
• output a set of visual representations corresponding to the health indices based on the filter policy.