Abstract: Techniques are described for determining diagnostic information (e.g., a diagnostic identifier) for one or more requests in a cloud computer system. A diagnostic identifier may be generated based on parameter data corresponding to one or more parameters in a request. A computing operation may be performed to generate a code (e.g., a hash code) for each parameter in the parameter data. The generated code(s) may be combined to form a diagnostic identifier to identify the parameter data. A comparison may be performed by comparing each code in one diagnostic identifier to a code in another diagnostic identifier corresponding to a parameter for which the codes were generated. A measure of a match between the two identifiers may be determined using a result of the comparison. The measure of the match may enable tracing and analysis of one or more requests in the cloud computer system.

Abstract: Techniques are described for determining diagnostic information (e.g., a diagnostic identifier) for one or more events related to operations performed in a cloud computer system. A diagnostic identifier may be generated based on diagnostic data corresponding to one or more attributes about an event. A computing operation may be performed to generate a code (e.g., a hash code) for each attribute in the diagnostic data. The generated code(s) may be combined to form a diagnostic identifier to identify the diagnostic data. A comparison may be performed by comparing each code in one diagnostic identifier to a code in another diagnostic identifier corresponding to an attribute for which the codes were generated. A measure of a match between the two identifiers may be determined using a result of the comparison. The measure of the match may enable tracing and analysis of one or more events occurring in the cloud computer system.

Abstract: Techniques are described for determining diagnostic information (e.g., a diagnostic identifier) for one or more requests in a cloud computer system. A diagnostic identifier may be generated based on parameter data corresponding to one or more parameters in a request. A computing operation may be performed to generate a code (e.g., a hash code) for each parameter in the parameter data. The generated code(s) may be combined to form a diagnostic identifier to identify the parameter data. A comparison may be performed by comparing each code in one diagnostic identifier to a code in another diagnostic identifier corresponding to a parameter for which the codes were generated. A measure of a match between the two identifiers may be determined using a result of the comparison. The measure of the match may enable tracing and analysis of one or more requests in the cloud computer system.

Abstract: Techniques are described for determining diagnostic information (e.g., a diagnostic identifier) for one or more events related to operations performed in a cloud computer system. A diagnostic identifier may be generated based on diagnostic data corresponding to one or more attributes about an event. A computing operation may be performed to generate a code (e.g., a hash code) for each attribute in the diagnostic data. The generated code(s) may be combined to form a diagnostic identifier to identify the diagnostic data. A comparison may be performed by comparing each code in one diagnostic identifier to a code in another diagnostic identifier corresponding to an attribute for which the codes were generated. A measure of a match between the two identifiers may be determined using a result of the comparison. The measure of the match may enable tracing and analysis of one or more events occurring in the cloud computer system.