Abstract: Techniques are disclosed for multi-tenant cloud-based queuing. Certain techniques are disclosed herein that provide for interactions and observability between tenant queues within a multi-tenant cloud-based queuing database. In some embodiments, the queues may be utilized by both users and merchants for both online and point-of-service interactions. Multiple queues for multiple tenants are hosted by a cloud computing system. Each queue may include one more queue entries, each of which includes a ticket value, and may further include a ticket alias. The ticket values and/or ticket aliases may be decoupled from a queue position for the entry. In some embodiments, the queue entries may be swapped within a queue or between queues, and the system may enable searching in or automated actions between queues and/or tenants based in part upon queue conditions.

Abstract: Techniques are disclosed for multi-tenant cloud-based queuing. Certain techniques are disclosed herein that provide for interactions and observability between tenant queues within a multi-tenant cloud-based queuing database. In some embodiments, the queues may be utilized by both users and merchants for both online and point-of-service interactions. Multiple queues for multiple tenants are hosted by a cloud computing system. Each queue may include one more queue entries, each of which includes a ticket value, and may further include a ticket alias. The ticket values and/or ticket aliases may be decoupled from a queue position for the entry. In some embodiments, the queue entries may be swapped within a queue or between queues, and the system may enable searching in or automated actions between queues and/or tenants based in part upon queue conditions.

Abstract: Techniques are disclosed for multi-tenant cloud-based queuing. Certain techniques are disclosed herein that provide for interactions and observability between tenant queues within a multi-tenant cloud-based queuing database. In some embodiments, the queues may be utilized by both users and merchants for both online and point-of-service interactions. Multiple queues for multiple tenants are hosted by a cloud computing system. Each queue may include one more queue entries, each of which includes a ticket value, and may further include a ticket alias. The ticket values and/or ticket aliases may be decoupled from a queue position for the entry. In some embodiments, the queue entries may be swapped within a queue or between queues, and the system may enable searching in or automated actions between queues and/or tenants based in part upon queue conditions.

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 disclosed for multi-tenant cloud-based queuing. Certain techniques are disclosed herein that provide for interactions and observability between tenant queues within a multi-tenant cloud-based queuing database. In some embodiments, the queues may be utilized by both users and merchants for both online and point-of-service interactions. Multiple queues for multiple tenants are hosted by a cloud computing system. Each queue may include one more queue entries, each of which includes a ticket value, and may further include a ticket alias. The ticket values and/or ticket aliases may be decoupled from a queue position for the entry. In some embodiments, the queue entries may be swapped within a queue or between queues, and the system may enable searching in or automated actions between queues and/or tenants based in part upon queue conditions.

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: A system and method for diagnosing an error during a user operation in a web application. An example method is executed, at least in part, by a server system, wherein the server system also executes, at least in part, a web application. The example method includes recording user operations during a user's interaction with the web application; storing the user operations in a click history record in a primary memory device; determining that an error has occurred during the user's interaction with the web application; in response to the determining, transferring at least a portion of the click history record to a secondary memory device; including correlation information in association with the click history; identifying at least one other record by using the correlation information; and providing the click history record and the at least one other record to analysis software and accompanying user interface display screen so that the error can be diagnosed.

Abstract: A system and method for diagnosing an error during a user operation in a web application. An example method is executed, at least in part, by a server system, wherein the server system also executes, at least in part, a web application. The example method includes recording user operations during a user's interaction with the web application; storing the user operations in a click history record in a primary memory device; determining that an error has occurred during the user's interaction with the web application; in response to the determining, transferring at least a portion of the click history record to a secondary memory device; including correlation information in association with the click history; identifying at least one other record by using the correlation information; and providing the click history record and the at least one other record to analysis software and accompanying user interface display screen so that the error can be diagnosed.