Oracle International Corporation

Wai Jan

Gregory Cook

Bruce Irvin

Kaj Van De Loo

R Bruce Irvin

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.

Multi-tenant cloud-based queuing systems

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.

Techniques for generating diagnostic identifiers to trace events and identifying related diagnostic information

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.

Techniques for generating diagnostic identifiers to trace request messages and identifying related diagnostic information

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.

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Portland, OR, United States of America

Wai Jan