Abstract: A system and method of automating fault prediction and remediation for a multi-tenant system is disclosed. The system and method offer an intelligent augmentation of a multi-tenant system by automating the harvesting and processing of raw data logs generated by the various aspects of the platform as well as the implementation of an appropriate response. In some embodiments, the proposed system includes a hybrid model that can be configured to offer both assisted and unassisted errors. The incorporation of a dynamic learning algorithm minimizes operation errors for any set of computing units. Potential system faults can be detected with little to no human intervention and allow for an unattended platform that collects performance data across the system from a wide range of sources to provide centralized and automated fault prediction, as well as expedited automated resolutions to such faults that depend on little to no human intervention.

Abstract: The present disclosure relates to systems, methods, and computer readable medium for automatically managing API documentation and code generation. The disclosure provides an IDE plug-in that may import a machine readable reference documentation file from a documentation database, and create automatically generated code from the machine readable reference documentation file. Generally, the IDE plug-in may then allow a developer to validate their project back against the machine readable reference documentation file to ensure that all expected code is present in the project. This may allow the developer to ensure that the project properly meets the functional objectives intended for the API, before their implementation is deployed.

Abstract: A system and method of automating fault prediction and remediation for a multi-tenant system is disclosed. The system and method offer an intelligent augmentation of a multi-tenant system by automating the harvesting and processing of raw data logs generated by the various aspects of the platform as well as the implementation of an appropriate response. In some embodiments, the proposed system includes a hybrid model that can be configured to offer both assisted and unassisted errors. The incorporation of a dynamic learning algorithm minimizes operation errors for any set of computing units. Potential system faults can be detected with little to no human intervention and allow for an unattended platform that collects performance data across the system from a wide range of sources to provide centralized and automated fault prediction, as well as expedited automated resolutions to such faults that depend on little to no human intervention.

Abstract: The present disclosure relates to systems, methods, and computer readable medium for automatically managing API documentation and code generation. The disclosure provides an IDE plug-in that may import a machine readable reference documentation file from a documentation database, and create automatically generated code from the machine readable reference documentation file. Generally, the IDE plug-in may then allow a developer to validate their project back against the machine readable reference documentation file to ensure that all expected code is present in the project. This may allow the developer to ensure that the project properly meets the functional objectives intended for the API, before their implementation is deployed.

Abstract: A system and method for recovering messages in a multi-node system that incorporates an active-active architecture with replicated databases is disclosed. The system comprises two or more computing nodes where each computing node includes brokers for processing local messages and a recovery broker for recovering messages from the replicated database when another node in the system fails. Each recovery broker competes with brokers on another node to acquire locks on database information. The recovery broker is successful if the network of brokers on the other node are unavailable and fail to obtain or retain locks on the database information. In this situation, the recovery broker can retrieve messages from the database information and pass the messages to other brokers on the same computing node for processing and completing any ongoing transactions.

Abstract: A system and method for recovering messages in a multi-node system that incorporates an active-active architecture with replicated databases is disclosed. The system comprises two or more computing nodes where each computing node includes brokers for processing local messages and a recovery broker for recovering messages from the replicated database when another node in the system fails. Each recovery broker competes with brokers on another node to acquire locks on database information. The recovery broker is successful if the network of brokers on the other node are unavailable and fail to obtain or retain locks on the database information. In this situation, the recovery broker can retrieve messages from the database information and pass the messages to other brokers on the same computing node for processing and completing any ongoing transactions.