Sap Se

Moritz Semler

Le Zhang

Yu Wang

Daping Wang

Haoxing Hou

Kai Mueller

Zuosui Wu

Yu Yang

Methods, systems, and computer-readable storage media for receiving, by a cross-process scheduling engine executed within a cloud platform, work scenario metadata and sensitivity metadata, generating, by the cross-process scheduling engine, a lineage graph representing relationships between one or more of data and processes to be executed for a work scenario represented by the work scenario metadata, defining, by the cross-process scheduling engine, a set of tile segments for the work scenario based on the lineage graph and the sensitivity metadata, dispatching, by the cross-process scheduling engine, a first sub-set of tile segments for execution in a private deployment including one or more private nodes, and dispatching, by the cross-process scheduling engine, a second sub-set of tile segments for execution in a public deployment including one or more public nodes.

Cross-process dispatch service in hybrid cloud scenarios

Methods, systems, and computer-readable storage media for receiving, by a service stack recovery engine, an error message indicating a failed service in a plurality of services executed in a cloud platform, determining, by the service stack recovery engine, a set of services for recovery in response to the error message, and, for each service in the set of services, identifying, by the service stack recovery engine, an error handler that is associated with a service recovery type in a set of service recovery types, the error handler including a set of error handling operations to be executed to recover the failed service, and transmitting, by the service stack recovery engine, the error handler to a service recovery agent associated with the respective service, the service recovery agent executing error handling operations of the error handler to recover the service.

Service stack recovery in cloud platforms

Methods, systems, and computer-readable storage media for receiving, by an operation guard system executed within a cloud platform, session information representative of a session of a user within the cloud platform, the session information including user information and operation information, determining, by the operation guard system, that the user is signed into a technical group for execution of an operation represented in the operation information, and in response, providing, by the operation guard system, a risk score associated with the operation, and determining, by the operation guard system and at least partially based on the risk score, that the operation is a risk-oriented operation based on the risk score, and in response, preventing execution of the operation and transmitting an alert.

Intelligent trackable operation guard service in cloud platforms

Various examples are directed to systems and methods for operating a database management system (DBMS) in a cloud environment. An assembly worker executing at a first computing device may provide a first database protocol message generated by a process code executing at the first computing device. A translation engine executed at the cloud environment may translate the first database protocol message from a first format to a second format associated with a DBMS instance executing at the cloud environment to generate a translated first database protocol message. The translation engine may cause the translated first database protocol message to be provided to the DBMS instance and may receive, from the DBMS instance, a first reply corresponding to the translated first database protocol message. The first reply may be sent to the process code.

Cloud migration for legacy on-premises process code

A method, a system, and a computer program product for generating code from an XML schema description. A source extendible markup language (XML) schema description for an object is received. Based on the received XML schema description, a XML schema description model having a plurality of model elements is computed. Each model element in the plurality of model elements corresponds to an element in the XML schema description for the object. Based on the computed XML schema description model, a computing code for implementation in a plurality of target computing environments is generated.

Growing community of inventors

Walldorf, Germany

Moritz Semler