Abstract: An example method of end-to-end testing in a multi-cloud environment having a public cloud in communication through a messaging fabric with a data center, the method including: deploying, by a testbed management service executing in the public cloud, a testbed in the data center, the testbed including an agent platform appliance and endpoint software executing on virtualized hosts of the data center, the agent platform appliance in communication with the end point software and the messaging fabric of the public cloud; executing, by a test service in the public cloud, tests against the testbed; and verifying, in response to results of the tests, operation of cloud services executing in the public cloud and configured to interact with the endpoint software.

Abstract: An example method of selecting a primary instance of a horizontally scaled service executing in a public cloud, comprising: querying, by a first instance of a plurality of instances of the horizontally scaled service, a database for a value of an identifier of a primary instance, the primary instance configured to perform an exclusive task, each of the plurality of instances other than the primary instance configured to defer the exclusive task to the primary instance; setting, by the first instance, the value of the identifier of the primary instance to a first identifier of the first instance in response to the value of the identifier of the primary instance being unset in the database; and updating data associated with the identifier of the primary instance in the database, by the first instance while performing the exclusive task, to the exclusion of each other instance of the plurality of instances.

Abstract: An example method of entitling endpoint software in a multi-cloud environment having a public cloud in communication through a messaging fabric with a data center includes: determining, by an entitlement service executing as a cloud service in the public cloud, deployment information for the endpoint software executing on virtualized hosts of the data center; generating, by the entitlement service in response to an entitlement request, an entitlement task in response to verifying the entitlement request against the deployment information; sending, through the messaging fabric, the entitlement task from the entitlement service to an entitlement agent of an agent platform appliance executing in the data center; and applying, by the entitlement agent in cooperation with a licensing service of the endpoint software, a subscription entitlement as indicated in the entitlement task.

Abstract: A electronic sensor signals monitoring unit (10), system and computer program, for sepsis monitoring, includes an interactive visualization status calculation monitor (M), a sensor data acquisition interface (11), acquiring time-critical status-relevant sensor signals from medical devices (G), a rule engine interface (12) to a memory or a data bank (DB) with stored rules for analyzing and processing status-relevant parameters and/or sensor signals, and a computer-assisted control unit (S), configured to dynamically control the interactive visualization on the monitor (M) and including an arithmetic unit (RW). The arithmetic unit (RW) is supplied with the acquired sensor signals via the sensor data acquisition interface (11) and is intended for the status calculation with the rules stored in the data bank (DB). The status calculation includes an overview display, a detail view and a logbook view. A display of the course of status-relevant sensor signals over time is visualized in the detail view.

Abstract: A method, device, system data analysis determines warning signals for pathological conditions. Measured data is collected from a patient data management system with a data interface. Data sets relevant to pathological conditions are analyzed and sensor signals of a user terminal are analyzed that are relevant to pathological conditions. Auxiliary signals are determined for the conditions when results of the analyses are positive. A most recently determined auxiliary signal is displayed. Further data sets are analyzed subsequent to auxiliary signals being determined. A further auxiliary signal is determined for a further condition when result of the analysis of the further data set is positive. An analysis is made of a further sensor signal subsequent to the determination of the further auxiliary signal. Another auxiliary signal is determined for another condition when a result of the analysis of the further sensor signal is positive subsequent to determining the further auxiliary signal.

Abstract: A electronic sensor signals monitoring unit (10), system and computer program, for sepsis monitoring, includes an interactive visualization status calculation monitor (M), a sensor data acquisition interface (11), acquiring time-critical status-relevant sensor signals from medical devices (G), a rule engine interface (12) to a memory or a data bank (DB) with stored rules for analyzing and processing status-relevant parameters and/or sensor signals, and a computer-assisted control unit (S), configured to dynamically control the interactive visualization on the monitor (M) and including an arithmetic unit (RW). The arithmetic unit (RW) is supplied with the acquired sensor signals via the sensor data acquisition interface (11) and is intended for the status calculation with the rules stored in the data bank (DB). The status calculation includes an overview display, a detail view and a logbook view. A display of the course of status-relevant sensor signals over time is visualized in the detail view.