Dell Products Inc.

Dónal Carpenter

Mahuya Ghosh

Zygimantas Mockus

Carlos Martins Rodrigues

Adam Jasinski

Carlos Manuel Dos Santos Martins Rodrigues

Techniques are provided for identifying dependencies among multiple software entities. One exemplary method comprises scanning source code and/or configuration information of a given software entity to extract connection information for connections made by the given software entity with other software entities, wherein at least one connection made by the given software entity is an asynchronous connection that employs asynchronous messaging using an intermediate message broker; resolving at least one uniform resource identifier in the extracted connection information to obtain a corresponding network address; analyzing the source code associated with the asynchronous connection to determine whether the given software entity is a producer or a consumer associated with the asynchronous connection; and generating a dependency graph identifying a plurality of the other software entities that depend on the given software entity. The dependency graph is optionally generated by aggregating the connections of the given software entity with connections by other software entities.

Identification of dependencies among software entities

An information handling system stores logs in a volatile log buffer for a pre-determined time, and monitors the logs in the log buffer in real-time. The system parses the logs to detect a triggering event, wherein the triggering event is one of an error event, a fatal event, or a critical event. In response to detecting the triggering event, the system stores debug level logs in a non-volatile storage device. If the predetermined time is reached, then the system determines whether to discard the logs or to store the logs in the non-volatile storage device. In response to a determination to discard the logs, the logs in the log buffer may be discarded.

System and method for reactive log spooling

Some examples include a service to receive a job request that includes a job, a priority of the job, and a callback that identifies an application to execute the job. The application may be hosted by a particular virtual machine of a plurality of virtual machines being executed in a cloud hosting facility. The service may add the job request to a queue and determine, using a machine learning algorithm, a risk score associated with the job. Based at least in part on the risk score, the service may send a provisioning request to the cloud hosting facility to provision one or more additional virtual machines. After determining that the application has completed executing the job, the service may send a de-provisioning request to the cloud hosting facility to de-provision at least one virtual machine of the one or more additional virtual machines.

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Wicklow, Ireland

Dónal Carpenter