Patent classifications
G06F8/70
Monitoring code provenance
One example method of operation may include determining one or more of a file type and a code segment accessed during a code access event, identifying code origin information appended to the code segment during previous code access events, appending an updated code access location to the code segment identifying the current code access event and a current code location, and applying one or more code access restrictions to the code segment based on the current code location.
Monitoring code provenance
One example method of operation may include determining one or more of a file type and a code segment accessed during a code access event, identifying code origin information appended to the code segment during previous code access events, appending an updated code access location to the code segment identifying the current code access event and a current code location, and applying one or more code access restrictions to the code segment based on the current code location.
Distributed software defined networking
The Distributed Software Defined Network (dSDN) disclosed herein is an end-to-end architecture that enables secure and flexible programmability across a network with full lifecycle management of services and infrastructure applications (fxDeviceApp). The dSDN also harmonizes application deployment across the network independent of the hardware vendor. As a result, the dSDN simplifies the network deployment lifecycle from concept to design to implementation to decommissioning.
Intelligent software agent to facilitate software development and operations
Some embodiments may facilitate software development and operations for an enterprise. A communication input port may receive information associated with a software continuous integration/deployment pipeline of the enterprise. An intelligent software agent platform, coupled to the communication input port, may listen for a trigger indication from the software continuous integration/deployment pipeline. Responsive to the trigger indication, the intelligent software agent platform may apply system configuration information and rule layer information to extract software log data and apply a machine learning model to the extracted software log data to generate a pipeline health check analysis report. The pipeline health check analysis report may include, for example, an automatically generated prediction associated with future operation of the software continuous integration/deployment pipeline. The intelligent software agent platform may then facilitate transmission of the pipeline health check analysis report via a communication output port and a distributed communication network.
Intelligent software agent to facilitate software development and operations
Some embodiments may facilitate software development and operations for an enterprise. A communication input port may receive information associated with a software continuous integration/deployment pipeline of the enterprise. An intelligent software agent platform, coupled to the communication input port, may listen for a trigger indication from the software continuous integration/deployment pipeline. Responsive to the trigger indication, the intelligent software agent platform may apply system configuration information and rule layer information to extract software log data and apply a machine learning model to the extracted software log data to generate a pipeline health check analysis report. The pipeline health check analysis report may include, for example, an automatically generated prediction associated with future operation of the software continuous integration/deployment pipeline. The intelligent software agent platform may then facilitate transmission of the pipeline health check analysis report via a communication output port and a distributed communication network.
Autonomous Kubernetes operator creation and management
A computer-implemented method includes dynamically generating a sub-operator bundle based on a template. The method further includes converting, by a processing device using a sub-operator registry server, the sub-operator bundle into a sub-operator. The method further includes providing, by the processing device using the sub-operator registry server, the sub-operator to a catalog.
Autonomous Kubernetes operator creation and management
A computer-implemented method includes dynamically generating a sub-operator bundle based on a template. The method further includes converting, by a processing device using a sub-operator registry server, the sub-operator bundle into a sub-operator. The method further includes providing, by the processing device using the sub-operator registry server, the sub-operator to a catalog.
Static and dynamic correlation of software development pipeline events
Disclosed embodiments relate to systems and methods for correlating software pipeline events. Techniques include receiving first data representing at least one aspect of a first software pipeline event; identifying a value as a potential identifier of the first software pipeline event; storing the value in a data structure in an associative manner with the first software pipeline event; receiving second data representing at least one aspect of a second software pipeline event; identifying an additional value as a potential identifier of the second software pipeline event; comparing additional value to the value stored in the data structure; based on the comparison, determining whether a correlation exists between the first software pipeline event and the second software pipeline event; and based on a determination that a correlation exists, providing an indication of the correlation.
Static and dynamic correlation of software development pipeline events
Disclosed embodiments relate to systems and methods for correlating software pipeline events. Techniques include receiving first data representing at least one aspect of a first software pipeline event; identifying a value as a potential identifier of the first software pipeline event; storing the value in a data structure in an associative manner with the first software pipeline event; receiving second data representing at least one aspect of a second software pipeline event; identifying an additional value as a potential identifier of the second software pipeline event; comparing additional value to the value stored in the data structure; based on the comparison, determining whether a correlation exists between the first software pipeline event and the second software pipeline event; and based on a determination that a correlation exists, providing an indication of the correlation.
Next generation digitized modeling system and methods
A system and method are disclosed for creating solution design blueprints. A solution design blueprint is a machine-readable data structure that includes a conceptual design model for an application framework. A user interface is configured to receive a plain language textual request from a user that describes a desired application or solution to a problem. Artificial Intelligence is leveraged to fit the textual request to semantic data models and map elements of the textual request to components of a design library. The resulting solution design blueprint can be presented to a user, and the user interface can be used to provide feedback related to the solution design blueprint that can be utilized to update machine learning algorithms and/or neural networks. In some embodiments, the solution design blueprint can be converted to an application framework that is provided to the use in an integrated development environment of the user interface.