Dish Wireless L.l.c.

Robert Kierzyk

Said Berrahil

Brian Mengwasser

Andrew Trujillo

Sundeep Goswami

Marc Rouanne

Henry Yu

Ignacio Brarda

An automated process identifies root causes of defects in a 5G wireless or other data processing system. A design studio or similar tool can be used to track information about one or more particular defects. Information collected could include, for example, results of simulated or actual data processing, technical conditions identified by a system monitor, defect insertion information, defect escape information, and the like. Defect data can be analyzed by an artificial intelligence or other logic to identify root cause attributes that gave rise to the defects. These attributes, in turn, can be used to locate new defects that would have otherwise remained undetected.

Identification of root causes in data processing errors

Systems, methods, and non-transitory, machine-readable media may facilitate multi-environment cellular network slice testing. A cloud-based test environment may be created and may include multiple cellular network components executed on a cloud-based computing platform. One or more slice testing requests may be received from a service provider system. Responsive to the one or more slice testing requests, one or more network slices may be created, where the one or more network slices may correspond to one or more portions of a cellular network. Slice testing may be performed with the one or more network slices within the cloud-based test environment. Results of the slice testing using the one or more network slices may be obtained.

Multi-environment cellular network slice testing system

Various arrangements for cellular network chaos testing are presented herein. A cloud-based environment can be created in which multiple cellular network components are executed on a cloud-based computing platform. Defined chaos can be injected into the cloud-based environment. At least one of the cellular network components is monitored to determine how the injected chaos affects the cellular network component. Performance data of the monitored cellular network component is captured from in the cloud-based environment. In response, a hybrid cloud-based production cellular network may be modified.

Cellular network chaos testing

Systems, methods, and non-transitory, machine-readable media may facilitate multi-environment cellular network development and testing. A plurality of cloud-based environments that are configured according to an hierarchical order and that allow for development and/or testing of features and/or services with respect to a cellular network may be created. The plurality of cloud-based environments may be communicatively coupled to one or more software repositories via a first plurality of pipelines. The plurality of cloud-based environments may be communicatively coupled to one or more issue monitors via a second plurality of pipelines. The plurality of cloud-based environments may be exposed to service provider systems and allowing the service provider systems to develop and/or test features and/or services with respect to the cellular network within the plurality of cloud-based environments.

Multi-environment cellular network development and testing system

Various arrangements for performing cellular network testing are presented herein. A test environment can be created for a production cellular network. A test can be defined for the cellular network within the testing environment then performed. An issue can be logged that indicates that a performance metric of the cellular network within the test environment was not met. The issue and the test environment are analyzed to identify a component responsible for the performance metric not being met. The cellular network as implemented in the test environment, the production network, or both can then be modified.

Virtualized cellular network multi-stage test and ticketing environment

Various arrangements for performing cellular network testing are presented herein. A test environment can be created for a production cellular network. A test can be defined for the cellular network within the testing environment then performed. An issue can be logged using a ticket logging system that indicates that a performance metric of the cellular network within the test environment was not met. The issue and the test environment are analyzed to identify a component responsible for the performance metric not being met. Access to a record defining the issue is provided to an external entity that is mapped to the component. The cellular network as implemented in the test environment can then be modified.

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Littleton, CO, United States of America

Robert Kierzyk