Abstract: Systems and methods for using a user simulation model to facilitate detection of usage anomalies is disclosed. Usage data is received for a session between a user device and an application or service. The usage data is monitored to detect a usage anomaly, such as unusual or suspicious transactions, unexpected user or device attributes, or abnormal usage patterns. In response to detecting a request to terminate the session, the session is instead handed off to a user simulation model that simulates interactions of a user in the session. The user simulation model can be a machine learning model that is trained, using a training dataset, to simulate user interactions. When the user logs into the application or service, the session can be handed off from the user simulation model to the user, such that the session is perpetual or substantially perpetual.

Abstract: A system and methods for provisioning and managing databases are disclosed. A request is received to provision a database for a software application, including a general database type and one or more parameters for the requested database. Based on the received request, the system generates database recommendations including a recommended specific type of database. The system receives a selection of one of the recommended databases and determines whether a user submitting the request is approved, based on a level of privileges or a quota. When the user is approved for the selected database, the system generates the selected databased by retrieving database code from a repository. The system updates an inventory to reflect the provisioning of the generated database. The generated database can then be managed using the system, including predicting adverse events associated with the generated database and/or predicting a need to adjust resources for the generated database.

Abstract: Systems and methods for using a user simulation model to facilitate detection of usage anomalies is disclosed. Usage data is received for a session between a user device and an application or service. The usage data is monitored to detect a usage anomaly, such as unusual or suspicious transactions, unexpected user or device attributes, or abnormal usage patterns. In response to detecting a request to terminate the session, the session is instead handed off to a user simulation model that simulates interactions of a user in the session. The user simulation model can be a machine learning model that is trained, using a training dataset, to simulate user interactions. When the user logs into the application or service, the session can be handed off from the user simulation model to the user, such that the session is perpetual or substantially perpetual.

Abstract: A system and methods for provisioning and managing databases are disclosed. A request is received to provision a database for a software application, including a general database type and one or more parameters for the requested database. Based on the received request, the system generates database recommendations including a recommended specific type of database. The system receives a selection of one of the recommended databases and determines whether a user submitting the request is approved, based on a level of privileges or a quota. When the user is approved for the selected database, the system generates the selected databased by retrieving database code from a repository. The system updates an inventory to reflect the provisioning of the generated database. The generated database can then be managed using the system, including predicting adverse events associated with the generated database and/or predicting a need to adjust resources for the generated database.

Abstract: A method of building a software development project environment.

Abstract: Systems and methods for decomposing telecommunication assets and generating asset quality scores are disclosed. Parameters are received for a telecommunication asset, including a location and/or access credentials. An asset group is identified for the telecommunication asset, such as an asset group associated with an operational unit or activity of a telecommunication service provider. One or more deployable units are received for inclusion in the telecommunication asset. Using the telecommunication asset parameters, the asset group, and the one or more deployable units, a hierarchical representation of the telecommunication asset is generated to facilitate management of the telecommunication asset. In some implementations, a quality score is generated for the telecommunication asset, such as a score generated using a trained machine learning model.

Abstract: Systems and methods for using a user simulation model to facilitate detection of usage anomalies is disclosed. Usage data is received for a session between a user device and an application or service. The usage data is monitored to detect a usage anomaly, such as unusual or suspicious transactions, unexpected user or device attributes, or abnormal usage patterns. In response to detecting a request to terminate the session, the session is instead handed off to a user simulation model that simulates interactions of a user in the session. The user simulation model can be a machine learning model that is trained, using a training dataset, to simulate user interactions. When the user logs into the application or service, the session can be handed off from the user simulation model to the user, such that the session is perpetual or substantially perpetual.

Abstract: A system and methods for managing dependencies for telecommunication services, such as software applications, are disclosed. To evaluate a telecommunication service comprising a software application, a set of declared dependencies are accessed for the service. The declared dependencies include services upon which the telecommunication service depends. Actual dependencies are identified for the telecommunication service, such as by analyzing operations performed by the telecommunication service based on network traffic between the telecommunication service and one or more other services. The telecommunication service is evaluated by comparing the actual dependencies to the declared dependencies. For example, the system can evaluate whether actual dependencies are consistent with dependencies specified in an architecture or design for the telecommunication service.

Abstract: A system and methods for provisioning and managing databases are disclosed. A request is received to provision a database for a software application, including a general database type and one or more parameters for the requested database. Based on the received request, the system generates database recommendations including a recommended specific type of database. The system receives a selection of one of the recommended databases and determines whether a user submitting the request is approved, based on a level of privileges or a quota. When the user is approved for the selected database, the system generates the selected databased by retrieving database code from a repository. The system updates an inventory to reflect the provisioning of the generated database. The generated database can then be managed using the system, including predicting adverse events associated with the generated database and/or predicting a need to adjust resources for the generated database.

Abstract: A method of building a software development project environment.

Abstract: Systems and methods are described herein for performing automated audit balance control (ABC) procedures for data that has moved between data stores within an enterprise or other organization. The systems and methods inspect the data at a target data store and determine the quality of the movement of the data to the target data store based on the inspection. For example, the systems and methods can inspect row or record counts for the data in a data store, aggregate numeric sums within the data at the target data store, perform key data value comparisons between different locations that contained the data, perform full data comparisons between different locations that contained the data, perform checksum comparisons, apply complex business rules, and so on, when determining or verifying the completeness and accuracy of data as it arrives to a temporary or permanent location.

Abstract: Systems and methods are described herein for performing automated audit balance control (ABC) procedures for data that has moved between data stores within an enterprise or other organization. The systems and methods inspect the data at a target data store and determine the quality of the movement of the data to the target data store based on the inspection. For example, the systems and methods can inspect row or record counts for the data in a data store, aggregate numeric sums within the data at the target data store, perform key data value comparisons between different locations that contained the data, perform full data comparisons between different locations that contained the data, perform checksum comparisons, apply complex business rules, and so on, when determining or verifying the completeness and accuracy of data as it arrives to a temporary or permanent location.

Abstract: Systems and methods are described herein for performing automated audit balance control (ABC) procedures for data that has moved between data stores within an enterprise or other organization. The systems and methods inspect the data at a target data store and determine the quality of the movement of the data to the target data store based on the inspection. For example, the systems and methods can inspect row or record counts for the data in a data store, aggregate numeric sums within the data at the target data store, perform key data value comparisons between different locations that contained the data, perform full data comparisons between different locations that contained the data, perform checksum comparisons, apply complex business rules, and so on, when determining or verifying the completeness and accuracy of data as it arrives to a temporary or permanent location.

Abstract: Systems and methods are described herein for performing automated audit balance control (ABC) procedures for data that has moved between data stores within an enterprise or other organization. The systems and methods inspect the data at a target data store and determine the quality of the movement of the data to the target data store based on the inspection. For example, the systems and methods can inspect row or record counts for the data in a data store, aggregate numeric sums within the data at the target data store, perform key data value comparisons between different locations that contained the data, perform full data comparisons between different locations that contained the data, perform checksum comparisons, apply complex business rules, and so on, when determining or verifying the completeness and accuracy of data as it arrives to a temporary or permanent location.

Abstract: A method and system for providing decision-time brokerage in a hybrid cloud ecosystem is disclosed. Disclosed embodiments may include receiving a workload input by a brokerage engine executing in a computing device communicably connected to at least one cloud computing node in a cloud platform of a cloud service provider, determining resource optimization for the workload input by the brokerage engine, monitoring the workload input for compliance with one or more audit and regulatory metrics, monitoring the cost consumption of the workload input, capturing non-functional context data associated with the workload input into a context repository database, applying one or more rules to the workload, deploying the workload across the one or more cloud platforms. In some embodiments, a deployment recommendation may be provided prior to deployment of the workload. In some embodiments, a social collaboration workflow may be triggered whereby one or more users are provided the deployment recommendation.

Abstract: The present disclosure relates to a framework to improve the predictability of performance problems in an enterprise application. In one embodiment, the present disclosure produces accurate predictive analysis by taking into consideration all the factors including workload, historical performance, environments, configurations, and data volumes etc. which are significant for determining the future performance characteristics of the system. In addition, the present disclosure calculates the actual impact of the determined performance characteristics on the business.

Abstract: The present disclosure relates to a framework to improve the predictability of performance problems in an enterprise application. In one embodiment, the present disclosure produces accurate predictive analysis by taking into consideration all the factors including workload, historical performance, environments, configurations, and data volumes etc. which are significant for determining the future performance characteristics of the system. In addition, the present disclosure calculates the actual impact of the determined performance characteristics on the business.