Abstract: Various embodiments of the present technology generally relate to the characterization and improvement of software applications. More specifically, some embodiments relate to systems and methods for modeling code behavior and generating characterizations of the code behavior and interrelations based on the code models. Some embodiments include user interfaces that provide views into the characterizations and interrelations of the application features and components that can give developers insights quickly and efficiently into applications which may be used for future developments and modifications to the application and to avoid introducing bugs into the application.

Abstract: Various embodiments of the present technology generally relate to the characterization and improvement of software applications. More specifically, some embodiments relate to systems and methods for modeling code behavior and generating characterizations of the code behavior and interrelations based on the code models. Some embodiments include user interfaces that provide views into the characterizations and interrelations of the application features and components that can give developers insights quickly and efficiently into applications which may be used for future developments and modifications to the application and to avoid introducing bugs into the application.

Abstract: Various embodiments of the present technology generally relate to the characterization and improvement of software applications. More specifically, some embodiments relate to systems and methods for modeling code behavior and generating new versions of the code based on the code behavior models. In some embodiments, a method of improving a codebase includes recording a run of the existing code, characterizing the code behavior via one or more models, prototyping new code according to a target language and target environment, deploying the new code to the target environment, and comparing the behavior of the new code to the behavior of the existing code. In some implementations, generating new code based on the behavior models includes using one or more machine learning techniques for code generation based on the target language and environment.

Abstract: Various embodiments of the present technology generally relate to the characterization and improvement of software applications. More specifically, some embodiments relate to systems and methods for modeling code behavior and generating new versions of the code based on the code behavior models. In some embodiments, a method of improving a codebase includes recording a run of the existing code, characterizing the code behavior via one or more models, prototyping new code according to a target language and target environment, deploying the new code to the target environment, and comparing the behavior of the new code to the behavior of the existing code. In some implementations, generating new code based on the behavior models includes using one or more machine learning techniques for code generation based on the target language and environment.

Abstract: Various embodiments of the present technology generally relate to the characterization and improvement of software applications. More specifically, some embodiments relate to systems and methods for modeling code behavior and generating new versions of the code based on the code behavior models. In some embodiments, a method of improving a codebase includes recording a run of the existing code, characterizing the code behavior via one or more models, prototyping new code according to a target language and target environment, deploying the new code to the target environment, and comparing the behavior of the new code to the behavior of the existing code. In some implementations, generating new code based on the behavior models includes using one or more machine learning techniques for code generation based on the target language and environment.

Abstract: Various embodiments of the present technology generally relate to the characterization and improvement of software applications. More specifically, some embodiments relate to systems and methods for modeling code behavior and generating new versions of the code based on the code behavior models. In some embodiments, a method of improving a codebase includes recording a run of the existing code, characterizing the code behavior via one or more models, prototyping new code according to a target language and target environment, deploying the new code to the target environment, and comparing the behavior of the new code to the behavior of the existing code. In some implementations, generating new code based on the behavior models includes using one or more machine learning techniques for code generation based on the target language and environment.

Abstract: Various embodiments of the present technology generally relate to the characterization and improvement of software applications. More specifically, some embodiments relate to systems and methods for modeling code behavior and generating new versions of the code based on the code behavior models. In some embodiments, a method of improving a codebase includes recording a run of the existing code, characterizing the code behavior via one or more models, prototyping new code according to a target language and target environment, deploying the new code to the target environment, and comparing the behavior of the new code to the behavior of the existing code. In some implementations, generating new code based on the behavior models includes using one or more machine learning techniques for code generation based on the target language and environment.

Abstract: Various embodiments of the present technology generally relate to the characterization and improvement of software applications. More specifically, some embodiments relate to systems and methods for modeling code behavior and generating characterizations of the code behavior and interrelations based on the code models. Some embodiments include user interfaces that provide views into the characterizations and interrelations of the application features and components that can give developers insights quickly and efficiently into applications which may be used for future developments and modifications to the application and to avoid introducing bugs into the application.

Abstract: Various embodiments of the present technology generally relate to the characterization and improvement of software applications. More specifically, some embodiments relate to systems and methods for modeling code behavior and generating new versions of the code based on the code behavior models. In some embodiments, a method of improving a codebase includes recording a run of the existing code, characterizing the code behavior via one or more models, prototyping new code according to a target language and target environment, deploying the new code to the target environment, and comparing the behavior of the new code to the behavior of the existing code. In some implementations, generating new code based on the behavior models includes using one or more machine learning techniques for code generation based on the target language and environment.

Abstract: Various embodiments of the present technology generally relate to the characterization and improvement of software applications. More specifically, some embodiments relate to systems and methods for modeling code behavior and generating new versions of the code based on the code behavior models. In some embodiments, a method of improving a codebase includes recording a run of the existing code, characterizing the code behavior via one or more models, prototyping new code according to a target language and target environment, deploying the new code to the target environment, and comparing the behavior of the new code to the behavior of the existing code. In some implementations, generating new code based on the behavior models includes using one or more machine learning techniques for code generation based on the target language and environment.

Abstract: Disclosed embodiments relate to secretless and secure communications with access-protected network resources. Techniques include identifying a request from a client service to access an access-protected network resource; automatically identifying an identity token uniquely associated with the client service for enabling autonomous authentication of the client service using the identity token; providing, from a secretless connection broker to an authentication credential provider, the identity token uniquely associated with the client service; receiving, from the authentication credential provider, based on the identity token and conditional on successful authentication of the client service, a connection credential; establishing a secure connection with the access-protected network resource using the connection credential; and exchanging secure communications with the access-protected network resource.

Abstract: An access control service to provide access control for operations between resources and/or between resources and users in a cloud computing environment. The access control service receives a request to perform an operation. The requested operation could be initiated by a resource with respect to another resource. The requested operation could also be initiated by a user with respect to a resource. The access control service determines whether the requested operation is permitted. If the requested operation is permitted, the access control service provides the credentials required to perform the requested operation.

Abstract: To provide enhanced operation of computing systems to control access to audit logging resources by virtual machines, various systems, apparatuses, methods, and software are provided herein. In a first example, a method of operating a computing system is provided. The method includes receiving requests for audit credentials from virtual machines, and responsively providing individualized audit credentials to the virtual machines based at least on identities of the virtual machines. The method also includes, in the audit system, authorizing storage of audit data transferred by the virtual machines based at least on the individualized audit credentials accompanying the audit data. The method also includes, in the authorization system, selectively de-authorizing one or more of the virtual machines and reporting information regarding the de-authorized one or more of the virtual machines to the one or more audit systems.

Abstract: To provide enhanced operation of virtualized computing systems, various systems, apparatuses, methods, and software are provided herein. In a first example, a method of operating a computing system to control access to data resources by virtual machines is provided. The method includes receiving an access token and an instantiation command from an end user system. Responsive to the instantiation command, the method includes instantiating a virtual machine identified by the instantiation command using the access token as user data for the virtual machine during instantiation. The method also includes, in the virtual machine, executing a security module responsive to instantiation that transfers the access token for delivery to an authorization system, receiving credentials responsive to the access token, and accessing a data resource using the credentials.

Abstract: To provide enhanced operation of virtualized computing systems, various systems, apparatuses, methods, and software are provided herein. In a first example, a method of operating a computing system to control access to data resources by virtual machines is provided. The method includes receiving an access token and an instantiation command from an end user system. Responsive to the instantiation command, the method includes instantiating a virtual machine identified by the instantiation command using the access token as user data for the virtual machine during instantiation. The method also includes, in the virtual machine, executing a security module responsive to instantiation that transfers the access token for delivery to an authorization system, receiving credentials responsive to the access token, and accessing a data resource using the credentials.

Abstract: To provide enhanced operation of computing systems to control access to audit logging resources by virtual machines, various systems, apparatuses, methods, and software are provided herein. In a first example, a method of operating a computing system is provided. The method includes receiving requests for audit credentials from virtual machines, and responsively providing individualized audit credentials to the virtual machines based at least on identities of the virtual machines. The method also includes, in the audit system, authorizing storage of audit data transferred by the virtual machines based at least on the individualized audit credentials accompanying the audit data. The method also includes, in the authorization system, selectively de-authorizing one or more of the virtual machines and reporting information regarding the de-authorized one or more of the virtual machines to the one or more audit systems.

Abstract: An access control service to provide access control for operations between resources and/or between resources and users in a cloud computing environment. The access control service receives a request to perform an operation. The requested operation could be initiated by a resource with respect to another resource. The requested operation could also be initiated by a user with respect to a resource. The access control service determines whether the requested operation is permitted. If the requested operation is permitted, the access control service provides the credentials required to perform the requested operation.

Abstract: To provide enhanced operation of virtualized computing systems, various systems, apparatuses, methods, and software are provided herein. In a first example, a method of operating a computing system to control access to data resources by virtual machines is provided. The method includes receiving an access token and an instantiation command from an end user system. Responsive to the instantiation command, the method includes instantiating a virtual machine identified by the instantiation command using the access token as user data for the virtual machine during instantiation. The method also includes, in the virtual machine, executing a security module responsive to instantiation that transfers the access token for delivery to an authorization system, receiving credentials responsive to the access token, and accessing a data resource using the credentials.