Abstract: A method includes collecting code development data associated with development of code files on a per user basis. A predicted code execution performance score is determined based on weighting one or more developer attributes captured in the code development data on the per user basis, the predicted code execution performance score indicative of a predicted likelihood of a code quality issue, where the one or more developer attributes are based at least in part on personnel data including a level of developer experience and a history of observed development activities of an associated developer from review data. One or more resources of one or more code execution servers associated with execution of selected files are predictively allocated based on the predicted code execution performance score. One or more code execution metrics are captured associated with executing selected files on the one or more code execution servers.

Abstract: A method includes collecting code development data associated with development of code files on a per user basis. A predicted code execution performance score is determined based on weighting one or more developer attributes captured in the code development data on the per user basis, the predicted code execution performance score indicative of a predicted likelihood of a code quality issue, where the one or more developer attributes are based at least in part on personnel data including a level of developer experience and a history of observed development activities of an associated developer from review data. One or more resources of one or more code execution servers associated with execution of selected files are predictively allocated based on the predicted code execution performance score. One or more code execution metrics are captured associated with executing selected files on the one or more code execution servers.

Abstract: A system includes one or more code development servers operable to monitor development of code files and one or more code execution servers operable to execute the code files. One or more code analysis tools of the system include instructions that when executed by at least one processing device result in collecting code development data associated with development of the code files on a per user basis and determining a predicted code execution performance score of one or more selected files of the code files based on the code development data. One or more resources of the one or more code execution servers associated with execution of the one or more selected files are predictively allocated based on a predicted code execution performance score. One or more code execution metrics are captured associated with executing the one or more selected files on the one or more code execution servers.

Abstract: Systems, methods, and articles of manufacture provide for simplified and partially-automated data operation services, such as data transfer, storage, management, and analysis operations. Non-IT data consumers may, for example, initiate such data operations by providing only a subset of the required parameters for the operation, with the specially-coded system automatically fetching any missing parameters or values from one or more metadata stores and initiating the requested operation.

Abstract: Systems, apparatus, methods, and articles of manufacture provide for managing and presenting historical environment information as virtual content in augmented reality (AR) environments and applications.

Abstract: Systems, methods, and articles of manufacture provide for simplified and partially-automated data operation services, such as data transfer, storage, management, and analysis operations. Non-IT data consumers may, for example, initiate such data operations by providing only a subset of the required parameters for the operation, with the specially-coded system automatically fetching any missing parameters or values from one or more metadata stores and initiating the requested operation.

Abstract: Systems, methods, and articles of manufacture provide for simplified and partially-automated data operation services, such as data transfer, storage, management, and analysis operations. Non-IT data consumers may, for example, initiate such data operations by providing only a subset of the required parameters for the operation, with the specially-coded system automatically fetching any missing parameters or values from one or more metadata stores and initiating the requested operation.

Abstract: Systems, apparatus, methods, and articles of manufacture provide for managing and presenting historical environment information as virtual content in augmented reality (AR) environments and applications.

Abstract: A system includes one or more code development servers operable to monitor development of code files and one or more code execution servers operable to execute the code files. One or more code analysis tools of the system include instructions that when executed by at least one processing device result in collecting code development data associated with development of the code files on a per user basis and determining a predicted code execution performance score of one or more selected files of the code files based on the code development data. One or more resources of the one or more code execution servers associated with execution of the one or more selected files are predictively allocated based on a predicted code execution performance score. One or more code execution metrics are captured associated with executing the one or more selected files on the one or more code execution servers.

Abstract: A system includes a network interface, a processing device, and a memory device. The memory device stores instructions for accessing a first log file of a first format type from a first server and converting the first log file to a first record in a shared data-interchange format. A second log file of a second format type is accessed from a second server. The second log file is converted to a second record in the shared data-interchange format, and instances of the first and second record are collected over a period of time. A resource allocation of the first server and the second server is analyzed based on the instances of the first record and the second record. A resource allocation adjustment request is transmitted to one or more of the server systems based on a predicted trend of the resource allocation of the first and second server.

Abstract: Systems, methods, and articles of manufacture provide for simplified and partially-automated data operation services, such as data transfer, storage, management, and analysis operations. Non-IT data consumers may, for example, initiate such data operations by providing only a subset of the required parameters for the operation, with the specially-coded system automatically fetching any missing parameters or values from one or more metadata stores and initiating the requested operation.

Abstract: A system includes a network interface, a processing device, and a memory device. The memory device stores instructions for accessing a first log file of a first format type from a first server and converting the first log file to a first record in a shared data-interchange format. A second log file of a second format type is accessed from a second server. The second log file is converted to a second record in the shared data-interchange format, and instances of the first and second record are collected over a period of time. A resource allocation of the first server and the second server is analyzed based on the instances of the first record and the second record. A resource allocation adjustment request is transmitted to one or more of the server systems based on a predicted trend of the resource allocation of the first and second server.