Abstract: Systems, computer program products, and methods are described herein for self-adjusting robotic build infrastructure for software application development. The present disclosure is configured to receive a set of input parameters associated with the planned build; analyze the set of input parameters associated with the planned build; determine a robotic build infrastructure from a robotic build infrastructure database using the analyzed set of input parameters associated with the planned build; compile an image test of the planned build based on the robotic build infrastructure determined from the robotic build infrastructure database; validate the image test through a performance test; adjust the image test based on the analyzed set of input parameters and the performance test validation; initiate a final build of the robotic build infrastructure based on the adjusted image test; and certify the final build of the adjusted robotic build infrastructure.

Abstract: Systems and methods are provided herein for synchronizing content. In at least one embodiment audio content related to a live event is played utilizing an audio output device of a computing device. Supplemental data related to the live event is received. The supplemental data may be associated with a timestamp corresponding to a particular time during the live event to which the supplemental data relates. A current play time of the audio content may be determined. The supplemental data may be stored based at least in part on a comparison of the timestamp and the current play time. The supplemental data may be presented when the timestamp corresponds to the current play time of the audio content being played.

Abstract: An improved data access layer (DAL) architecture enables database connection pooling or multiplexing across machine boundaries. Drivers installed at web servers communicate with servers in a DAL. The DAL servers present a virtual database to the web servers, and the DAL servers in turn open connections to a set of physical databases. DAL servers are able to recycle connections that are no longer needed, or to move available connections from one DAL server to another, so as to provide improved efficiency in connection management, burst management, and peak load management. Scalability is thereby improved, and more efficient use of system resources is facilitated.

Abstract: An improved data access layer (DAL) architecture enables database connection pooling or multiplexing across machine boundaries. Drivers installed at web servers communicate with servers in a DAL. The DAL servers present a virtual database to the web servers, and the DAL servers in turn open connections to a set of physical databases. DAL servers are able to recycle connections that are no longer needed, or to move available connections from one DAL server to another, so as to provide improved efficiency in connection management, burst management, and peak load management. Scalability is thereby improved, and more efficient use of system resources is facilitated.

Abstract: An improved data access layer (DAL) architecture enables database connection pooling or multiplexing across machine boundaries. Drivers installed at web servers communicate with servers in a DAL. The DAL servers present a virtual database to the web servers, and the DAL servers in turn open connections to a set of physical databases. DAL servers are able to recycle connections that are no longer needed, or to move available connections from one DAL server to another, so as to provide improved efficiency in connection management, burst management, and peak load management. Scalability is thereby improved, and more efficient use of system resources is facilitated.