Abstract: Embodiments of the present invention provide a system for creating configurational blocks used for building continuous real-time software logical sequences. The system is configured for creating a set of configurational blocks associated with building one or more real-time software logical sequences, displaying the set of configurational blocks, via a graphical user interface to a user, allowing the user to select one or more configurational blocks from the set of configuration blocks, receiving the one or more configurational blocks and one or more links associated with connection of the one or more configurational blocks from the user, via the graphical user interface, and generating a continuous real-time software logical sequence based on the one or more configurational blocks and the one or more links received from the user.

Abstract: A system is provided for monitoring computing server performance using an artificial intelligence-based plugin. In particular, the system may be configured to continuously aggregate computing performance metric data of a computing device in the network, such as a server. The system may analyze the performance metric data using an artificial intelligence-based process to identify the hardware and/or software layers affected by computing workloads. Based on identifying the affected layers, the system may predict the impact of future workloads on the server and, based on the predictions, generate one or more recommendations for remediating server outages or downtime which may be caused by unanticipated volumes of network traffic, system calls, and the like. In this way, the system may provide an efficient way to optimize the use of computing resources within the network environment.

Abstract: A system is provided for monitoring computing server performance using an artificial intelligence-based plugin. In particular, the system may be configured to continuously aggregate computing performance metric data of a computing device in the network, such as a server. The system may analyze the performance metric data using an artificial intelligence-based process to identify the hardware and/or software layers affected by computing workloads. Based on identifying the affected layers, the system may predict the impact of future workloads on the server and, based on the predictions, generate one or more recommendations for remediating server outages or downtime which may be caused by unanticipated volumes of network traffic, system calls, and the like. In this way, the system may provide an efficient way to optimize the use of computing resources within the network environment.

Abstract: Embodiments of the present invention provide a system for creating configurational blocks used for building continuous real-time software logical sequences. The system is configured for creating a set of configurational blocks associated with building one or more real-time software logical sequences, displaying the set of configurational blocks, via a graphical user interface to a user, allowing the user to select one or more configurational blocks from the set of configuration blocks, receiving the one or more configurational blocks and one or more links associated with connection of the one or more configurational blocks from the user, via the graphical user interface, and generating a continuous real-time software logical sequence based on the one or more configurational blocks and the one or more links received from the user.