Abstract: A method, computer program product, and computer system for obtaining an input for a build. An initial orchestration job scheduler object may be obtained based upon the input for the build. A directed acyclic graph (DAG) may be determined based upon, at least in part, a dependency engine preprocessing. The DAG may be stored in a format. An array of steps may be built based upon, at least in part, the object, wherein the DAG may be translated from the object into a format readable by an initial orchestration job scheduler to build the array of steps. The array of steps may be executed to perform the build.

Abstract: A method, computer program product, and computer system for obtaining an input for a build. An initial orchestration job scheduler object may be obtained based upon the input for the build. A directed acyclic graph (DAG) may be determined based upon, at least in part, a dependency engine preprocessing. The DAG may be stored in a format. An array of steps may be built based upon, at least in part, the object, wherein the DAG may be translated from the object into a format readable by an initial orchestration job scheduler to build the array of steps. The array of steps may be executed to perform the build.

Abstract: A computer program product for capturing real time behavior patterns of individual students to track the students progress and development of his/her true potential, the computer program product comprising a tangible computer readable storage medium having computer readable program embodied therein, the computer readable program code configured to: a first interface with the layout of a classroom and students; a second interface with attendance indicators; a third interface with academic indicators; and a fourth interface with behavior indicators; wherein the second interface, third interface and fourth interface are in communication with the first interface such that the real time behavior patterns of the attendance, academic and behavior indicators of the individual students in the classroom are captured and complex output of the real time behavior patterns is generated to track the students progress.