Abstract: Certain example embodiments relate to systems and/or methods for cloud-based event-driven integration, which in essence inverts the current point-to-point integration pattern by using an event-driven system in its place. Certain example embodiments transform and normalize integration patterns in connection with an underlying framework that helps decouple data producers from data consumers and advantageously allows additional systems to simply “plug into” the framework. Data from event sources is transformed into an event with a well-defined event type that may be picked up by an event sink, transformed into a format relevant for that event sink, and subsequently processed.

Abstract: A method and system for staging in a cloud environment defines a default stage for integration flows. An integration flow is defined by (a) stages including (i) a live stage to follow the default stage, (ii) additional stages between the default and live stages, and (b) endpoint definitions for the live and additional stages. In response to an instruction to promote the integration flow, the integration flow is load balanced by allocating each stage to execution environment(s). Then, the integration flow is run in the execution environment(s). The load balancing includes, for each stage, (i) retrieving a list of execution environments which are available for execution of stages, (ii) selecting execution environment(s) on which to execute the stage and updating the list of available execution environments to indicate that the selected execution environment(s) is allocated, and (iii) storing the selected execution environment(s) as specific to the stage.

Abstract: Certain example embodiments relate to systems and/or methods for cloud-based event-driven integration, which in essence inverts the current point-to-point integration pattern by using an event-driven system in its place. Certain example embodiments transform and normalize integration patterns in connection with an underlying framework that helps decouple data producers from data consumers and advantageously allows additional systems to simply “plug into” the framework. Data from event sources is transformed into an event with a well-defined event type that may be picked up by an event sink, transformed into a format relevant for that event sink, and subsequently processed.

Abstract: A method and system for staging in a cloud environment defines a default stage for integration flows. An integration flow is defined by (a) stages including (i) a live stage to follow the default stage, (ii) additional stages between the default and live stages, and (b) endpoint definitions for the live and additional stages. In response to an instruction to promote the integration flow, the integration flow is load balanced by allocating each stage to execution environment(s). Then, the integration flow is run in the execution environment(s). The load balancing includes, for each stage, (i) retrieving a list of execution environments which are available for execution of stages, (ii) selecting execution environment(s) on which to execute the stage and updating the list of available execution environments to indicate that the selected execution environment(s) is allocated, and (iii) storing the selected execution environment(s) as specific to the stage.