Abstract: Methods, systems, and devices supporting managing a data processing flow are described. A device (e.g., an application server) may host a cloud-based collaboration application, such as an interactive document application. The device may receive an instance of a data processing flow for a flow application based on a first user input to the cloud-based collaboration application. The device may receive the instance of the data processing flow from a source device hosting the flow application. The device may embed the flow application in the cloud-based collaboration application. The device may then receive user inputs to the data processing flow from multiple users collaborating on the same flow in the cloud-based collaboration application. Based on the user inputs, the device may modify the instance of the data processing flow and transmit the modified instance back to the source device to synchronize the data processing flow in the flow application.

Abstract: Containerized workflow engines executing metadata for user-defined applications are described. A system utilizes user selections for configuring a user-defined application to identify application definition metadata. The system stores the application definition metadata for the user-defined application into a persistent storage. A workflow engine executes in a software container in response to receiving user context details and an invocation of the user-defined application. The workflow engine retrieves the application definition metadata from the persistent storage. The workflow engine inputs the user context details and executes the application definition metadata. The workflow engine outputs a result based on executing the application definition metadata.

Abstract: Methods, systems, and devices supporting managing a data processing flow are described. A device (e.g., an application server) may host a cloud-based collaboration application, such as an interactive document application. The device may receive an instance of a data processing flow for a flow application based on a first user input to the cloud-based collaboration application. The device may receive the instance of the data processing flow from a source device hosting the flow application. The device may embed the flow application in the cloud-based collaboration application. The device may then receive user inputs to the data processing flow from multiple users collaborating on the same flow in the cloud-based collaboration application. Based on the user inputs, the device may modify the instance of the data processing flow and transmit the modified instance back to the source device to synchronize the data processing flow in the flow application.