Abstract: The present disclosure pertains to a system configured to generate output data from a series of configurable cloud-computing processing operations. Some embodiments may; obtain, from a first database, data in a first format; process, in a first stage, the obtained data such that the obtained data is normalized; process, in a second stage, data in a second format different from the first format using a first set of cloud-computing devices; and detect, via a user interface, a first selection of at least two processing operations, the first selection being made from among a plurality of available processing operations. Each of the processing stages may include input data, a processing operation, and output data.

Abstract: Systems and methods allow users to leverage multiple disparate cloud solutions, offered by disparate service providers, in a unified and cohesive manner. A system includes an engine configured to receive performance metrics from two or more disparate cloud services, select target resources among the two or more disparate cloud services to run tasks based on the performance metrics, a multiservice load balancing scheme, and task parameters. Resources can be scaled up or down in the two or more disparate cloud services based on task loads.

Abstract: Systems and methods allow users to leverage multiple disparate cloud solutions, offered by disparate service providers, in a unified and cohesive manner. A system includes an engine configured to allocate a task among two or more disparate cloud services according to a running mode. The two or more disparate cloud services include a dedicated solution and a shared solution. The running modes include a dedicated mode configured to direct the tasks to the dedicated solution, a serverless mode configured to direct the tasks to the shared solution, and a hybrid mode configured to direct the tasks to a combination of the dedicated solution and the shared solution.

Abstract: Systems and methods allow users to leverage multiple disparate cloud solutions, offered by disparate service providers, in a unified and cohesive manner. A system includes a task repository configured to store a plurality of task parameters, wherein the task parameters cause one or more tasks to run on cloud services when provided to the cloud services including a dedicated solution and a shared solution, wherein the task parameters include common parameters and proprietary parameters, wherein the common parameters are common to two or more disparate cloud services, and wherein the proprietary parameters are unique to one of the cloud services. The system also includes an interface configured to receive task input including the plurality of task parameters.

Abstract: Systems and methods allow users to leverage multiple disparate cloud solutions, offered by disparate service providers, in a unified and cohesive manner. A system includes an image database configured to store a virtual machine image in a stored image format and an engine configured to allocate a task among two or more disparate cloud services. The engine is further configured to convert the virtual machine image from the stored image format to a deployed image format, wherein the deployed image format conforms to formatting for one of the two or more disparate cloud services, and deploy the virtual machine image in the deployed image format to a virtual machine instance of the one of the two or more disparate cloud services.

Abstract: The present disclosure pertains to a system configured to generate output data from a series of configurable cloud-computing processing operations. Some embodiments may: obtain, from a first database, data in a first format; process, in a first stage, the obtained data such that the obtained data is normalized; process, in a second stage, data in a second format different from the first format using a first set of cloud-computing devices; and detect, via a user interface, a first selection of at least two processing operations, the first selection being made from among a plurality of available processing operations. Each of the processing stages may include input data, a processing operation, and output data.

Abstract: Systems and methods allow users to leverage multiple disparate cloud solutions, offered by disparate service providers, in a unified and cohesive manner. A system includes an engine configured to allocate a task among two or more disparate cloud services according to a running mode. The two or more disparate cloud services include a dedicated solution and a shared solution. The running modes include a dedicated mode configured to direct the tasks to the dedicated solution, a serverless mode configured to direct the tasks to the shared solution, and a hybrid mode configured to direct the tasks to a combination of the dedicated solution and the shared solution.

Abstract: Systems and methods allow users to leverage multiple disparate cloud solutions, offered by disparate service providers, in a unified and cohesive manner. A system includes an image database configured to store a virtual machine image in a stored image format and an engine configured to allocate a task among two or more disparate cloud services. The engine is further configured to convert the virtual machine image from the stored image format to a deployed image format, wherein the deployed image format conforms to formatting for one of the two or more disparate cloud services, and deploy the virtual machine image in the deployed image format to a virtual machine instance of the one of the two or more disparate cloud services.

Abstract: Systems and methods allow users to leverage multiple disparate cloud solutions, offered by disparate service providers, in a unified and cohesive manner. A system includes an engine configured to receive performance metrics from two or more disparate cloud services, select target resources among the two or more disparate cloud services to run tasks based on the performance metrics, a multiservice load balancing scheme, and task parameters. Resources can be scaled up or down in the two or more disparate cloud services based on task loads.

Abstract: Systems and methods allow users to leverage multiple disparate cloud solutions, offered by disparate service providers, in a unified and cohesive manner. A system includes a task repository configured to store a plurality of task parameters, wherein the task parameters cause one or more tasks to run on cloud services when provided to the cloud services including a dedicated solution and a shared solution, wherein the task parameters include common parameters and proprietary parameters, wherein the common parameters are common to two or more disparate cloud services, and wherein the proprietary parameters are unique to one of the cloud services. The system also includes an interface configured to receive task input including the plurality of task parameters.