DARE platform is a cloud-ready platform using Kubernetes and dockerized environments
MPI clusters are deployed On-demand on the cloud
Monitoring tools for job execution
Client-side library to help you interact with the platform. You can find the documentation here
Control your cloud resources using on-demand execution environments
Easy local installation following the given instructions
The DARE platform provides all the necessary tools to research developers to develop their scientific applications. Currently, we support two workflow languages, i.e. CWL and dispel4py
Check it outDARE comes with an integrating provenance service. During the workflow execution, provenance logs are saved and can be visualized afterwards using the sprov-viewer service.
Check it outResearch developers can interact with the DARE platform by making use of its RESTful API. DARE API is a composition of RESTful Web APIs exposed by the containerized versions of the underlying DARE platform components.
Check it outResearch developers can register their workflows in the respective registries (dispel4py and CWL) and then refer to them by name. This functionality enables code reusability and sharing!
Check it out