Karvdash: High-productivity and performance software stack for data science on Kubernetes
Karvdash is a frontend for facilitating data science on Kubernetes.
It provides a web-based graphical user interface to coordinate accesses to the platform, orchestrate service execution in containers from pre-defined templates (including Zeppelin and Jupyter notebooks), and interact with collections of data that are automatically attached to application containers when launched; all in a secure manner.
Zeppelin notebooks embed a custom EVOLVE-specific interpreter, for simplifying the definition and deployment of workflows.
Karvdash exploits the available infrastructure and extends the software stack towards the user, imposing a specific usage methodology,
which has been tailored to high-performance Big Data analytics applications.
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EVOLVE has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 825061.