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Harness AWS for research and education through the RosettaHUB e-research platform

Speakers: Karim Chine and Latifa Bouabdillah -- RosettaHub, London

The RosettaHUB technology makes it very easy for researchers, educators and students to harness public and private clouds and democratizes infrastructure-as-a-Service, HPC and big data. It provides research groups and classrooms of students with a fully managed access to Amazon’s public cloud, with automated on-boarding, advanced governance and monitoring capabilities, cost optimization and multi-tenant administration. Students, educators and researchers access AWS through the RosettaHUB virtual e-Research environment which fosters reproducibility and sharing and promotes a culture of Open Science and Open Innovation. The RosettaHUB workbench helps distributed teams access scientific data in the cloud and collaborate in real-time using the most advanced data science, big data, HPC and machine learning tools and infrastructures.

The platform aims also to help Academics leverage the power of Infrastructure-as-Code and the portability of container technologies, and fosters a culture of ResOps and EduOps that could impact research and education in the same way DevOps has deeply impacted the IT landscape in recent years. RosettaHUB substantially accelerates the building of scientific data analysis pipelines as Researchers can leverage the existing catalog of scientific cloud artifacts and Scientific-Services-as-Code. The pipelines can be easily scaled up in a highly cost-effective manner using instances from the Spot Market and converted into production-ready services and applications in a short time. Any scientific infrastructure built under this framework on AWS can be very easy to share with other research groups who can reproduce it in one click. RosettaHUB helps creating scalable Science Gateways that expose the scientific infrastructures and services through interactive Web Applications easy harness by various audiences.

The tutorial attendees will learn about RosettaHUB’s concepts and will receive accounts on RosettaHUB and AWS with credits to practice the following:

  • Launch RosettaHUB formations(cloud-agnostic-services-templates), work with the real-time collaborative cloud workbench. Access data storages and containers. Create snapshots of machines and formations. Share artifacts with other RosettaHUB users.
  • Create GPU-enabled deep learning environments to teach Machine Learning at scale on AWS.
  • Create big data environments to work with Spark/Hadoop in collaboration.
  • Practice the administration and multi-tenancy capabilities to manage AWS pools of accounts, share artifacts, assign roles, monitor resources and budget.
  • Create Virtual Labs using Python and experiment with the Virtual-Labs-as-Code capabilities.
  • Create reactive scientific microservices using RosettaHUB containers, macros and meta-cloud web services.