The INFN Cloud services are based on modular components and span the IaaS, PaaS and SaaS models for both computing and data. ​

  • All services are described by TOSCA templates (which can refer internally to other components such as Ansible playbooks, HELM charts, etc.).​
  • The services can be deployed via the INFN Cloud Dashboard or via a command line interface:​
    • Automatically by the INFN Cloud Orchestrator on one of the federated Cloud infrastructures, depending on resource availability and policies.​
    • Manually by a user on a specific federated Cloud infrastructure.

Service Catalogue

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Image Compute Services

A list of services that enable a specific cloud technology

Image Analytics

A collection of ad-hoc solutions for analytic purpose

Image Machine Learning

List of ready-to-use Machine Learning services

Image Data Services

Data management and storage services

Virtual Machine
Launch a compute node getting the IP and SSH credentials to access via ssh

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Docker-compose
Run a docker compose file fetched from the specified URL

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Apache Mesos cluster
Apache Mesos abstracts CPU, memory, storage, and other compute resources away from machines (physical or virtual)

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RStudio
RStudio is an integrated development environment (IDE) for R.

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Jupyter with persistence for Notebooks
Run Jupyter on a single VM enabling Notebooks persistence

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Working Station for Machine Learning INFN (ML_INFN)
Run a single VM with all the ML-INFN environment exposing both ssh access and Jupyter

Sync&Share aaS
The INFN Cloud Sync & Share as a Service is based on the popular ownCloud storage solution.