Expanding OpenNebula’s support for cloud bursting

Hybrid Cloud Strategy for Terradue’s Cloud Platform Users

Emmanuel Mathot OpenNebula Conference, Berlin – 3rd December 2014

Terradue Our Company

Provide computational science for researchers to study the earth system

-  Founded 2006 in Italy -  Earth Science start-up -  Head Office in Rome, 12 team members

-  Branch office in Oxford -  OpenNebula early adopter

Our customers Earth sciences

Mécanique Appliquée et Sciences de l'Environnement

MERIS MKL3 User Guide

Copyright � 2006 ACRI-ST

MERIS

Medium Resolution Imaging Spectrometer

ENVISAT-1 Ground Segment

MERIS Level 3 - MKL3 User Guide

MERIS average water vapour in 2005

Title: MERIS Level-3 MKL3 User Guide

Doc. no: P0-RS-ACR-GS-2001

Issue: 1

Revision: 1

Date: June 14, 2006

Climate Change

Ocean ecosystem

Land Use

Atmosphere Analysis

GeoHazards monitoring

Platform as a Service

Platform as a Service

•  Producer Decks (hybrid)

•  Deploy Cloud Appliance clusters on public clouds

•  Elastic Catalogues •  S3 data nodes

•  Templates (hybrid)

• Community Hubs on private cloud

• Define OneFlow services

•  Hadoop Sandboxes on private cloud

•  Build Applications

Developers Integrators

Producers Data Providers

Tailored contextualization

Terradue PaaS Operator

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20

40

60

80

100

120

#Users

Last year

Operations & Support

Operations Infrastructure management

-  Configuration Management -  Consistency -  Integrity -  Code Paradigm

-  System Monitoring -  Operational readiness -  Services recovery -  notifications

Operations Network & Access

-  Dynamic DNS management -  Hostname allocation

-  Network Isolation & Security -  Open vSwitch

-  Network access -  OpenVPN Access Server

-  User profile certification -  LDAP + X.509 auth

Cloud bursting jclouds4one

jclouds4one

jclouds-cli

OpenNebula

Integration DotNet4one

Terradue Laboratories

Projects last week example

Ocean Model Processing Benchmarking experiment 2 use cases : -  Provision 30 nodes hadoop cluster (m3.xlarge with 4

CPUs running 30 parallel tasks, exploiting MPI (4 threads on each node);

-  Provision 100 nodes hadoop cluster ( with 1 CPUs running 100 parallel tasks

Projects application example

Projects application example

Terradue ecosystem

Future work in one

-  Invoicing automation based on accounting

-  “Tailorable” dashboard integrating access and monitoring running services

-  OpenID/Oauth

Terradue

terradue.github.io

twitter.com/terradue

terradue.com

https://github.com/Terradue/DotNet4One https://github.com/Terradue/jclouds4one https://challenges.esa.int/

Terradue CEO Fabrice Brito Product Manager Hervé Caumont Solutions Architect Emmanuel Mathot