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DTSTAMP:20260616T022227Z
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DESCRIPTION:Educators: \nAlexander Sczyrba\, Peter Belmann\, Sebastian Jün
 emann\, Jan Krüger\, Alex Walender (BiGi)\n\nLocation: \nHeidelberg GCB\n
 \nDate: \n16th September\n\nContent:\nThe need for high-throughput data an
 alysis has grown tremendously since the introduction of next-generation se
 quencing (NGS) platforms. The massive amount of data produced creates a ne
 w class of resource barriers to be overcome including limited bandwidth\, 
 storage volume and compute power. Small research labs can hardly cope with
  the data generated. A solution to the mere resource problem are cloud com
 puting environments as virtually unlimited and flexible resources.\n\nThe 
 de.NBI Cloud is a full academic cloud federation\, providing compute and s
 torage re-sources free of charge for academic users. It provides a powerfu
 l IT infrastructure in combination with flexible bioinformatics workflows 
 and analysis tools to the life science community in Germany. The de.NBI Cl
 oud offers reliable IT security concepts and user access rules to en-sure 
 secure data access and storage. It closes the gap of missing computational
  resources for life science researchers in Germany.\n\nThe de.NBI Cloud pr
 oject started in 2016 as collaboration between the universities of Bielefe
 ld\, Freiburg\, Gießen\, Heidelberg and Tübingen. The close cooperation 
 with the ELIXIR cloud ensures the connectivity and sustainability in the i
 nternational context.\n\nThe de.NBI Cloud operates the major service level
 s:\n• Infrastructure as a Service (IaaS)\nsuited for experienced power u
 sers that want full control over the compute environment\; plain access to
  virtualized infrastructure\n• Platform as a Service (PaaS)\nsuited for 
 experienced users who utilize fully configured infrastructure for the depl
 oyment of custom workflows\n• Software as a Service (SaaS)\nsuited for u
 sers without cloud experience who can use virtual machines (VMs) of pre-co
 nfigured\, state-of-the-art analysis tools and pipelines\n\nCloud computin
 g requires initial efforts and skills to port existing workflows to these 
 new mod-els. The same holds true for emerging programming models. Cloud en
 vironments can be difficult to use by scientists with little system admini
 stration and programming skills. Challenges exist in managing cloud enviro
 nments as there is a lack of tools which simplify accessing and using thes
 e environments and helping bootstrap users by providing basic software sta
 cks.\n\nKeywords:\nOpenStack\, Cloud Computing\, virtual machines (VMs)\n\
 nTools:\nOpenStack\, BiBiGrid\n\nPrerequisites:\nThe participants should b
 ring their own laptop computers. The goal of the tutorial is to provide a 
 fundamental introduction to the underlying OpenStack infrastructure. Targe
 t audience are bioinformaticians or experienced computational data analyst
 s who would like to utilize scalable and flexible cloud resources for thei
 r research. Participants will learn how to setup a cloud project and work 
 with virtual instances\, and how to efficiently utilize cloud computing re
 sources. We will also address networking and security issues\, demonstrate
  how to deploy bioinformatics tools in the cloud\, and how to set up a cus
 tomized compute cluster in a cloud environment using BiBiGrid. All topics 
 will be covered by short talks and practical hands-on sessions.
LOCATION:Heidelberg
SUMMARY:Getting started with the de.NBI Cloud - GCB 2019 
URL;VALUE=URI:https://www.denbi.de/training/565-introduction-into-the-de-nb
 i-cloud-gcb-2019
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