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UID:f185f5d0-9977-49ac-80d0-8257aee93cb5@support.access-ci.org
DTSTAMP:20230509T121257Z
DTSTART:20230720T180000Z
DTEND:20230720T190000Z
SUMMARY:Expanse: Scientific Computing with Kubernetes
DESCRIPTION:Kubernetes is a popular container orchestration system that has
  seen massive adoption in both industry and academic IT departments. Long 
 available in the Clouds, it has recently also become the main interface fo
 r several deployed and upcoming large-scale scientific compute facilities,
  like the Prototype National Research Platform (PNRP). The aim of this web
 inar is to provide science users that currently rely on traditional batch 
 systems, like SLURM and HTCondor, a solid foundation that will allow them 
 to effectively use Kubernetes-managed resources. The main focus is enablin
 g the porting of batch-oriented scientific workflows, but we will also cov
 er additional Kubernetes concepts not typically present in batch systems t
 hat could potentially be useful for science users. \n\n-----\nInstructor\
 nIgor Sfiligoi\nLead Scientific Software Developer and Researcher, SDSC\n\
 nOver the years, Igor Sfiligoi has been engaged in the computing community
  across a wide breadth of roles, participating among others as researcher,
  operator, developer, architect, and manager. He has been working in both 
 academia and industry, which helps him appreciate the variety of problems 
 computers help to solve. He has been working with both systems that suppor
 t tightly coupled and worldwide-scale pleasantly parallel codes and realiz
 es that each approach has its own advantages and challenges. In his curren
 t role at SDSC he is putting his extensive knowledge to use across many sc
 ientific domains, spanning computational biology, fusion research, high en
 ergy physics and astrophysics.
URL:https://support.access-ci.org/events/7168
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