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SkillsCast

Using Containers And Kubernetes To Capitalize On Hybrid Cloud For HPC Workloads

26th September 2018 in London at CodeNode

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The question is no longer whether to migrate HPC workloads to the cloud, but where and how to start. While the industry has been discussing migrating workloads to the cloud since the launch of AWS in 2006, concerns about latency, regulatory issues and lock-in have slowed HPC adoption until recently. In the past year, new application deployment models, cloud-service offerings, and advances in management software have emerged to help serve as a valuable tool for HPC workloads looking to transition to the cloud. Containers in particular have been distinguished as breakthrough technology for IT professionals looking to move HPC workloads the cloud. In the past, HPC applications often relied on pre-requisites, such as specialized math libraries or various MPIs, making it tedious to move workloads to cloud-provider machine images without customization. With continued advances in virtualization and container technologies, like Docker and Kubernetes, HPC applications can be packaged along with dependencies, ultimately speeding deployment and side-stepping challenges related to version control and configuration management.

Fritz will share with you how IT professionals can leverage container technologies to move HPC workloads to the cloud and how containers can be used to build seamless hybrid cloud environments that support a wide variety of HPC workloads, provide a clear path to future cloud native environments and enable capabilities like cloud-bursting.

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Using Containers And Kubernetes To Capitalize On Hybrid Cloud For HPC Workloads

Fritz Ferstl

Fritz Ferstl brings 20 years of grid and cloud computing experience to Univa, and as the Chief Technology Officer he will help set technical vision while spearheading strategic alliances. Fritz, long regarded as the father of Grid Engine software and its forerunners Codine and GRD, ran the Grid Engine software business from within Sun Microsystems and Oracle for the past 10 years, taking it from an upstart technology to the most widely deployed workload management solution in some of the most challenging data center environments on the planet. Under Fritz's leadership Grid Engine software was open sourced and has grown a vibrant community.

SkillsCast

Please log in to watch this conference skillscast.

728657720 640

The question is no longer whether to migrate HPC workloads to the cloud, but where and how to start. While the industry has been discussing migrating workloads to the cloud since the launch of AWS in 2006, concerns about latency, regulatory issues and lock-in have slowed HPC adoption until recently. In the past year, new application deployment models, cloud-service offerings, and advances in management software have emerged to help serve as a valuable tool for HPC workloads looking to transition to the cloud. Containers in particular have been distinguished as breakthrough technology for IT professionals looking to move HPC workloads the cloud. In the past, HPC applications often relied on pre-requisites, such as specialized math libraries or various MPIs, making it tedious to move workloads to cloud-provider machine images without customization. With continued advances in virtualization and container technologies, like Docker and Kubernetes, HPC applications can be packaged along with dependencies, ultimately speeding deployment and side-stepping challenges related to version control and configuration management.

Fritz will share with you how IT professionals can leverage container technologies to move HPC workloads to the cloud and how containers can be used to build seamless hybrid cloud environments that support a wide variety of HPC workloads, provide a clear path to future cloud native environments and enable capabilities like cloud-bursting.

YOU MAY ALSO LIKE:

Thanks to our sponsors

About the Speaker

Using Containers And Kubernetes To Capitalize On Hybrid Cloud For HPC Workloads

Fritz Ferstl

Fritz Ferstl brings 20 years of grid and cloud computing experience to Univa, and as the Chief Technology Officer he will help set technical vision while spearheading strategic alliances. Fritz, long regarded as the father of Grid Engine software and its forerunners Codine and GRD, ran the Grid Engine software business from within Sun Microsystems and Oracle for the past 10 years, taking it from an upstart technology to the most widely deployed workload management solution in some of the most challenging data center environments on the planet. Under Fritz's leadership Grid Engine software was open sourced and has grown a vibrant community.

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