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Early adopters report "easier replication, faster deployment and lower configuration and operating costs" of applications that involve Docker containers - an open platform that allows developers and sysadmins to build, ship and execute distributed applications.
Not surprisingly then, a groundswell of organizations are interested in evaluating Docker containers in proof-of-concept initiatives and/or pilot projects. The transition to production use, however, introduces additional requirements as Docker containers need to be incorporated into existing IT infrastructures and (ultimately) integrated into application workflows.
In answering the 5 Ws and one H, the aim of this webinar is to provide a technical overview and demonstration of Docker and to frame its use within the context of High Performance Computing and Big Data Analytics.
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Agenda:
• What are Docker containers - relative to physical machines, VMs and other containers?
• Who is responsible for Docker containers?
• Why and when were Docker containers created?
• What is the container ecosystem?
• Where is use of containers appropriate and not appropriate?
▸ HPC applications?
▸ Big Data Analytics? Specifically, Spark-based applications?
▸ On premise and in the cloud?
▸ Is running Docker different in HPC versus microservice-based applications?
• How can I make use of Docker containers?
▸ How can I containerize my application?
▸ How can I create, or make use of, a Docker image?
▸ How can I run Docker containers as I do other types of workloads?
• Getting Started and Next Steps
Speaker:
Ian Lumb, System Architect, Univa Corporation.
As an HPC specialist, Ian Lumb has spent about two decades at the global intersection of IT and science. Ian received his B.Sc. from Montreal's McGill University, and then an M.Sc. from York University in Toronto. Although his undergraduate and graduate studies emphasized geophysics, Ian's current interests include workload orchestration and container optimization for HPC to Big Data Analytics in clusters and clouds.
Video Download
Video is available in .mp4 format from http://www.univa.com/resources/webinar-docker101.php.
Leveraging Lean Six Sigma to Sustain HR Operations
Lean Six Sigma is a commonly accepted best practice process improvement methodology. In spite of this, it has yet to be consistently adopted by Human Resources. This presentation walks participants through using a lean approach to identify, justify, improve and validate value from an HR operational improvement initiative.
Bright Topics Webinar April 15, 2015 - Modernized Monitoring for Cluster and ...
Key takeaways:
How Bright Cluster Manager allows you to monitor HPC and Hadoop clusters
How Bright Cluster Manager allows you to monitor public and private clouds
How Bright Cluster Manager enables monitoring with alerts and health checks
How Bright Cluster Manager enables customized monitoring - including how to incorporate your own monitors
This recording (http://hubs.ly/y0JtjX0) includes live-product demonstrations of Bright Cluster Manager.
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The vodcast is available on our YouTube page: http://bit.ly/1GjfrYB. To stay on top of more exciting updates like this one, follow us on Twitter (@BrightComputing) or like our page on Facebook
(https://www.facebook.com/pages/Bright-Computing/1427367807556970?fref=ts).
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Early adopters report "easier replication, faster deployment and lower configuration and operating costs" of applications that involve Docker containers - an open platform that allows developers and sysadmins to build, ship and execute distributed applications.
Not surprisingly then, a groundswell of organizations are interested in evaluating Docker containers in proof-of-concept initiatives and/or pilot projects. The transition to production use, however, introduces additional requirements as Docker containers need to be incorporated into existing IT infrastructures and (ultimately) integrated into application workflows.
In answering the 5 Ws and one H, the aim of this webinar is to provide a technical overview and demonstration of Docker and to frame its use within the context of High Performance Computing and Big Data Analytics.
Learn all about Docker.
Agenda:
• What are Docker containers - relative to physical machines, VMs and other containers?
• Who is responsible for Docker containers?
• Why and when were Docker containers created?
• What is the container ecosystem?
• Where is use of containers appropriate and not appropriate?
▸ HPC applications?
▸ Big Data Analytics? Specifically, Spark-based applications?
▸ On premise and in the cloud?
▸ Is running Docker different in HPC versus microservice-based applications?
• How can I make use of Docker containers?
▸ How can I containerize my application?
▸ How can I create, or make use of, a Docker image?
▸ How can I run Docker containers as I do other types of workloads?
• Getting Started and Next Steps
Speaker:
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As an HPC specialist, Ian Lumb has spent about two decades at the global intersection of IT and science. Ian received his B.Sc. from Montreal's McGill University, and then an M.Sc. from York University in Toronto. Although his undergraduate and graduate studies emphasized geophysics, Ian's current interests include workload orchestration and container optimization for HPC to Big Data Analytics in clusters and clouds.
Video Download
Video is available in .mp4 format from http://www.univa.com/resources/webinar-docker101.php.
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Lean Six Sigma is a commonly accepted best practice process improvement methodology. In spite of this, it has yet to be consistently adopted by Human Resources. This presentation walks participants through using a lean approach to identify, justify, improve and validate value from an HR operational improvement initiative.
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Key takeaways:
How Bright Cluster Manager allows you to monitor HPC and Hadoop clusters
How Bright Cluster Manager allows you to monitor public and private clouds
How Bright Cluster Manager enables monitoring with alerts and health checks
How Bright Cluster Manager enables customized monitoring - including how to incorporate your own monitors
This recording (http://hubs.ly/y0JtjX0) includes live-product demonstrations of Bright Cluster Manager.
Bright Cluster Manager: A Comprehensive, Integrated Management Solution for P...
Fast on the uptake, Bright Cluster Manager received the Intel Cluster Ready Voyager Award in 2009. The synergy between Intel’s program and Bright’s software continues to this day. With the introduction of general-availability support for the Intel Xeon Phi in Bright Cluster Manager 6.1, Intel and Bright are already taking the initiative to broaden and deepen this program. At the highest level, Bright 6.1 allows stand-alone Intel Xeon Phi coprocessors to be provisioned, monitored and managed - thus extending what Bright has been able to do for Intel CPUs for some time. Bright support for this new coprocessor from Intel includes recompilation of the appropriate driver against the kernel at boot time, comprehensive networking plus various tailored metrics. Even more interesting, however, is Bright’s ability to incorporate individual Intel Xeon Phi coprocessors as bona fide devices from the more holistic perspective of the cluster. As first-class devices, the Intel Xeon Phi coprocessors are monitored and managed on an ongoing basis via the command-line and GUI interfaces in Bright, while also being accessible via the Bright APIs. Because this latest version of Bright also includes enhancements in the area of workload management, organizations can already take advantage of various execution models presented by the hybrid Intel Xeon - Intel Xeon Phi environment - from native to offload modes. Execution-model support targeted specifically to this hybrid CPU-coprocessor based architecture complements existing support that provides a problem-free environment for running compute jobs via Bright's Cluster Health Framework. Overall Bright Cluster Manager 6.1 literally delivers a turnkey capability to organizations that seek to rapidly integrate, and get results from, the introduction of the Intel Xeon Phi into their HPC environments. In this presentation, a brief technical overview of support for the Intel Xeon Phi via Bright Cluster Manager 6.1 will be provided.
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The vodcast is available on our YouTube page: http://bit.ly/1GjfrYB. To stay on top of more exciting updates like this one, follow us on Twitter (@BrightComputing) or like our page on Facebook
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