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Wolfgang Gentzsch & Burak Yenier The UberCloud Inc.
The UberCloud 2012 -‐ 2015
From Experiment to Marketplace
Our ‘last mile’: application containerization
Recorded for the RichReport, January 2015
Introduction
Ê The UberCloud enables companies to build, deploy, and consume compute and data intensive applications as a service: better, faster, and cheaper
Ê Experiment started July 2012 to learn HPC Cloud challenges: now 166 experiments, 54 cloud providers, 80+ ISVs, 100s of experts, 2500 participants
Ê Computing scenario: workstations, servers, and clouds
Ê Pain: workstations limited, servers expensive, clouds new
Ê Solution: Application containerization for UberCloud Marketplace
Sponsors
, partners , customers
HPC in the Cloud: benefits
Continue using your workstation (and your server) for your daily design, and use Cloud resources with additional benefits:
Ê An HPC system at your finger tip, on demand, as you need it
Ê Pay per use: no CAPital EXpenditure
Ê Business flexibility: Scaling resources up and down
Ê Low risk: working with multiple cloud providers
Ê Latest technology: cloud providers upgrade continuously
HPC in the Cloud: challenges
Ê It’s a new business and working paradigm
Ê Cloud expertise needed
Ê Access to clouds is cumbersome
Ê Which cloud is right for me?
Ê Loosing control over your jobs and data
Ê Security, privacy, trust in service provider
Ê Intellectual property
Ê Software Licensing
Ê Heavy data transfers
Solution: UberCloud SaaS Factory
UberCloud SaaS Factory
Software SaaS
Commercial ISV Open Source In-‐house
Public Cloud Private Cloud On-‐Premise
$$ $
We turn high-‐TCO, complex software into user-‐friendly pay-‐per-‐use services:
Development Services (Docker)
-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐ Deployment &
Management Services -‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐-‐ Marketplace
Providers Consumers
$
UberCloud SaaS Factory
Builder
Launcher
Controller ISV Data Tools
Stackable units with tools (ex: encryp?on), ISV applica?on codes (ex: OpenFOAM). Just add your own codes and data.
Run anywhere with UberCloud Run Time. Scale up or down the compute power as needed.
Collect granular usage data, logs. Monitor, alert, report.
On-‐Premise Private Cloud
Public Cloud
Run Time Run Time Run Time
Removing the Bottlenecks with Containers: Build once, run anywhere
Builder
Launcher
Controller ISV Data Tools
Stackable units with tools (ex: encryp?on), ISV applica?on codes (ex: OpenFOAM). Just add your own codes and data.
Run anywhere with UberCloud Run Time. Scale up or down the compute power as needed.
Collect granular usage data, logs. Monitor, alert, report.
On-‐Premise Private Cloud
Public Cloud
Run Time Run Time Run Time
Containers: Build once, run anywhere
Builder
Launcher
Controller ISV Data Tools
Stackable units with tools (ex: encryp?on), ISV applica?on codes (ex: OpenFOAM). Just add your own codes and data.
Run anywhere with UberCloud Run Time. Scale up or down the compute power as needed.
Collect granular usage data, logs. Monitor, alert, report.
On-‐Premise Private Cloud
Public Cloud
Run Time Run Time Run Time
Containers: Build once, run anywhere
Builder
Launcher
Controller ISV Data Tools
Stackable units with tools (ex: encryp?on), ISV applica?on codes (ex: OpenFOAM). Just add your own codes and data.
Run anywhere with UberCloud Run Time. Scale up or down the compute power as needed.
Collect granular usage data, logs. Monitor, alert, report.
On-‐Premise Private Cloud
Public Cloud
Run Time Run Time Run Time
Containers: Build once, run anywhere
UberCloud Containers: Reducing / Removing Cloud Challenges
http://www.theubercloud.com/workstations-‐servers-‐clouds-‐comparing-‐apples-‐apples/
UberCloud Marketplace
ANSYS Container Demo
Ê ANSYS multi-‐physics, Mechanical , Fluent, CFX, Workbench, Icepak, EM, LS-‐DYNA and LS-‐PrePost
Ê All running inside one Docker container, in the cloud
Ê Pre-‐ and post-‐processing in the cloud work the same way that it would work on the engineer’s desktop
Ê User experience in the cloud matches that on the desktop
Ê GPU support for high-‐resolution, fast, remote visualization
Ê Automated monitoring keeps you connected, under control Ê DEMO: http://youtu.be/-‐5HV69Bjm20 (4 minutes)
