The UberCloud. We enable companies to build, deploy, and consume compute and data intensive applications as services, better, faster, and cheaper

Transcription

1 The UberCloud We enable companies to build, deploy, and consume compute and data intensive applications as services, better, faster, and cheaper Wolfgang Gentzsch & Burak Yenier The UberCloud Inc, June 2015

2 The founders Burak Yenier, CEO, Operations & Technology CashEdge VP Operations, acq. by Fiserv 2012 Enterprise data center management International payment systems Wolfgang Gentzsch, President, Business & Community Founder Gridware (GridEngine), acq. by SUN in 2000 Co-Chairman of the annual ISC Cloud & Big Data conferences Director of German D-Grid Project & Intl. Open Grid Standards Forum Managing Director North Carolina Supercomputing Center Member of President Bush s Council of Advisors for Science &Technology

3 The problem The solution

4 Engineers & scientists major computing tools: workstations, servers, and clouds Let s analyze the benefits & challenges for 20 million engineers & scientists

5 The problem Enterprises need technical computing to innovate and compete. With our 172 industry end-user cloud experiments we discovered engineers computing pain points: Months long procurement cycles for h/w and s/w high Total Cost of Ownership (TCO) complex technical software and infrastructure bursty usage rapid tech refresh cycles And we found the solution...

6 The solution: SaaS factory Turning high-tco, complex software into user-friendly pay-per-use on-demand services: Providers Software + Commercial ISVs + Open Source SW + In-house Custom +$ UberCloud SaaS Factory Development Services (Docker) UberCloud Deployment & SaaS Factory Management Services Marketplace +$ Consumers SaaS + Public Cloud + Private Cloud + On-Premise -$$

7 IaaS and SaaS services IaaS: UberCloud has 50 participating resource providers. We match customer requirements to the best-match provider SaaS: UberCloud provides full SaaS services, including hardware capacity bundled with app software Technology: UberCloud application containers are portable, they can be run on any resource provider Business: We charge a transaction fee for every IaaS and SaaS service sold.

8 Support services We don t build our own knowhow about individual s/w and h/w in house, but we partner with support service providers. We have pre-packaged ready-to-go support service offers on the UberCloud Marketplace Customers can buy h/w, s/w and support services in one transaction We charge a transaction fee for support services sold. This includes all kinds of trainings.

9 The UberCloud Experiments

10 Fast backward 2012: Free voluntary UberCloud Experiments HPC as a Service, on demand, in a team experiment to explore the end-to-end process using cloud computing resources as a service, on demand, at your fingertips and learning how to resolve the roadblocks. TODAY: 172 experiments, 2500 companies, 72 countries, 50 case studies

11 Example: Team 142: Virtual testing of a severe service control valve MEET THE TEAM - End User - Mark A. Lobo, P.E. - Principal, Lobo Engineering 30 years experience in industrial product engineering with special focus on control valve design and application. - Software & Resource Provider Autodesk Simulation CFD 360 (SimCFD) - HPC/CAE Application Expert Software, resources, and support provided jointly by Jon den Hartog, P.E., Autodesk Sr. Product Line Manager & Heath Houghton, Autodesk Simulation CFD Product Manager.

12 Severe service control valve Autodesk Simulation CFD 360 UberCloud Team 142 5/30/

13 Choked flow control

14 Local vs. cloud solution Local solves HP Z800 Dual 2.4GHz Quad Core E5620, 24GB RAM 1 scenario - 1 hour with dedicated workstation Whole parameter study = 800 hours Cloud solves a pool of Amazon EC2 M2.4x large instances, each with 8 physical cores and 64.8 GB RAM Whole parameter study less than 24 hours

15 The Technology

16 Containers: Build once, run anywhere Run Time Run Time Run Time On-Premise Private Cloud Public Cloud Tools ISV Data Controller Collect granular usage data, logs. Monitor, alert, report. Launcher Run anywhere with UberCloud Run Time. Scale up or down the compute power as needed. Builder Stackable units with tools (ex: encryption), ISV application codes (ex: OpenFOAM). Just add your own codes and data.

17 Containers: Build once, run anywhere Run Time Run Time Run Time On-Premise Private Cloud Public Cloud Tools ISV Data Controller Collect granular usage data, logs. Monitor, alert, report. Launcher Run anywhere with UberCloud Run Time. Scale up or down the compute power as needed. Builder Stackable units with tools (ex: encryption), ISV application codes (ex: OpenFOAM). Just add your own codes and data.

18 Containers: Build once, run anywhere Run Time Run Time Run Time On-Premise Private Cloud Public Cloud Tools ISV Data Controller Collect granular usage data, logs. Monitor, alert, report. Launcher Run anywhere with UberCloud Run Time. Scale up or down the compute power as needed. Builder Stackable units with tools (ex: encryption), ISV application codes (ex: OpenFOAM). Just add your own codes and data.

19 Containers: Build once, run anywhere Run Time Run Time Run Time On-Premise Private Cloud Public Cloud Tools ISV Data Controller Collect granular usage data, logs. Monitor, alert, report. Launcher Run anywhere with UberCloud Run Time. Scale up or down the compute power as needed. Builder Stackable units with tools (ex: encryption), ISV application codes (ex: OpenFOAM). Just add your own codes and data.

20 Example: ANSYS container demo ANSYS multi-physics (5 s/w) running inside Docker container Pre- and post-processing in the cloud works the same way that it would work on the engineer s desktop User experience in the cloud matches that on the desktop GPU support for high-resolution remote visualization Automated monitoring keeps you connected, under control DEMO (6minutes long) :

21 UberCloud containers: Reducing / removing cloud challenges

22 The Potential Market for UberCloud

23 The market for computing services Today: 20+million engineers, scientists and their service providers in a very fragmented market: CAE, Biotech, Pharma, Oil & Gas, Finance, Chemistry, Environment, Big Data Analytics, Government, Research But, all have one thing in common: they need computing Tomorrow: plus 30+ million makers (3D printing), plus big data analytics, plus digital natives, plus...

24 The long tail of US manufacturing companies 250,000 companies have less than 500 employees = 98% US manufacturing = 16% of worldwide manufacturing market *) *)

25 Marketgrowth towards long tail Small & medium companies The Missing Middle Expert consultants Maker movement Amateurs Students

26 Key HPC cloud market drivers Enterprise use of cloud drives R&D use of Cloud Engineers growing awareness about benefits Engineers experience with consumer cloud = work imitates life *) The large guys**) expect suppliers to do better, faster, cheaper *) CDW 2013 State of the Cloud Report **) The Boeings

27 Key HPC cloud market drivers MOOC ISVs are moving to the cloud Big Data analytics needs massive computing 30 mio makers Massive Online Open Courses are sitting in the cloud 27 Our digital natives live in the cloud

28 The UberCloud Marketplace

29 Problem today: crowded and ineffective cloud market Uncertain Cost Licensing Security Data Transfer Supply Cloud providers ISVs Consultants Trainers.... Roadblocks. Complexity Demand Engineers Scientists Data analysts Experts

30 Solution: The UberCloud marketplace UberCloud Marketplace Supply Cloud providers ISVs Consultants Trainers Demand Engineers Scientists Data analysts Experts

31 The UberCloud marketplace Directory

32 Example: OpenFOAM store

33 Sponsors, partners, customers

34 The UberCloud We enable companies to build, deploy, and consume compute and data intensive applications as services, better, faster, and cheaper