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Cloud Computing inside R&D at Eli Lilly and Company

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Presentation on theme: "Cloud Computing inside R&D at Eli Lilly and Company"— Presentation transcript:

1 Cloud Computing inside R&D at Eli Lilly and Company
Dave Powers – LRL R&D IT Andrew Kaczorek – LRL R&D IT Chris Chalfant – LRL R&D IT 04 March 2010

2 Who is Eli Lilly and Company?
A heritage more than 130 years strong: company founded on May 10, 1876 Headquarters located in Indianapolis, Indiana, U.S.A. Approximately 39,140 employees worldwide Approximately 7,486 employees engaged in research and development Clinical research conducted in more than 50 countries Research and development facilities located in 8 countries Manufacturing plants located in 13 countries Products marketed in 143 countries

3 Agenda More expensive per unit Low performance Limited scalability
FUD and hype factors are off the charts

4 Benefits for the Enterprise
On-demand and elastic Provision time in minutes versus weeks Utilization rates at or near 100% Rent versus own Transparency of cost Ecosystem of innovation

5 Current Time (minutes)
This is Disruptive Scenario Current Time (minutes) Cloud Time (minutes) New Server 72,000 (7.5 weeks) 5 New Collaboration 81,000 (8 weeks) 64-node Linux cluster 130,000 (12 weeks)

6 Clayton M. Christensen

7 Lilly IT: Key Business Challenges
Fixed costs At the same time, moving to a FIPNET model: collaboration data sharing software code/development sharing computing resource consumption increasing network access to data from anywhere at any time security Dependence on robust, reliable, scalable, flexible, secure infrastructure Computing resource consumption increasing Sense of urgency to change how we work

8 Lilly IT: Key Business Challenges
Lilly stands to lose $10 billion in annual revenues between now and the end of almost half its 2009 sales - as patents on three key drugs expire. The top six U.S. drug makers all face such "patent cliffs," but Lilly's is one of the steepest.

9 Lilly environment 2 FTEs support and manage
1300 cores / 700GB RAM / 50TB storage IBM blades/ IBRIX / EMC SAN 15 primary apps running (HTC) 15-20 primary power users 94% = Average daily utilization in Q3/2009

10 Let’s run the numbers: Q3/2009
Assumptions: Amazon ec2 (small instances)+ CycleComputing service Owner Compute Hours Cost (Jan 1, 2009) Cost(Dec. 1, 2009) Project1 1,594,606 $239,191 $199,326 Project2 574,884 $86,232 $73,861 Project3 124,332 $18,650 $15,542 Project4 64,376 $9,656 $8,047 Project5 19,144 $2,872 $2,393 Project6 18,862 $2,829 $2,358 Project7 16,284 $2,442 $2,036 Project8 15,664 $2,350 $1,958 Project9 13,330 $2,000 $1,666 Project10 11,568 $1,735 $1,446 Project11 7,526 $1,129 $941 Project12 6,356 $953 $795 Project13 5,816 $872 $727 Project14 4,876 $731 $610 Q3/2009 TOTAL 2,477,624 $371,642 $309,703

11 Let’s run the numbers: Q3/2009
Assumptions: Amazon ec2 (medium instances)+ CycleComputing service Owner Compute Hours Cost (Jan 1, 2009) Cost(Dec. 1, 2009) Project1 1,594,606 $398,652 $335,000 Project2 574,884 $143,721 $120,700 Project3 124,332 $31,100 $26,100 Project4 64,376 $16,100 $13,500 Project5 19,144 $4,800 $4,000 Project6 18,862 $4,700 $3,960 Project7 16,284 $4,000 $3,420 Project8 15,664 $3, 900 $3,290 Project9 13,330 $3,300 $2,800 Project10 11,568 $2,900 $2,430 Project11 7,526 $1,900 $1,600 Project12 6,356 $1,600 $1,335 Project13 5,816 $1,500 $1,220 Project14 4,876 $1,200 $1,020 Q3/2009 TOTAL 2,477,624 $ 619,406 $520,300

12 Cost Comparison Q3/2009 Q3/2009 Compute Hours Cost (Jan 1, 2009) Cost(Dec. 1, 2009) Small Instances 2,477,624 $ 371, $ 309,703 Medium Instances 2,477, $ 619, $ 520,300 In-house* ,477, $ 400, $ 400,000 Assumes internal costs (approximation, not fully baked)

13 Cost Comparison Q1/2010 Compute Hours Cost (Jan 1, 2010) Q1/2010
Small Instances , $ 186,000 Medium Instances , $ 312,000 In-house* , $ 400,000 Assumes internal costs (approximation, not fully baked)

14 Paying for the white space!
Full capacity January 2010 Utilization

15 Paying for the white space!
PAID for THIS Only used THIS

16 Scale testing with real workloads
Gene Sequence Analysis (~800 core-hours) Gene Mapping and Alignment (~800 core-hours) Proteomics / Biomarker Analysis (~900 core-hours)

17 Clayton M. Christensen

18 Acknowledgements MaryJo Zaborowski – Executive VP of LRL IT
Bob Oppelt – Sr. Director Ken Harman – Manager Chris Reed – Security


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