Presentation from Todd Papaioannou, Continuuity #dataconf More at http://event.gigaom.com/structuredata/

1. Thursday, March 28, 13

2. SOLVING BIG DATA APP DEVELOPER’S BIGGEST PAINS
SPEAKER: Todd Papaioannou
Founder and CEO
Continuuity
Thursday, March 28, 13

3. SOLVING BIG DATA
DEVELOPERS BIGGEST PAINS
Todd Papaioannou
Founder & CEO, Continuuity
@drluckyspin
Flickr : NASA Goddard Photo and Video
Thursday, March 28, 13

4. WHO AM I?
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5. EX Y! CLOUD JEFE*
* Thank you Derrick Harris
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6. Y! CLOUD STATS
• ~400k node private cloud
• ~45k nodes of Hadoop
• ~120 developers on Hadoop Team
• ~1200 developers in Cloud Platform Group
• ~5000 other Y! Developers/users trying to use Hadoop
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7. WHAT DID I
LEARN?
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8. HADOOP IS
HARD!!
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9. TITLE TEXT
WANTED:
Stability
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10. GOT:
Redneck
Architecture!
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11. WANTED:
Slick User
Experience
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12. GOT:
Home-brew
Computing Club
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13. RESULT?
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14. LAUNCHING APPS TOOK FOREVER
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15. INNOVATION STALLED!
INNOVATION
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16. WHY?
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17. MAJOR PAIN POINTS
1. Setting up and maintaining Big Data infrastructure is hard and time consuming
1
2. Low level APIs and abstractions make it difficult to develop Big Data applications
2
3. It's tough to reliably deploy, manage, monitor and elastically scale Big Data applications
3
4. Lack of distributed systems PhDs and trained Hadoop developer talent
4
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18. Thursday, March 28, 13

19. OUR FOCUS
• Maniacal focus on the development of the next generation of Big Data applications
• Created the industry’s first scale-out application hosting platform for Hadoop and Hbase
• Delivered as a self-service Cloud PaaS
• Offering a suite of products that focus on the entire Application development lifecycle
‣ Beautiful programming abstractions and user interfaces
‣ Development tools and libraries to create Big Data applications
‣ Rich Visual User Interfaces for Application Operations
Developers!
Developers!
• We turn Java developers into Big Data developers! Developers!
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20. Thursday, March 28, 13

21. Thursday, March 28, 13

22. CONTINUUITY ADVANTAGE
Before After
Months + opex $$s to setup Hadoop infrastructure Self-service provision BigData stack in minutes
Low level infrastructure APIs slow development Create a BigData app in < 1 day with simple APIs
Ops staff required for app deployment Drag and drop Application deployment
System must be taken offline for upgrades Online Elastic Scalability
Debugging via log files IDE based debugging
Lack of qualified development talent Any Java developer can build Big Data apps
Months to create business value Days to create business value and monetize data
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23. PRODUCT SUITE
Publicly Available Now Publicly Available Now Available Q2 Available Q2
Get started with Continuuity right now @ www.continuuity.com
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24. QUESTIONS
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25. Thursday, March 28, 13