SOLVING BIG DATA APP DEVELOPERS BIGGEST PAINS from Structure:Data 2013
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The document discusses the challenges faced by big data application developers, as presented by Todd Papaioannou, founder and CEO of Continuuity. Key issues include the complexity of setting up and maintaining big data infrastructure, the difficulty of using low-level APIs, and the lack of qualified talent. Continuuity aims to simplify the development process with a platform that enables developers to create big data applications quickly and efficiently.
SOLVING BIG DATA APP DEVELOPERS BIGGEST PAINS from Structure:Data 2013
- 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? Thursday, March 28, 13
- 5. EX Y! CLOUD JEFE* * Thank you Derrick Harris Thursday, March 28, 13
- 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 Thursday, March 28, 13
- 7. WHAT DID I LEARN? Thursday, March 28, 13
- 8. HADOOP IS HARD!! Thursday, March 28, 13
- 9. TITLE TEXT WANTED: Stability Thursday, March 28, 13
- 10. GOT: Redneck Architecture! Thursday, March 28, 13
- 11. WANTED: Slick User Experience Thursday, March 28, 13
- 12. GOT: Home-brew Computing Club Thursday, March 28, 13
- 13. RESULT? Thursday, March 28, 13
- 14. LAUNCHING APPS TOOK FOREVER Thursday, March 28, 13
- 15. INNOVATION STALLED! INNOVATION Thursday, March 28, 13
- 16. WHY? Thursday, March 28, 13
- 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 Thursday, March 28, 13
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- 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! Thursday, March 28, 13
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- 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 Thursday, March 28, 13
- 23. PRODUCT SUITE Publicly Available Now Publicly Available Now Available Q2 Available Q2 Get started with Continuuity right now @ www.continuuity.com Thursday, March 28, 13
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