SOLVING BIG DATA APP DEVELOPERS BIGGEST PAINS from Structure:Data 2013

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

Transcript

Thursday, March 28, 13

SOLVING BIG DATA APP DEVELOPER’S BIGGEST PAINS

SPEAKER: Todd PapaioannouFounder and CEOContinuuity

Thursday, March 28, 13

SOLVING BIG DATA DEVELOPERS BIGGEST PAINS

Todd PapaioannouFounder & CEO, Continuuity

@drluckyspinFlickr : NASA Goddard Photo and Video

Thursday, March 28, 13

WHO AM I?

Thursday, March 28, 13

EX Y! CLOUD JEFE*

* Thank you Derrick Harris

Thursday, March 28, 13

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

WHAT DID I LEARN?

Thursday, March 28, 13

HADOOP IS HARD!!

Thursday, March 28, 13

TITLE TEXTWANTED:

StabilityThursday, March 28, 13

GOT:

Redneck Architecture!

Thursday, March 28, 13

WANTED:

Slick User Experience

Thursday, March 28, 13

Home-brew Computing Club

GOT:

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RESULT?Thursday, March 28, 13

LAUNCHING APPS TOOK FOREVER

Thursday, March 28, 13

INNOVATION

INNOVATION STALLED!

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WHY?Thursday, March 28, 13

MAJOR PAIN POINTS1. Setting up and maintaining Big Data infrastructure is hard and time consuming

2. Low level APIs and abstractions make it difficult to develop Big Data applications

3. It's tough to reliably deploy, manage, monitor and elastically scale Big Data applications

4. Lack of distributed systems PhDs and trained Hadoop developer talent

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2

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Thursday, March 28, 13

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

• We turn Java developers into Big Data developers!

Developers!Developers!Developers!

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Thursday, March 28, 13

Thursday, March 28, 13

CONTINUUITY ADVANTAGE

Months + opex $$s to setup Hadoop infrastructure

Low level infrastructure APIs slow development

Ops staff required for app deployment

System must be taken offline for upgrades

Debugging via log files

Lack of qualified development talent

Months to create business value

Self-service provision BigData stack in minutes

Create a BigData app in < 1 day with simple APIs

Drag and drop Application deployment

Online Elastic Scalability

IDE based debugging

Any Java developer can build Big Data apps

Days to create business value and monetize data

Before After

Thursday, March 28, 13

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

QUESTIONS

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Thursday, March 28, 13

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