Big Data In the

Cloud@natishalom

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About GigaSpaces

Managing Big Data on the Cloud

100s of Enterprise Customers

My Data Out of My Hands..

No Way!

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The Reality of Big Data..

2.7 ZB

0.5 Petabytes

66%

Global Digital Data

Two years tweets

Plan to use Big Data/Cloud

43% think that data

analytics could be improved in their organization if data analytics was part of

cloud services

Large ISV Case Study

• Application– Call Center surveillance

• Background– Previously – voice data

• Goal for a new system– Monitor data & voice– Multiple data sources – Advanced correlations

The Challenges...

Ever Growing Data

Deeper Correlation

Tight Performance

A Classic Case for...

A Typical Big Data System…

The Challenge

Cost Business Impact

Lower Margins

Competiveness

Time to Market

Customer Satisfaction

Infrastructure

Operational

The Solution Big Data

in the Cloud

Big Data in the Cloud - 3 Reasons

• Skills– Do you really need/want this all in-

house?• Huge amounts of external data – Does it make sense to move and

manage all this data behind your firewall?

• Focus on the value of your data– Instead of big data management

Holger Kisker

Managing Big Data on the

Cloud

• Auto start VMs• Install and configure

app components • Monitor • Repair • (Auto) Scale• Burst…

Big Data in the Cloud...

Reduce the Infrastructure Cost

Choose the Right Cloud for the Job

Use Eucalyptus for private data , AWS for sporadic workloads..

Big Data in the Cloud...

Reducing the Operational Complexity

• Consistent Management

• Automation Through the Entire Stack

Let’s Take a Closer Look…

Consistent Management

Portability

Automation

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Consistent ManagementRecipes consistent description for running any app:

What middleware services to run Dependencies between services How to install services Where application and service binaries are When to spawn or terminate instances How to monitor each of the services

The Right Cloud for the Job (Cloud

Portability)

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Choosing the Right Cloud for the Jobcompute { template "SMALL_LINUX"}

SMALL_LINUX : template imageId "us-east-1/ami-76f0061f“ remoteDirectory "/home/ec2-user/gs-files“ machineMemoryMB 1600 hardwareId "m1.small" locationId "us-east-1" localDirectory "upload" keyFile "myKeyFile.pem"

options ([ "securityGroups" : ["default"]as

String[], "keyPair" : "myKeyFile"])

overrides (["jclouds.ec2.ami-query":"",

"jclouds.ec2.cc-ami-query":""])privileged true

}

SMALL_LINUX : template{   imageId linuxImageId   remoteDirectory "/home/user/gs-files"   machineMemoryMB 1600   hardwareId “m1.medium”  locationId “us-west-1”  localDirectory "upload“ keyFile “myEucaKeyFile.pem”  username "user"   options ([         "securityGroups" : ["default"] as String[],                                             "keyPair" : keyPair ]) overrides ([“endpoint” : “http://communitycloud.eucalyptus.com”])                                  privileged true}

Automation across the stack1 Upload your recipe.

2 Cloudify creates VM’s & installs agents

3 Agents install and manage your app

4 Cloudify automate the scaling

Big Data Apps, on Any Cloud, Your Way

Open Source (Apache2)

Big Data On Demand with CloudifyRelational DB Clusters NoSQL Clusters Hadoop

MySQL MongoDB Hadoop (Hive, Pig,..)

Postgress Cassandra Storm

Couchbase ZooKeeper

ElasticSearch

® Copyright 2011 Gigaspaces Ltd. All Rights Reserved

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Demo Time: Storm Cluster

Large ISV Case Study

• Application– Call Center surveillance system

• Background– Previously – voice data

• Goal for a new systemMonitor data & voiceMultiple data sources Advanced correlations Mission

Accomplished

Additional Benefits

• True Cloud Economics

• One product -> Any Customer Environment

• Increased Agility

Thank You!

References: http://www.cloudifysource.org http://github.com/CloudifySource