big data in the cloud

34
Big Data In the Cloud @natishalom

Upload: nati-shalom

Post on 12-May-2015

1.158 views

Category:

Documents


3 download

DESCRIPTION

Adopting Hadoop to manage your Big Data is an important step, but not the end-solution to your Big Data challenges. Here are some of the additional considerations you must face: Choosing the right cloud for the job: The massive computing and storage resources that are needed to support Big Data applications make cloud environments an ideal fit, and more than ever, there is a growing number of choices of cloud infrastructure types and providers. Given the diverse options, and the dynamic environments involved, it becomes ever more important to maintain the flexibility for all your IT needs. Big Data is a complex beast: It involves many and different moving parts, in large clusters, and is continually growing and evolving. Managing such an environment manually is not a viable option. The question is, how can you achieve automation of all this complexity? The world beyond Hadoop: Big Data is not just Hadoop – there is a whole rapidly growing ecosystem to contend with, including NoSQL, data processing, analytics tools… As well as your own application services. How can you manage deployment, configuration, scaling and failover of all the different pieces, in a consistent way? In this session, you’ll learn how to deploy and manage your Hadoop cluster on any Cloud, as well as manage the rest of your big data application stack using a new open source framework called Cloudify.

TRANSCRIPT

Big Data In the

Cloud@natishalom

2

About GigaSpaces

Managing Big Data on the Cloud

100’s of Enterprise Customers

3

Big Data In The Cloud

2.7 ZB

0.5 Petabytes

66%

Global Digital Data

Two years tweets

Will or plan to use Big Data in the 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

Running Bare-Metal for high I/O workloads, Public cloud for sporadic workloads..

Big Data in the Cloud ..

Reducing The Operational Complexity

• Consistent Management

• Automation Through the Entire Stack

Lets Take a Closer Look …

Before we Begin.. Well Need to Break

Some Common Myth’s on Portability

Cloud Portability Myth #1

No one really needs cloud portability

Cloud Portability

Facts

Zynga moved ~80% of their workload from Amazon to their private zCloud

“own the base, rent the spike”

http://code.zynga.com/2012/02/the-evolution-of-zcloud/

Cloud Portability

Facts Started with Linode, then moved to RackSpace, then to AWS

http://code.mixpanel.com/2010/11/08/amazon-vs-rackspace/

Cloud Portability

Facts

• You want the flexibility to choose what’s right for you, when it’s right for you

• Based on pricing, features, availability, performance, etc.

Cloud Portability Myth #2

Cloud Portability ==

Cloud API Standardization

Cloud APIs, Today

Standard APIs (?)OCCIVCloud

OSS FrameworksOpenStackCloudStackEucalyptus

Abstraction frameworksJCloudsDeltacloudFogLibvirt

Cloud APIs, Today

Standard APIsNot practical in the foreseeable future

OSS Projects Need a couple more years to converge &

mature

Abstraction FrameworksProbably the only

practical (near-term) option

Realization:

What You Really Care

about Is App

Portability

OS is the same on any cloud

Most clouds have compute & storage

Elasticity & scaling have same effects on the app, regardless of the cloud

And now to a Closer

Look …

Consistent Management

Portability

Automation

® Copyright 2012 GigaSpaces Ltd. All Rights Reserved

25

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)

® Copyright 2012 GigaSpaces Ltd. All Rights Reserved

27

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 "1234" machineMemoryMB 3200 hardwareId "103" remoteDirectory "/root/gs-files" localDirectory "upload" keyFile "gigaPGHP.pem" options ([ "openstack.securityGroup" : "default", "openstack.keyPair" : "gigaPGHP"

])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)

Try a simple demo yourself

The app

The Cloudify dashboardlaunch.cloudifysource.org/d

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