Social Media, mobile devices and new innovative infrastructures mean that more data is being used to serve end-users more than ever before. Enterprise customers must act quickly on data stored across their enterprise. IBM Elastic Caching solutions provide the best opportunity for improving your end-users experience in consuming application data. Every business, of every size, in every Industry needs an effective data caching solution. The industry has moved beyond the bottleneck of CPU processing and must address the growing data bottleneck problems which prevent predictable and cost-effective scalability that directly impacts the performance and throughput of every data-intensive application. IBM Elastic Caching solutions WebSphere eXtreme Scale and the DataPower XC10 Appliance solve these problems better than the competition. Learn how IBM Elastic Caching solutions have evolved to eliminate enterprise data bottlenecks by elastically distributing data among many resources and allowing applications to efficiently access needed data quickly. We beat our competition by not only allowing our customers flexibility to create mission-critical applications that achieve predictable, scalable performance and high availability, but also extending and integrating IBM Elastic Caching into many IBM products covering Retail/Commerce solutions, Mobile Devices, Content Management, Business Rule Management, ESBs, Messaging and more.

1. Elastic Caching for a Smarter Planet - Make Every
Transaction Count
Yakura Coffee
WebSphere Product Manager
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2. Make Every Transaction Count
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3. Data size and Usage Growth
Retail, Banking, Finance, Insurance, Telecom, Travel & Transportation …
Mobile Access
Laptops, Ultrabooks, 3G, 4G, = Transaction
Tablets, Smartphones + free wi-fi
Overload
Social Media
YouTube,
TV, Movie, Sports Personality twitter, Transaction
mentions / endorses product + Facebook = Overload
Targeted Advertising
E-mail, SMS, Pop-up, Transaction
Click-thru Promotions, + All of the above = Overload
Web Crawlers
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4. Data for Cloud, Mobile, Social …
 Websites and Mobile apps are
getting more diverse with more and
more content data.
Applications are consuming and creating more
backend transactions at an very healthy rate.
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5. What is the Impact on my customer interactions?
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6. Caching Benefits
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7. In-Memory NoSQL DataGrid
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8. In-Memory Computing Is Key for Big Data
What Is In-Memory Computing?
A computing style by which it can be assumed that:
A computing style by which it can be assumed that:
• The primary data store is in-memory ("RAM is the new disk")
• The primary data store is in-memory ("RAM is the new disk")
• Data access latency is negligible
• Data access latency is negligible
• Terabyte-size datasets can be stored in the computer RAM
• Terabyte-size datasets can be stored in the computer RAM
• Spinning disk is "the new tape" (overflow, recovery)
• Spinning disk is "the new tape" (overflow, recovery)
Why Now?
• 64-bit processors can address up to 16 exabytes of data
• 64-bit processors can address up to 16 exabytes of data
• DRAM prices drop by 30% every 18 months
• DRAM prices drop by 30% every 18 months
• 1Gb of NAND flash memory average price is 82 cents*
• 1Gb of NAND flash memory average price is 82 cents*
• Commodity blades provide 1 terabyte of DRAM (or more)
• Commodity blades provide 1 terabyte of DRAM (or more)
• Multicore CPUs enable parallel processing of in-memory data
• Multicore CPUs enable parallel processing of in-memory data
• In-memory-enabling software is amply available and proven!
• In-memory-enabling software is amply available and proven!
* Per Gartner's "Weekly Memory Pricing Index, 7 October 2011," G00226221
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9. Does In-Memory Matter?
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10. Do you have this Problem?
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11. You can leverage this Solution!
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12. How IBM Elastic Caching solves problems!
WebSphere eXtreme Scale helps deliver extremely fast single digit
High activity leads to
High activity leads to milliseconds response time during peak hours or flash loads. It is proven to
slower response time
slower response time reduce up to 90% of response time, thus enhancing caching agility to meet
peak demand
My operational costs
My operational costs WebSphere eXtreme Scale provides consistent and predictable
are only increasing with interaction performance for business-critical applications. Through dynamic
are only increasing with
increased work
increased work scaling of your backend applications, it reduces load on the back-end of
the data store to manageable levels
requests
requests
Data Loss during server WebSphere eXtreme Scale runs lower risk of data loss through automatic
Data Loss during server replication, delivering high availability and fault tolerance . This ensures
crash
crash higher user satisfaction and faster task completion
WebSphere eXtreme Scale helps achieve up to 40% improvement in time
Slow server start up / /
Slow server start up to reach steady-state after full or partial site restart, or after full cache
warm up time
warm up time invalidation. Thus, coherent and consistent cache helps avoid cases of
stale data, and also increases response time
© 2010 IBM Corporation

13. IBM Elastic Caching Delivers
Consistent Response Times, High Availability of Data & Linear Scalability for
Enterprise-wide Data Grids
WebSphere eXtreme Scale V8.6 DataPower XC10 Appliance V2.1
A powerful, scalable, elastic in- Rapid, “drop-in” use with a
memory grid for your business- broad range of Java and non-
critical applications Java application environments
 Multi-data center support allows customers to host data
 Java and .NET applications can now interact natively with on XC10s in multiple locations with data kept in synch
the same data in the same data grid, leading the way through multi-master replication
toward a true enterprise-wide data grid.
 Support for elastic caching for WAS Liberty brings
 A new REST Gateway provides simple access from other scalability, fault tolerance and high availability
languages.
 Dynamic cache replacement for Web Content Manager
 WXS 8.6 delivers a faster, more compact serialization running on WebSphere Portal & WebSphere Commerce
format called eXtreme Data Format (XDF), which is
neutral to programming languages.  Monitoring enhancements ease administration and
improve serviceability
 A new transport mechanism, eXtreme IO (XIO) removes
the dependency on the IBM ORB, enabling easier  Support for Simple Network Management Protocol
integration with existing environments. (SNMP) traps for event notification
 Built in pub/sub capabilities enable WXS 8.6 to update  Capability to query grid contents
client “near caches” whenever data is updated, deleted,  Spring Cache 3.1 Support - Enables Spring cache to
or invalidated on the server side. develop or maintain Java Spring applications.
 API enhancements enable continuous query or data that
is inserted and updated in the grid.
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14. IBM® WebSphere® eXtreme Scale V8.6
WebSphere eXtreme Scale provides enhancements
to support Enterprise-wide Data Grids
What’s New
• Java and .NET applications can now interact natively with
the same data in the same data grid, leading the way
toward a true enterprise-wide data grid.
• A new REST Gateway provides simple access from other
languages.
• WXS 8.6 delivers a faster, more compact serialization
format called eXtreme Data Format (XDF), which is
neutral to programming languages.
• A new transport mechanism, eXtreme IO (XIO), removes
the dependency on a Java specific transport to allow for
greater cross-platform communication. Customer Examples:
• Reduced response time by
• Built in pub/sub capabilities enable WXS 8.6 to update
90 percent, from 60
client “near caches” whenever data is updated, deleted, or
milliseconds to just 6
invalidated on the server side.
milliseconds
• API enhancements enable continuous query of data that • A sports website speeds data
is inserted and updated in the grid. access, processing
transactions with virtually no
latency in the user experience
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15. IBM® WebSphere® eXtreme Scale V8.6
Powerful In Memory Data Grid capabilities for the Next Generation of Cloud
and Mobile Applications
Business Value
• Support for non-Java applications
enables single, enterprise wide solution
• Better integration with existing
environments including:
• WAS and Liberty
• WebSphere Message Broker, ESB
and DataPower XI52
• Mobile
• WebSphere Portal
• Commerce
Client Benefits
• Consistent and predictable performance
for business-critical applications
• Elastic scalability
• High availability of data
• Reduced load on back-end systems
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16. New Workloads Drive the Need for Elastic Caching
“1 Billion People on User Profile Management
the Internet”
Largest fantasy sports 7 billion 10x
site in world requests per day reduced
response times
“3 Billion Stock Trades” Order Matching // Routing
Order Matching Routing
3rd largest mutual-fund
3rd largest mutual-fund 40x
40x 4x
company in the US
company in the US number of
number of
number of increase in
increase in
transactions
transactions
transactions revenue
revenue
“15 Petabytes of new
“15 Petabytes of new Accelerate Business Processes
information per day”
information per day”
World’s 66thlargest property &
World’s th largest property & 125,000
casualty insurance company
casualty insurance company policies concurrently processed
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17. How IBM In-Memory Data Grid Technology is different
WebSphere eXtreme Scale V8.6 DataPower XC10 Appliance V2.1
 Very large (extreme) scalability supporting up to thousands of servers instances..
 Integration with IBM Workload Deployer, IBM PureApplication System, IBM Business Process
Management (BPM), Tivoli Access Manager, WebSphere Application Server and other products in the
WebSphere family (WebSphere DataPower Integration Appliance XI52, WebSphere Commerce,
WebSphere Portal, WebSphere Enterprise Service Bus, WebSphere MQ, WebSphere Message Broker
and WebSphere Business Events) favor cross-selling the product in the vast IBM installed base.
 The availability of WXS in the form of a hardware appliance targeting plug-and-play integration with
multiple IBM products makes the technology suitable also for mainstream enterprises with minimal or no
knowledge of IMDG technology
 Unlike most competitors, WXS is certified to run on a wide range of OS products, including AIX, HP Unix
and various Linux distributions (Asianux, Red Hat and SUSE), Oracle Solaris, Microsoft Windows and
IBM z/OS.
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18. IBM Elastic Caching Use Cases

19. Resources
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