Webinar: ‘Secret Sauce’ How Allied Payment Innovates with DataStax Enterprise
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Transcript of Webinar: ‘Secret Sauce’ How Allied Payment Innovates with DataStax Enterprise
‘Secret Sauce’: How Allied Payment Innovates with DataStax EnterpriseBrian Rumschlag, Systems Architect, Allied PaymentKami Nixon, DataStax Enterprise Product Team
Today’s conversation
• Introductions
• Today’s online environments
• Uptime (continuous availability)
• Success Stories
• Your Questions
Today’s Speakers
Brian RumschlagSystems Architect Allied Payment Network
Kami NixonDataStax Enterprise product team
Allied Payment Network
DataStax
• Founded in April 2010
• Drives Apache Cassandra™, the popular open-source big data database
• 300+ customers
©2013 DataStax Confidential. Do not distribute without consent. 5
Allied Chose DataStax for Confidence
DataStax Enterprise delivers confidence in using a production-ready version of Cassandra, fully supported by the world’s leading experts, 24x7
We’re there when you need us
Get support while you build and during production, with hot-fix support for emergencies
Consult with us while you decide what to build and what to change
The Data Model!www.datastax.com/data-modeling
Is she buying clothing? vegetables? a mortgage?
Your online applications must help customers with…
• Fast and tailored product searches• Individualized recommendations• Customized web pages• Good information
With no downtime
Bill pay & banking: slow online adoption?
Use Cases & Fraud Detection
Security, Compliance & Fraud Detection
Success Story: Thomson Reuters
“Security is very important to us, so we’re naturally very pleased to see all the new security features in DataStax Enterprise 3. Its scalability and performance are enabling us to develop an exciting financial data analytics platform that will create a better experience for our audience.”
Using OpsCenter
Now Available: Fix problems before they happen
•DataStax Management Services in DSE 3.2
• Repair Service
• Capacity Planning Service
• Improved Search & Analytics
•DataStax OpsCenter 4.0
• Redesign
• Bulk Management
DataStax Management Services• Automatic management services transparently perform key
maintenance tasks and advanced operations without staff involvement.
• Choose the command line or OpsCenter.• Repair service automatically keeps a cluster’s data consistent.• Capacity service provides historical trend analysis and forecasting• More services to roll out with upcoming DataStax Enterprise
releases.
Repair ServiceCapacity Planning
‘3 Days Down would = death of company’
Datacenter
Cloud
About 1/2 OF ALL SALES will be online BY THE END
OF 2013
Source: (http://www.datastax.com/resources/whitepapers/bigdata)
24/7 monitorin
g demands
Globalmarket
demands
Localizationdeployment
Innovate with confidence
Datacenter
Cloud
Apache Cassandra™:massively scalableNoSQL database
Source: (http://www.datastax.com/resources/whitepapers/bigdata)
And easy data distribution
That offers uptime, all the time
(continuous availability)
2012201120102009
Scale to meet any demand, without surprises
Black Friday Holiday shopping season
Rapper joins Social Media and crashes
site
Major Retailerloses shopping cart inventory
Dates systems crashes
14
24 25
13
5
24
On Demand down
Power grid failure
Natural disaster
Fluctuatingtraffic
demands
http://techblog.netflix.com/2011/11/benchmarking-cassandra-scalability-on.html
Netflix Cloud Benchmark…
“In terms of scalability, there is a clear winner throughout our experiments. Cassandra achieves the highest throughput for the maximum number of nodes in all experiments with a linear increasing throughput.”Solving Big Data Challenges for Enterprise Application Performance Management, Tilman Rable, et al., August 2013, p. 10. Benchmark paper presented at the Very Large Database Conference, 2013. http://vldb.org/pvldb/vol5/p1724_tilmannrabl_vldb2013.pdf
End Point Independent NoSQL BenchmarkHighest in throughput…
Lowest in latency…
Cassandra: performance and scale
Cassandra: read and write anywhere
Write
Read
Write
Write
Read
CassandraMulti-Data
Center
DataStax Enterprise – Hot Data in Context
Analyze Write
Read
Write Search
Search
Write
Read
DataStaxEnterpriseMulti-Data
Center
The Security You Need
Write
Read
Write
Write
Read
Analyze
Search
Search
Success Story: Datafiniti
Datafiniti, which is a search engine for data, needs to consume lots of data in real time and provide fast search on top of the same data.
Get Strong Payback on IT Investment
Constant Contact found that scaling out with NoSQL vs. IBM DB2 saved them 90% in software costs, and was implemented in 1/3 the time...
“To do what we need to do today without Cassandra would cost a couple million dollars more and would be significantly harder to manage operationally.”
• Better ROI
• 80-90% less than a RDBMS
• Simpler & faster development
• Greater insight
•More flexibility and functionality
DataStax Enterprise for uptime
• Cassandra for real time ecommerce transactions.• Hadoop for ecommerce buyer analysis. • Solr for fast ecommerce product searches.
How can I try DataStax Enterprise?
• Go to www.datastax.com/download• Download DataStax Enterprise• Installs and configures in minutes• Completely free for development
evaluation (no trial time bombs)• Subscription required for production
deployments
What’s next for your business?
Future-proof your modern applications.
• Expand capacity when needed without business interruption.
• Scale to handle new product lines, new markets, and more.
DataStax Enterprise – The future-proof platform
• Easily increase performance and scale • Add nodes transparently/online• Across multiple data centers and cloud zones
DataStax
Enterprise
The Enterprise NoSQL
Platform
DataStax Enterpris
e The Enterprise NoSQL Platform
Thank You – Questions?
We power the big data applications that transform business.
30
Archive/Supporting
©2013 DataStax Confidential. Do not distribute without consent.
Yesterday’s ecommerce vs. today’s ecommerce
LOBApp
RDBMS
Oracle
LOBApp
RDBMS
MySQL
LOBApp
RDBMS
SQLServer
Data WarehouseRDBMS
Teradata/ Column DB’s
LOBApp
NoSQL
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NoSQL
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NoSQL
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Data WarehouseHadoop
Legacy Line-of-Business Apps
Today’s Line-of-Business Apps
Previous Generation vs. Modern Applications
Slow/medium velocity data High velocity data
Data coming in from one/few locations Data coming in from many locations
Rigid, static structured data Flexible, fluid, multi-type data
Low/medium data volumes; purge often
High data volumes; retain forever
Deploy app central location/ one server
Deploy app everywhere / many servers
Write data in one location Write data everywhere/anywhere
Primary concern: scale reads Scale writes and reads
Scale up for more users/data Scale out for more users/data
Downtime tolerated Downtime not tolerated
Legacy Applications Today’s Applications
Success Story: ebay
Success Story - NetflixNetflix systems are run in the cloud across multiple availability zones with Cassandra and sport constant uptime. Over 95% of Netflix’s data is stored in Cassandra (much of it previously on Oracle).
Success Story - Netflix
Commenting on Amazon outage in Oct 2012: “We configure all our clusters to use a replication factor of three, with each replica located in a different Availability Zone. This allowed Cassandra to handle the outage remarkably well. When a single zone became unavailable, we didn't need to do anything. Cassandra routed requests around the unavailable zone and when it recovered, the ring was repaired.”
- Netflix Tech Blog
http://techblog.netflix.com/2012/10/post-mortem-of-october-222012-aws.html