Webinar: ‘Secret Sauce’ How Allied Payment Innovates with DataStax Enterprise

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‘Secret Sauce’: How Allied Payment Innovates with DataStax Enterprise Brian Rumschlag, Systems Architect, Allied Payment Kami Nixon, DataStax Enterprise Product Team

description

Allied Payment Network is a visionary and innovative company that applies emerging bill pay technologies for the financial industry and its customers. The company makes the bill paying process easier and more convenient for the consumer, and more efficient and cost effective for financial institutions. Faced with “ridiculous scale” a year and a half ago, the IT team at Allied Payment Network knew they needed an alternative to the legacy database system that was locking up much too frequently. They also needed a better way to increase application response times, manage multiple availability zones, and take advantage of the fact that “space is cheap.” Innovators of PicturePay and other cutting edge solutions, Allied Payment turned to DataStax Enterprise, powered by Apache Cassandra™. Join us for this webinar, where you will learn about Allied Payment’s 1. “Painless migration” from Microsoft SQL Server, accomplished after they were in production 2. Discovery of the “paradigm-shifting” query-first data model 3. Use of DataStax’s OpsCenter to easily manage the database layer of their application 4. Experience of 100x faster response times since deploying on DataStax Enterprise You need to find the best database for today’s online applications, and you need to know which one to consider first so you don’t waste valuable time. Allied Payment is a great example of how to get it right: proactively grow your business using the right technology.

Transcript of Webinar: ‘Secret Sauce’ How Allied Payment Innovates with DataStax Enterprise

Page 1: 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

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Today’s conversation

• Introductions

• Today’s online environments

• Uptime (continuous availability)

• Success Stories

• Your Questions

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Today’s Speakers

Brian RumschlagSystems Architect Allied Payment Network

Kami NixonDataStax Enterprise product team

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Allied Payment Network

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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

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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

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The Data Model!www.datastax.com/data-modeling

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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

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Bill pay & banking: slow online adoption?

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Use Cases & Fraud Detection

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Security, Compliance & Fraud Detection

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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.”

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Using OpsCenter

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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

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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

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‘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

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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)

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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

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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

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Cassandra: read and write anywhere

Write

Read

Write

Write

Read

CassandraMulti-Data

Center

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DataStax Enterprise – Hot Data in Context

Analyze Write

Read

Write Search

Search

Write

Read

DataStaxEnterpriseMulti-Data

Center

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The Security You Need

Write

Read

Write

Write

Read

Analyze

Search

Search

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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.

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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

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DataStax Enterprise for uptime

• Cassandra for real time ecommerce transactions.• Hadoop for ecommerce buyer analysis. • Solr for fast ecommerce product searches.

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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

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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.

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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

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Thank You – Questions?

We power the big data applications that transform business.

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Archive/Supporting

©2013 DataStax Confidential. Do not distribute without consent.

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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

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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

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Success Story: ebay

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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).

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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