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How much money do you lose every time your ecommerce site goes down?
 

How much money do you lose every time your ecommerce site goes down?

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In today’s environment, you must serve your customers with uptime (all the time) availability, plus hidden benefits like state-of-the-art fraud detection and game-changing recommendation ...

In today’s environment, you must serve your customers with uptime (all the time) availability, plus hidden benefits like state-of-the-art fraud detection and game-changing recommendation engines.

In this webinar, you’ll learn how to:
-Get uptime, all the time, so you can serve your customers without outages
-Ingest huge velocities of data from anywhere
-Maximize mobile, online and cloud applications with the security your customers expect
-Identify patterns between formerly silo’d data, even text and call logs
-Get the search & insight you need without performance hits

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    How much money do you lose every time your ecommerce site goes down? How much money do you lose every time your ecommerce site goes down? Presentation Transcript

    • How much money do you lose when your online application goes down? Guest: Eric Lubow, Co-founder & CTO Simple Reach Kami Nixon, DataStax Product Team
    • DataStax: An Overview • Founded in April 2010 • Drives Apache Cassandra™, the popular open-source big data database • 300+ customers ©2013 DataStax Confidential. Do not distribute without consent. 2
    • Eric Lubow, CTO and Co-Founder at SimpleReach Eric Lubow began his career building secure systems at Guardian Digital before joining Conductor.com, where he developed and ran their ad systems. After graduating from Rutgers University with a degree in Information Systems, Eric did multiple tours with the U.S. Army including serving in Iraq as a Lieutenant and Albania as a Captain. He is a board advisor for the IronMatt.org charity for pediatric brain tumors, a mixed martial artist, motorcyclist, and seasoned skydiver. Eric is the co-author of 'Practical Cassandra' to be released on Dec 23.
    • Kami Nixon, DataStax Product Team Kami Nixon is on DataStax’s product team, and came to NoSQL from the relational data modeling world. A former newspaper reporter, Kami writes frequently about how today's data is transforming the way modern businesses interact with their customers. Kami tried skydiving once and never wants to do that again. But she is a musician who performs in the Bay Area.
    • Today’s conversation • Introduction to DataStax • Today’s online environments • Uptime (continuous availability) • Success Stories • Your Questions
    • 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
    • What do you need Uptime for? • Analyzing buyer behavior • Social media analysis • Analyzing click-stream patterns • Compliance analysis • Spot-on customer recommendations • Fast fraud detection
    • 2012201120102009 Rule 1 - Plan for disaster Database Crash October 24, 2012 (AP) We are suffering from a database crash as of this morning. We hope to be back online soon. The machine was completely hung up and required a full re-boot. We realized we need to switch the master-replica relationship. Once the recovery is complete, we hope to avoid disruption in the future. We are sorry for the inconvenience. Privacy Hacked February 21, 2013 (AP) A customer support service revealed today that it had been hacked and user information had been compromised. It is unclear how much personal privacy information is at major risk and whether efforts to restore privacy will be successful. as for Officials in major industries are watching the situation to safeguard individual privacy concerns. Black Friday Disaster; Website Crippled November 25, 2011 (AP) Firesales turned into a firestorm for a major retailer this morning as the company’s web servers buckled under Black Friday traffic. Shoppers experienced broken checkout pages, emptied shopping carts and login errors. The company reported devastating
    • Big problems should not stop your business 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 monitoring demands Global market demands Localization deployment
    • How do you avoid disaster? Datacenter Cloud Apache Cassandra™: massively scalable NoSQL 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 Retailer loses shopping cart inventory Dates systems crashes 14 24 25 13 5 24 On Demand down Power grid failure Natural disaster Fluctuating traffic demands
    • A customer is about to give you money This should NEVER be unavailable!
    • Yesterday’s ecommerce vs. today’s ecommerce LOB App RDBMS Oracle LOB App RDBMS MySQL LOB App RDBMS SQL Server Data Warehouse RDBMS Teradata/ Column DB’s LOB App NoSQL LOB App NoSQL LOB App NoSQL C * C * C * C * C *C * C * C * C * C * C * C * C * C * C *C * C * C * C * C * C * C * C * C * C *C * C * C * C * C * Data Warehouse Hadoop 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 - Netflix Netflix 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
    • 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 Benchmark Highest in throughput… Lowest in latency… Cassandra: performance and scale
    • Cassandra: read and write anywhere Write Read Write Write Read Cassandra Multi-Data Center
    • Success Story: RightScale Rightscale keeps its customers in contact with each other all over the world via DataStax clusters in 5+ global data centers.
    • Success Story: Adobe Adobe delivers on very stringent response time requirements (< 12ms or less for 95% of requests) for its marketing cloud with DataStax clusters in two data centers.
    • DataStax Enterprise – Hot Data in Context Analyze Write Read Write Search Search Write Read DataStax Enterprise Multi-Data Center
    • DataStax Enterprise for uptime • Cassandra for real time ecommerce transactions. • Hadoop for ecommerce buyer analysis. • Solr for fast ecommerce product searches.
    • Easily manage ecommerce databases
    • 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.
    • Success Story: ebay
    • The Application World *HAS* Changed
    • WHAT?!
    • Security and Compliance
    • 2012201120102009 Could your business be next? Disasters Smack Share Buyback Plan (AP) Several companies impacted by recent catastrophes are quickly putting their share repurchasing plans on the backburner. Insurer Travelers Cos became the latest on Friday when it said it would slow down its buyback program after the Japanese earthquake and deadly tornado Ohio treasurer's office new salary database crashes, 300 searches a minute in first day (AP) The Ohio treasurer's office database of state workers' salaries and wages was so popular when it went online Wednesday that a server linked to it crashed several times, Ohio Treasurer Josh Mandel said. He did not have specifics on how many users were on it. LivingSocial hacked; 50 million affected (AP) Daily deals Web site LivingSocial is the latest database target for hackers, who have compromised the personal information of more than 50 million people. In internal LivingSocial e-mails obtained by AllThingsD, the unknown culprits appear to have made off with the names, e- mails, birthdates, and encrypted passwords of what appears to be
    • The Security You Need Write Read Write Write Read Analyze Search Search
    • 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.”
    • 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 Online AnalyzeSearch DataStax Enterprise The Enterprise NoSQL Platform Online Analyze Search Online AnalyzeSearch Online Analyze Search
    • Success Story: Ooyala DataStax is driving Cassandra to be the first viable alternative to the Oracle database for companies who are transforming the way they interact with customers. Getting ahead of exploding growth • Sign big, new contracts all the time (ESPN) • 200M unique users per month • 2 Billion events per day • Hundreds of TB’s of data Flexible architecture • “Couldn’t shoehorn RDBMS technology” Very small operations team • 3 people • 100’s of nodes
    • 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
    • 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
    • Resources: DataStax.com Eric’s Book: Practical Cassandra
    • Thank You – Questions? We power the big data applications that transform business.