0
John Glendenning
DataStax
‘Real-time data driven services in the Cloud’
Real-time Data Driven Services in the Cloud
John Glendenning, DataStax
VP & GM EMEA
Line of Business Manager: Adapt With Customers
“I have to move as fast as my
market. I can‟t get slowed down
by people tel...
VP of IT: How Can I Scale Without Surprises?
“Given the explosion of data in the
enterprise, how can I scale my IT
investm...
Nearly All Businesses Must Think Global
Datacenter
Cloud
About 1/2
OF ALL SALES
will be online
BY THE END
OF 2013
Source: ...
Your Data Demands Can Change in an Instant
2012201120102009
Fluctuating
traffic
demands
14
24 25
13
Fi
5
24
Major
Changes:
The Evolving
Data Center
DataStax in the News
Big movies, big data: Netflix
embraces NoSQL in the cloud
With billions of reads and writes daily,
Ne...
Major Changes: The Evolving Data Center
LOB
App
Oracl
e
LOB
App
MySQL
LOB
App
SQL
Serve
r
“What’s Happening?”
Hyper Veloci...
What is a NoSQL Solution?
•
•
•
•
•
What is Apache Cassandra?
Apache Cassandra™ is a massively scalable distributed open
source database.
Cassandra is designe...
Cassandra Architecture Overview
• Fast / Linear performance
• Elastic scalability
• No single point of failure
• Enterpris...
Apache Cassandra Leading in Performance
“In terms of scalability, there is a clear winner
throughout our experiments. Cass...
Who‟s using Cassandra?
Why We Exist
“I can create a Cassandra cluster
in any region of the world in 10
minutes. When marketing guys
decide we wan...
What We Do Best
Cassandra was designed to do
things that are impossible in
other databases when it comes
to availability a...
Without Breaking Your Budget
“To do what we need to
do today without
Cassandra would cost a
couple million dollars
more an...
DataStax: An Overview
• Founded in April 2010
• Home to Apache Cassandra Chair & most committers
• DataStax Enterprise – „...
DataStax Enterprise
Cassandra users
come to DataStax
For Confidence
and Innovation
What Innovation?
• Production-certified
Cassandra
• Round-the-clock support
by the world‟s experts
• Your big data system ...
Ask Different Things of Your Hot Data
Analyze
(Hadoop) Write
Read
Write Search
(Solr)
Search
(Solr)
Write
Read
DataStax
En...
With the Security You Need
Analyze
(Hadoop) Write
Read
Write Search
(Solr)
Search
(Solr)
Write
Read
Into the Mainstream
“Security is very important to us,
so we‟re naturally very pleased
to see all the new security
feature...
Managed From a Single Pane
Provision
Monitor
Plan
Optimize
Recover
CALL FOR PAPERS
SPONSORSHIP 30+ Sessions
TWO DAYSTRAINING DAY
Cassandra Summit Europe 2013
CALL FOR PAPERS
SPONSORSHIP OPP...
John Glendenning - Real time data driven services in the Cloud
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John Glendenning - Real time data driven services in the Cloud

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John Glendenning from DataStax's presentation from our Big Data breakfast conference

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  • Always available,Target new regions quickly, Need elasticity as traffic ebbs and flows
  • Always available,Target new regions quickly, Need elasticity as traffic ebbs and flows
  • In the old days all your structured data storage requirements went into the classic RDBMS like DB2, Oracle, Sybase, InformixRelational databases were great! You could define data structures and insert, join them to your hearts content and query them to give you the bits of data you want. After a while you joins become a massive chain and your systems start slowing down! Change the data structure to perform better? Too risky!Noooo, just buy more kit to make it perform!Then there is the multi data centre configuration. What did we used to do in the past? SAN replication? Oracle replication? There was a lot of operational headaches there.Anyway, while Larry was busy eating his hot dog, TCP/IP became more popular, ISP’s started appearing, Mosaic Browsers started appearing on people’s home PC’s, the whole internet revolution happened! So clever guys such as Larry and Sergei, and brave guys like Jeff Bezos were busy building global scale services. They hired a whole bunch of really clever engineers and gave them the global scale problems to solve. How many of you guys here who had a boss saying, I’ve got an e-commerce website, write a database engine that scales globally? That was the sort of bold move these have made back then. And what’s good about them is that rather than keeping all of this their trade secret, they started publishing papers on their implementations.Then this guy came along, stole Amazon Dynamo DB engineer AvinashLakshman, and built Cassandra, and eventually had it open sourced.Next slide
  • http://www.datastax.com/company/news-and-events/events/cassandrasummit2013
  • Transcript of "John Glendenning - Real time data driven services in the Cloud"

    1. 1. John Glendenning DataStax ‘Real-time data driven services in the Cloud’
    2. 2. Real-time Data Driven Services in the Cloud John Glendenning, DataStax VP & GM EMEA
    3. 3. Line of Business Manager: Adapt With Customers “I have to move as fast as my market. I can‟t get slowed down by people telling me this is going to take six months. It‟s got to be ready, quickly. No matter what. And I need to adapt quickly with my customers.
    4. 4. VP of IT: How Can I Scale Without Surprises? “Given the explosion of data in the enterprise, how can I scale my IT investment to meet the demands of my lines of business, without taking on undue risk? (My choices are to spend $10 million to scale what I‟ve got versus do something new)”
    5. 5. Nearly All Businesses Must Think Global 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
    6. 6. Your Data Demands Can Change in an Instant 2012201120102009 Fluctuating traffic demands 14 24 25 13 Fi 5 24
    7. 7. Major Changes: The Evolving Data Center
    8. 8. DataStax in the News Big movies, big data: Netflix embraces NoSQL in the cloud With billions of reads and writes daily, Netflix relies on NoSQL database Cassandra to replace a legacy Oracle deployment May 02, 2013 (AP) The company chose Cassandra from DataStax for its flexibility to create and manage data clusters quickly, particularly in the cloud. Christos Kalantzis, Netflix's manager of cloud and platform engineering, explains that "solutions like Oracle don't run very well on virtualized hardware ... the architecture of Cassandra and the availability and consistency tuning and scalability made it
    9. 9. Major Changes: The Evolving Data Center LOB App Oracl e LOB App MySQL LOB App SQL Serve r “What’s Happening?” Hyper Velocity Transactional NoSQL Data Warehouse Teradata/ Exadata “What Happened?” Massive Volume Bit Bucket Hadoop
    10. 10. What is a NoSQL Solution? • • • • •
    11. 11. What is Apache Cassandra? Apache Cassandra™ is a massively scalable distributed open source database. Cassandra is designed to handle big data workloads across multiple data centres with no single point of failure, providing enterprises with continuous availability without compromising performance.
    12. 12. Cassandra Architecture Overview • Fast / Linear performance • Elastic scalability • No single point of failure • Enterprise / multi-data center / cloud data distribution • Location independence – read and write anywhere • Tunable data consistency (per operation) • Familiar SQL-Like language – CQL • Dynamic / Flexible schema • Can store structured, semi- structured and unstructured data • Replication Strategies from Amazon Dynamo paper • Data structure and storage design from Google BigTable paper
    13. 13. Apache Cassandra Leading in Performance “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 http://techblog.netflix.com/2011/11/benchmarking- cassandra-scalability-on.html Netflix Cloud Benchmark… End Point Independent NoSQL Benchmark Highest in throughput… Lowest in latency…
    14. 14. Who‟s using Cassandra?
    15. 15. Why We Exist “I can create a Cassandra cluster in any region of the world in 10 minutes. When marketing guys decide we want to move into a certain part of the world, we‟re ready.” Today‟s applications must be always available and lightning fast as they scale to previously unimaginable levels. Cassandra delivers both with a beautifully simple and elegant architecture.
    16. 16. What We Do Best Cassandra was designed to do things that are impossible in other databases when it comes to availability and performance. Forget about losing a machine here or there -- Cassandra delivers a world where you can lose an entire datacenter and still perform as your customers expect. “We have to be ready for disaster recovery all the time. It‟s really great that Cassandra allows for active-active multiple data centers where we can read and write anywhere” Jay Patel Technical Architect at eBay (Describing why they switched from legacy relational architecture)
    17. 17. Without Breaking Your Budget “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.”
    18. 18. DataStax: An Overview • Founded in April 2010 • Home to Apache Cassandra Chair & most committers • DataStax Enterprise – „Certified for Production‟ Big Data platform • 300+ customers • 100+ employees • Headquartered in San Francisco Bay area • European HQ in London, UK • Funded by prominent venture firms
    19. 19. DataStax Enterprise Cassandra users come to DataStax For Confidence and Innovation
    20. 20. What Innovation? • Production-certified Cassandra • Round-the-clock support by the world‟s experts • Your big data system is easy to manage • Satisfy your top security officer • Search and analyze your hot data in context
    21. 21. Ask Different Things of Your Hot Data Analyze (Hadoop) Write Read Write Search (Solr) Search (Solr) Write Read DataStax Enterprise Multi-Data Center
    22. 22. With the Security You Need Analyze (Hadoop) Write Read Write Search (Solr) Search (Solr) Write Read
    23. 23. Into the Mainstream “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.”
    24. 24. Managed From a Single Pane Provision Monitor Plan Optimize Recover
    25. 25. CALL FOR PAPERS SPONSORSHIP 30+ Sessions TWO DAYSTRAINING DAY Cassandra Summit Europe 2013 CALL FOR PAPERS SPONSORSHIP OPPORTUNITY TWO DAYS 30+ SESSIONS TRAINING DAY London Barbican 2013
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