Future-proofing = creating systems that last while parts change and improve. MySQL is not losing out to other solutions for data management. The real problem is using MySQL as a building block with other technologies that are changing rapidly.

1. Future-Proofing MySQL
for the Worldwide
Data Revolution
Robert Hodges, CEO
©Continuent 2012.

2. What is Future-Proo!ng?
• Future-proo!ng = creating systems that last
while parts change and improve
• MySQL is not losing out to other solutions for
data management
• The real problem is using MySQL as a building
block with other technologies that are
changing rapidly
©Continuent 2012 2

3. But Wait... Isn’t MySQL Dead??
MySQL
“You were so open”
Born
May 25, 1995
Died
2008, 2009, 2010,
2011, 2012, ...
©Continuent 2012 3

4. Oracle/MySQL 5.6 Replication
(On the Way)
• Global transaction IDs
• Parallel slave threads
• Crash safe slaves
• Optimized row updates
• Time delay replication
• Informational log events
©Continuent 2012 4

5. Galera Synchronous Clusters
(New Arrival in 2012)
• Multi-master for InnoDB
• Synchronous replication avoids data loss
• Automatic cluster membership management
• Simple node provisioning model
• Based on innovative state-machine work from
Fernando Pedone
©Continuent 2012 5

6. Tungsten Async Replication
(2011 Belle of the Ball)
• All 5.6 features including parallel replication
for MySQL 5.0 onwards
• Optimized support for failover
• Programmable transaction !ltering
• Backup/restore integration
• Multi-master, fan-in, and star replication
• Replication to/from Oracle and batch loading
of data warehouses
• Replication to MongoDB
©Continuent 2012 6

7. Not Bad for a Dying Market
THE$TOTAL$MARKET$FOR$MYSQL,$NOSQL$$
My/NewSQL,' AND$NEWSQL$$
5%'
NewSQL,'2%' 1000"
900"
NoSQL,'5%' 800"
700"
600" Text
500"
MySQL,'88%' 400"
300"
200"
100"
0"
(451Group) 2011" 2012" 2013" 2014" 2015"
©Continuent 2012 7

8. MySQL Is Part of Bigger Trends
• Cloud and Big Data investment dwarf the
MySQL marketplace
©Continuent 2012 8

9. 21st Century CRM/Call Center
Fat Client CRM Web CRM Web
Accounting Application Application
Call
Session
Data
Online
Legacy
Transaction Hadoop
Oracle
Processing Analytics
On-Premise Amazon Web Services Telephony Telephony
Data Streams Data Streams
©Continuent 2012 9

10. Revolutionary Challenges for MySQL
• Failures in unstable cloud environments
• Zero-downtime maintenance
• Rapidly growing data volumes, esp. in cloud
• Distributing data to geographical regions
• Integration between MySQL, NoSQL,
commercial RDBMS
• Supplying real-time analytics
• Technology upgrade/replacement
©Continuent 2012 10

11. The Cure for Mixed System Spaghetti
Data Fabrics
Encapsulated, fault-tolerant,
horizontally scalable, globally
accessible, integrated data
©Continuent 2012 11

12. Data Fabric Design Patterns
• Connector
• Fault-Tolerant Data Service Tungsten Connector
• Sharded Data Service
• Multi-Site Data Service
• Real-Time Data Bridge
Three-node
Tungsten Cluster
©Continuent 2012 12

13. 1. Connector
• Single point of entry for applications
• Service catalog locates data within fabric
• Transparent connectivity, multiple protocols
• Security, auditing, performance management
Connector
Application
Application
Stack
Stack
Connector
©Continuent 2012 13

14. 2. Fault-Tolerant Data Service
• Encapsulate redundant database copies
• Sync and async clustering models
• Protect against local DBMS failure
• Rolling maintenance of replicas
Master/ Multi-
Slave Master
©Continuent 2012 14

15. 3. Sharded Data Service
• Partition datasets based on RAM / storage
speed / resident set size
• Multiple buckets per server
• Look-up methods for locating data in buckets
• Re-sharding / migration for high growth
©Continuent 2012 15

16. 4. Multi-Site Data Service
• Robust protection against region/site failures
• Geographic distribution of data
• Primary/DR vs. multi-master
• Eventually consistent replication for SQL
Amazon East
EU West
US East APAC Tokyo Rackspace DFW
©Continuent 2012 16

17. 5. Real-Time Data Bridge
• Replicate from logs in real-time
• Enable apps to get data from one data source
• Heterogeneous transfer and transformation
• High performance, low application impact
Bridge
Bridge
Bridge
©Continuent 2012 17

18. Future-Proofed CRM/Call Center Data
Fat Client CRM Web CRM Web Telephony Telephony
Accounting Application Application Data Streams Data Streams
Fabric Fabric Fabric Fabric Fabric
Connector Connector Connector Connector Connector
Bridge Bridge Call
Session
Bridge Bridge Data
Legacy Oracle OLTP
Primary
Bridge
Hadoop
Analytics
OLTP DR Data Marts
©Continuent 2012 18

19. Future-Proofed CRM/Call Center Data
Fat Client CRM Web CRM Web Telephony Telephony
Accounting Application Application Data Streams Data Streams
Fabric Fabric Fabric Fabric Fabric
Connector Connector Connector Connector Connector
Bridge Bridge Call
Session
Bridge Bridge Data
Legacy Oracle OLTP
Primary
Bridge
Hadoop
Analytics
OLTP DR Data Marts
©Continuent 2012 19

20. MySQL Future-Proo!ng: Conclusion
• MySQL is doing great but the cloud and Big
Data have created a new set of challenges
• Data Fabric architecture cures mixed system
spaghetti and future-proofs MySQL
• Continuent products implement fabric design
patterns
• Our humble ambition: cover the entire Data
Fabric, not just MySQL
©Continuent 2012 20

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©Continuent 2012.