how datastax enterprise and azure make your apps scale from day 1

HOW DSE AND AZURE MAKE YOUR APPS SCALE FROM DAY 1CARLOS ROLOAPRIL 2016

WHO AM I?

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• Cassandra Consultant for Pythian

• I’m all about Distributed Systems

• Certified Datastax Architect

• Cassandra MVP

• Programming since 1997

• Cassandra DBA since 2011

• Previous experience:• INESC/ID

• DRI

• Portugal Telecom

• Leaseweb CDN

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ABOUT PYTHIANPythian’s 400+ professionals enable digital transformation

by helping companies adopt and manage disruptive technologies to better compete.

Systems currently managed by Pythian

EXPERIENCED

Pythian experts in 35 countries

GLOBAL

of experience gathered and shared over 19 years

EXPERTS

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11,800 2 millennia400

AGENDA

1. Building Apps

2. Scale from day 1

3. DSE and Azure

4. Do more with DSE

5. Real Examples

6. Q&A

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HOW IT ALL STARTS

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1. Identify the case for a new app/refactor

2. Design

3. Prototype

4. ????

5. Production

App Data

APP LIFECYCLE

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WHAT WE THOUGHT

Data Bus

Clients

C*App

App

WHAT IS IN PRODUCTION

• It was a prototype!• We didn’t think of:

• Performance• Scaling• Redundancy

WHY?

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• How?• Start with Cassandra▪Replication, Redundancy, Scaling for

free!• Start in the cloud▪Replication, Redundancy and Scaling!

SCALE FROM DAY 1

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• DSE• Cassandra hardened version by

DataStax• Geo-Distributed, Replicated,

Scalable Database• Azure

• Microsoft Cloud offering• Extensive service offering, available

in 27 Locations

DSE AND AZURE

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SCALE

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1

2

App C*

3

App C*C*C*App C*C*C*

App C*C*C*

DC 1

DC 2

DC 3

EASIER SAID THAN DONE…

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• It’s Cassandra!• Leverage Azure tooling!

• Templating• Deep integration with Windows• Ever increasing integration with Linux• And this:

• Requirements change• New functionalities are expected• This brings change…

DO MORE WITH DSE

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DO MORE WITH DSE (2)

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App C*C*C*App C*C*C*

App C*C*C*DC 1

DC 2

DC 3

Search Analytics Analytics Search

ADD MORE MOVING PARTS

DO MORE WITH DSE (3)

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App C*C*C* App C*C*C*

App C*C*C*

DC 1 - Cassandra

DC 2 - Analytics

DC 3 - Search

DO IT WITH DSE

• More flexibility• Less Moving parts• It is also possible to migrate!

DSE VS PLAIN CASSANDRA

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• Almost all software is “prototypes”• Change is expensive• So many moving pieces that

monitoring is non-existent• Maintenance hours eat all the

development, things tend to be as is.

REAL EXAMPLE –NO CLOUD, NO C*

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REAL EXAMPLE – CASSANDRA IN PLACE

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• Application needed to evolve to keep pace• Rebuild data model

• Easy to move data• Easy to implement search and analytics• Lots of features deployed while keep system working

• Downside:• Hours of development burned on building tooling

REAL EXAMPLE – C* + CLOUD

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• Application was suffering bad, terrible performance, difficult to maintain.• Lots of tools available and a lot of flexibility

• 1st month - app is performing better• 2nd month - monitoring is in place for everything• 3rd month - refactors are happening• Expected new launch after 5 months

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TAKEAWAYS• Start with a scalable

Foundation• Use flexible tools/platforms• Development time can be

seriously cut by using available features

• Don’t forget to shutdown your unused environments!

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Q & ATwitter: @cjroloLinkedIn: linkedin.com/carlosjuzarteroloBlog: blog.pythian.com/carlosrolo