#GX23
Nunca digas nunca: la nube y algunos principios
que no pensabas que llegarías a usar
#GX3142 @fmachadopiriz
1PB data, 27M users 400M users
2B mins/day 500M tweets/day
80M visits/day, 183M products 100M GB index
1.15B active users/...
3
Massive data
Tons of users, high
concurrency
Some cloudDifferent devices Look like services
Lot of transactions
Products Services
Many features
Development lifecycle
Mean time to failure
Unknown consumption habits
On time, on budget
S...
6
Virtual Machines Web Sites Database
Storage Messaging Identity
7
Elasticity Pay as you go
Pooled and shared
resources
Metered
New scenariosCheaper
8
9
11
Faults
Domains
Upgrade
Domains
Eventual
Consistency
Default to
Asynchronous
Compensating
BehaviorTimeouts
Handle
Transi...
13
LoggingInstrumentation Telemetry
15
Automate
Everything
Testing in
Production
Continuous
Deployment
Design for
operations
16
¿Preguntas?
Hands on lab de Window Azure
Interesados pasar por el stand
¡Gracias!
Contacto:
Dr. Fernando Machado Píriz, Ph.D.
Enterprise Architect
Microsoft
fmachado@microsoft.com
@fmachadopiriz
Nunca digas nunca:  La nube y algunos principios que no pensabas que llegarías a usar
Nunca digas nunca:  La nube y algunos principios que no pensabas que llegarías a usar
Nunca digas nunca:  La nube y algunos principios que no pensabas que llegarías a usar
Nunca digas nunca:  La nube y algunos principios que no pensabas que llegarías a usar
Nunca digas nunca:  La nube y algunos principios que no pensabas que llegarías a usar
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Nunca digas nunca: La nube y algunos principios que no pensabas que llegarías a usar

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Nunca digas nunca: La nube y algunos principios que no pensabas que llegarías a usar

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Nunca digas nunca: La nube y algunos principios que no pensabas que llegarías a usar

  1. 1. #GX23 Nunca digas nunca: la nube y algunos principios que no pensabas que llegarías a usar #GX3142 @fmachadopiriz
  2. 2. 1PB data, 27M users 400M users 2B mins/day 500M tweets/day 80M visits/day, 183M products 100M GB index 1.15B active users/month 2
  3. 3. 3 Massive data Tons of users, high concurrency Some cloudDifferent devices Look like services Lot of transactions
  4. 4. Products Services Many features Development lifecycle Mean time to failure Unknown consumption habits On time, on budget Slow update pace Reliability and agility over features Continuous development Mean time to resolution Detailed usage patterns Up and running at appropriate costs Continuousupdates 4
  5. 5. 6 Virtual Machines Web Sites Database Storage Messaging Identity
  6. 6. 7 Elasticity Pay as you go Pooled and shared resources Metered New scenariosCheaper
  7. 7. 8
  8. 8. 9
  9. 9. 11 Faults Domains Upgrade Domains Eventual Consistency Default to Asynchronous Compensating BehaviorTimeouts Handle Transient Faults Degrade Gracefully
  10. 10. 13 LoggingInstrumentation Telemetry
  11. 11. 15 Automate Everything Testing in Production Continuous Deployment Design for operations
  12. 12. 16
  13. 13. ¿Preguntas? Hands on lab de Window Azure Interesados pasar por el stand ¡Gracias!
  14. 14. Contacto: Dr. Fernando Machado Píriz, Ph.D. Enterprise Architect Microsoft fmachado@microsoft.com @fmachadopiriz

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