This document discusses some principles for using cloud computing that were previously unexpected. It notes that cloud computing enables massive data and high user concurrency across different devices. Some key principles for cloud include elasticity, pay as you go models, fault tolerance, asynchronous operations, automation, testing in production, and continuous deployment.

1. #GX23
Nunca digas nunca: la nube y algunos principios
que no pensabas que llegarías a usar
#GX3142 @fmachadopiriz

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
Massive data
Tons of users, high
concurrency
Some cloudDifferent devices Look like services
Lot of transactions

4. Products Services
Many features
Development lifecycle
Impact of issues limited, habit to wait
Mean time to failure
Unknown consumption habits
Problems in products or environments
Quality control of units
On time, on budget
Slow update pace
Reliability and agility over features
Continuousdevelopment
Widerimpact,24x7x365expectedsupport
Mean time to resolution
Detailed usage patterns
Black box problems
Proactivemonitoringofsystemcomponents
Up and running at appropriate costs
Continuousupdates
4

6. 6
Virtual Machines Web Sites Database
Storage Messaging Identity

7. 7
Elasticity Pay as you go
Pooled and shared
resources
Metered
New scenariosCheaper

8. 8

9. 9

11. 11
Faults
Domains
Upgrade
Domains
Eventual
Consistency
Default to
Asynchronous
Compensating
Behavior Timeouts
Handle
Transient Faults
Degrade
Gracefully

13. 13
LoggingInstrumentation Telemetry

15. 15
Automate
Everything
Testing in
Production
Continuous
Deployment
Design for
operations

17. Contacto:
Dr. Fernando Machado Píriz, Ph.D.
Enterprise Architect
Microsoft
fmachado@microsoft.com
@fmachadopiriz