#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
Impact of issues limited, habit to wait
Mean time to failure
Unknown...
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
Behavior Timeouts
Handle
Trans...
13
LoggingInstrumentation Telemetry
15
Automate
Everything
Testing in
Production
Continuous
Deployment
Design for
operations
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 llegarias a usar
Nunca digas nunca  la nube y algunos principios que no pensabas que llegarias a usar
Nunca digas nunca  la nube y algunos principios que no pensabas que llegarias a usar
Nunca digas nunca  la nube y algunos principios que no pensabas que llegarias a usar
Nunca digas nunca  la nube y algunos principios que no pensabas que llegarias a usar
Upcoming SlideShare
Loading in...5
×

Nunca digas nunca la nube y algunos principios que no pensabas que llegarias a usar

59

Published on

Published in: Technology, Business
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
59
On Slideshare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
3
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Nunca digas nunca la nube y algunos principios que no pensabas que llegarias 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 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
  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 Behavior Timeouts 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. Contacto: Dr. Fernando Machado Píriz, Ph.D. Enterprise Architect Microsoft fmachado@microsoft.com @fmachadopiriz
  1. A particular slide catching your eye?

    Clipping is a handy way to collect important slides you want to go back to later.

×