Devf (Shoe Lovers)

Oct 30, 20141 like454 views

Alejandro Arza

A general overview of the things we are doing @ Shoe Lovers and the technical challenges we are facing.

Retos
• Hacer lo que te apasiona.
• Las recompensas vienen solas.
• Utilizar todas las herramientas a tu alcance.

Shoe Lovers
• Comunidad con 25,000,000 de seguidores en
Facebook.
• Más de 8,000,000 de interacciones al día.
• Social Commerce (uso de interacciones sociales
para facilitar y promovers transacciones
electrónicas de compra/venta).
• Un reto técnico pero al final un negocio rentable.

Nuestro Stack
• LAMP (SoftLayer, AWS)
• Google Cloud

LAMP AWS
• EC2 (Elastic Compute Cloud, instance types, zones)
• S3 (Simple Storage Service)
• Load Balancer (Sessions)
• RDS (Relational Database Server)
• Managed vs. Self Managed
• Master & Read Replica(s) -> delay
• Redshift, DynamoDB, ElastiCache, SES, SQS
• Autoscaling (cloudwatch)
• Caching (redis, memcache)
• Optimizar para costos de operación

LAMP AWS
http://techblog.netflix.com/2012/06/asgard-web-based-cloud-management-and.html

Google Cloud
• App engine
• Datastore (BigTable) (stats)
• Blobstore (image service) (demo)
• Memcache (ndb datastore api)
• CloudSQL
• Map-Reduce
• Compute Engine

class PostLike(ndb.Model):
Datastore
parent_id=ndb.StringProperty()
sender_id=ndb.StringProperty()
verb=ndb.StringProperty()
created_time=ndb.IntegerProperty()
source= ndb.StringProperty() #the source can be facebook or the website
deleted = ndb.BooleanProperty(default=False)
created = ndb.DateTimeProperty(auto_now_add=True)
modify = ndb.DateTimeProperty(auto_now=True)
post_picture=ndb.StringProperty()
user_picture=ndb.StringProperty()
!
newLike= localmodels.PostLike(parent_id =parent_id, sender_id = sender_id, verb=verb,
created_time=created_time , source=‘FBRT')
!
newLike.put()
!
newLike.key.delete()
!
likesPost= localmodels.PostLike.query(localmodels.PostLike.parent_id==post_id).fetch(10)

Blobstore & Image Service
class BlobstoreUploadHandler(blobstore_handlers.BlobstoreUploadHandler):
def post(self):
upload_files = self.get_uploads('file')
blob_info = upload_files[0]
blob_key=blob_info.key()
serving_url= images.get_serving_url(blob_key)
return serving_url
!
!
!
POST multipart/form-data
!
!

Blobstore & Image Service
Blob key:
AMIfv96pxt34ek2mz_aS8i24hTJW7ZAnELPf15B8rp2XYzCg8yz6JklfBejG1izZrnxeReS
dvhlX6cXIkGABNu2esQQB5ocPxAumYCKdLqgGx8RRFTTTg7HvNiemHoEXi7u82ucz
HRolloLenagWJ9ASl-QHng2SRXvFZP_0045-Y8QjOGvRMkI
!
Serving URL (crop, resize):!
http://lh3.ggpht.com/
IhESBu6X7DGzTRc5F6LhfMEKN-3UhPXjv9_7d0nkg_2EOuQFhzu_TdBSnSi08mHVCl
WZ_po-j3lsFTISJPFJffP1e3o_xg=s0
!
http://lh3.ggpht.com/
IhESBu6X7DGzTRc5F6LhfMEKN-3UhPXjv9_7d0nkg_2EOuQFhzu_TdBSnSi08mHVCl
WZ_po-j3lsFTISJPFJffP1e3o_xg=s200
!
http://lh3.ggpht.com/
IhESBu6X7DGzTRc5F6LhfMEKN-3UhPXjv9_7d0nkg_2EOuQFhzu_TdBSnSi08mHVCl
WZ_po-j3lsFTISJPFJffP1e3o_xg=s200-c

Memcache
data = memcache.get(key)
!
if data is None:
data=getDataFromDB(key)
memcache.add(key, data)
return data

Challenge
• Extract value from all that info:
• Patterns
• Trends
• Recommendations

Future
• Big Query
• Backends
• Prediction.io
• Apache Spark (ML)
• Cassandra (Datastax)

References
• https://github.com/coto/gae-boilerplate
• https://www.udacity.com/course/cs253
• http://es.slideshare.net/kigster/scaling-wanelocom-100x-in-six-months
• https://spark.apache.org/
• https://github.com/Netflix/asgard
• http://techblog.netflix.com/

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Devf (Shoe Lovers)

1. Shoe Lovers @ dev.f Octubre 2014

2. Retos • Hacer lo que te apasiona. • Las recompensas vienen solas. • Utilizar todas las herramientas a tu alcance.

3. Shoe Lovers • Comunidad con 25,000,000 de seguidores en Facebook. • Más de 8,000,000 de interacciones al día. • Social Commerce (uso de interacciones sociales para facilitar y promovers transacciones electrónicas de compra/venta). • Un reto técnico pero al final un negocio rentable.

4. Primeros Hacks ¿Comprar o construir?

5. Escalando • Infraestructura • Equipos

6. Nuestro Stack • LAMP (SoftLayer, AWS) • Google Cloud

7. LAMP AWS • EC2 (Elastic Compute Cloud, instance types, zones) • S3 (Simple Storage Service) • Load Balancer (Sessions) • RDS (Relational Database Server) • Managed vs. Self Managed • Master & Read Replica(s) -> delay • Redshift, DynamoDB, ElastiCache, SES, SQS • Autoscaling (cloudwatch) • Caching (redis, memcache) • Optimizar para costos de operación

8. LAMP AWS http://techblog.netflix.com/2012/06/asgard-web-based-cloud-management-and.html

9. Google Cloud • App engine • Datastore (BigTable) (stats) • Blobstore (image service) (demo) • Memcache (ndb datastore api) • CloudSQL • Map-Reduce • Compute Engine

10. Requests, Latency, Instances

11. class PostLike(ndb.Model): Datastore parent_id=ndb.StringProperty() sender_id=ndb.StringProperty() verb=ndb.StringProperty() created_time=ndb.IntegerProperty() source= ndb.StringProperty() #the source can be facebook or the website deleted = ndb.BooleanProperty(default=False) created = ndb.DateTimeProperty(auto_now_add=True) modify = ndb.DateTimeProperty(auto_now=True) post_picture=ndb.StringProperty() user_picture=ndb.StringProperty() ! newLike= localmodels.PostLike(parent_id =parent_id, sender_id = sender_id, verb=verb, created_time=created_time , source=‘FBRT') ! newLike.put() ! newLike.key.delete() ! likesPost= localmodels.PostLike.query(localmodels.PostLike.parent_id==post_id).fetch(10)

12. Datastore

13. Datastore 6 días de ‘Likes’

14. Datastore 6 días de ‘Comments’

15. Blobstore & Image Service class BlobstoreUploadHandler(blobstore_handlers.BlobstoreUploadHandler): def post(self): upload_files = self.get_uploads('file') blob_info = upload_files[0] blob_key=blob_info.key() serving_url= images.get_serving_url(blob_key) return serving_url ! ! ! POST multipart/form-data ! !

16. Blobstore & Image Service Blob key: AMIfv96pxt34ek2mz_aS8i24hTJW7ZAnELPf15B8rp2XYzCg8yz6JklfBejG1izZrnxeReS dvhlX6cXIkGABNu2esQQB5ocPxAumYCKdLqgGx8RRFTTTg7HvNiemHoEXi7u82ucz HRolloLenagWJ9ASl-QHng2SRXvFZP_0045-Y8QjOGvRMkI ! Serving URL (crop, resize):! http://lh3.ggpht.com/ IhESBu6X7DGzTRc5F6LhfMEKN-3UhPXjv9_7d0nkg_2EOuQFhzu_TdBSnSi08mHVCl WZ_po-j3lsFTISJPFJffP1e3o_xg=s0 ! http://lh3.ggpht.com/ IhESBu6X7DGzTRc5F6LhfMEKN-3UhPXjv9_7d0nkg_2EOuQFhzu_TdBSnSi08mHVCl WZ_po-j3lsFTISJPFJffP1e3o_xg=s200 ! http://lh3.ggpht.com/ IhESBu6X7DGzTRc5F6LhfMEKN-3UhPXjv9_7d0nkg_2EOuQFhzu_TdBSnSi08mHVCl WZ_po-j3lsFTISJPFJffP1e3o_xg=s200-c

17. Memcache data = memcache.get(key) ! if data is None: data=getDataFromDB(key) memcache.add(key, data) return data

18. Memcache

19. Challenge • Extract value from all that info: • Patterns • Trends • Recommendations

20. Future • Big Query • Backends • Prediction.io • Apache Spark (ML) • Cassandra (Datastax)

21. References • https://github.com/coto/gae-boilerplate • https://www.udacity.com/course/cs253 • http://es.slideshare.net/kigster/scaling-wanelocom-100x-in-six-months • https://spark.apache.org/ • https://github.com/Netflix/asgard • http://techblog.netflix.com/

22. “Focus on where you want to go, not on what you fear.” –Anthony Robbins

Devf (Shoe Lovers)

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