2. Introduction to the Google
Cloud Platform
Alexis Moussine Pouchkine, Martin Görner, Google Developer Relations
Didier Girard, SFEIR

3. How many machines do you need?

4. Big Data at Google
72 hours
100 million gigabytes
425 million users

5. Servers? They can be aesthetically pleasing (street view)

6. Google Cloud Platform
Google Google
Google BigQuery
App Engine Compute Engine Interactive analysis of massive datasets at
speed
Scalable application Virtual machines
development and
execution environment Google Cloud SQL
Run arbitrary workloads at scale Performant and scalable service for storing
NoSQL Datastore and accessing data
(e.g. Hadoop, scientific computing)
Auto-scaling Frontends
Long-lived Backends
Task Queues
Google Cloud Storage
MySQL-based, fully managed service

7. Google App Engine

8. Opinionated web framework and deployment platform
Easy to build
Easy to scale
Easy to maintain

9. Get up and running quickly - NO Servers
SDK
Python, Java, Go runtimes
Local development server, Eclipse
Google Infrastructure
Auto-scales
Admin Console
Easy management
Logs

10. And growing: by the numbers
Google App Engine passed 7.5B+ daily hits
1,000,000 active applications
2012
Google Google Cloud SQL
Storage Storage GA Announce
Announce Out of
Python Runtime Java Runtime Task Queues High Backends,
Preview
BigQuery Replication Pull Queues
SLA Cloud SQL
Announce Datastore Support GA
BigQuery GA

11. A month in the life of Google App Engine:
1,000,000 active applications
2 Trillion datastore operations
half of active world IP addresses touch GAE

12. Google App Engine Highlights
Fully managed SQL
and NoSQL services
Rich APIs and Services
Flexible pricing:
Free to get started
SLA from $9/mo
Range of support packages:
https://cloud.google.com/support/packages

13. App Engine application architecture
stateless servers, state in memchache and datastore => SCALE
No SQL datastore
Memcache
stateless front instances
stateless load balancer

14. Google App Engine European Data Centers
Compliance and Locality
Application Hosting in EU
Data replicated within EU

17. end 2011:
Pulse preinstalled on Kindle fire
http://googleappengine.blogspot.com/2011/11/scaling-with-kindle-fire.html

18. "I used to be blind,
AppStats but now I can see :-)"
-- An Early AppStats user

19. Google Cloud Endpoints
APIs for Mobile and Web Backends Made Easy
(Experimental)

20. Cloud SQL
● Familiarity: MySQL 5.5
● Easy management: zero admin configuration
and backups
● Security: synchronous geo-replication
● Flexibility: only pay for access time

21. Search API
(Experimental)
Add Google-like full-text search to
your application
● Custom scoring and
snippeting
● GeoSearch

22. Development Stacks
Java: also available:
+
GO

23. Google Compute Engine

24. High level view
● Infrastructure as a Service (IaaS)
● Virtual Machines running on Google Infrastructure
● Advanced performance, networking, scalability and security services
Great for
● Large scale analysis
● Batch processing
● Variable sized workloads

25. Architecture JSON over HTTP
VM:
● Debian or CentOS
● 1, 2, 4, or 8 CPUs
● Up to 52GB of RAM

26. i can haz Compute Engine?
Right now:
● Limited preview
● Focused on compute intensive and batch
workloads
● SLA and support available to commercial
customers
● Apply: http://cloud.google.com
● Talk to us! We're happy to discuss your
use case
CC Image courtesy of London looks

27. Storing Data

28. Storage Systems at Google

29. Google BigQuery

30. BigQuery gives you this power
Store data with reliability, redundancy and
consistency
Go from data to meaning
At scale ...
Quickly!

31. How are developers using it?
Game and social media analytics
Infrastructure monitoring
Advertising campaign optimization
Sensor data analysis

32. Upload your Data
Google Cloud
BigQuery
Storage

33. Regular expressions on 15.7 billion rows...

34. Thank you!
http://developers.google.com/cloud
Martin Görner gplus.to/martin.gorner
Alexis Mousine Pouchkine @alexismp
Didier Girard @didiergirard