1. Introduction to the Google
Cloud Platform
Mandy Waite, Google Developer Relations
@tekgrrl

2. 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

3. Google App Engine

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

5. 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

6. And growing: by the numbers
Google App Engine passed 7.5B+ daily hits
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

7. 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

8. Google App Engine Highlights
Fully managed SQL & NoSQL services
Rich APIs and Services:
Task Queues, Memcache, Search, Users, Cloud Endpoints,
Socket, Image, Files...
Flexible pricing: free to get started, SLA from $9/mo
Range of support packages: https://cloud.google.com/support/packages

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

10. “ With Google App Engine, we don't need a system
administrator or anyone dedicated to deploying our
app, so 99% of our time is working on our
application.. ”
Ben Kamens, Lead Engineer
Kahn Academy

13. Google Cloud Endpoints
APIs for Mobile and Web Backends Made Easy
(Experimental)
Storage
(Datastore, SQL, Drive, etc)
Endpoints
Business Logic
Web APIs

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

15. Development Stack

16. Google Compute Engine

17. Introducing Google Compute Engine
Compute Faster Scale Efficiently Save More
Vitrtual machines running on Rapidly scale to tens of thousands Benefit from low total cost of
Google environmentally friendly of cores on infrastructure designed ownership. Save more with
Infrastructure. Ideal for: for large-scale computing Google Compute Engine.
● large scale data analysis
● Batch processing
● Variable size workloads.

18. Introducing Google Compute Engine
Compute Network Storage Tooling
Launch Linux Virtual Machines Connect your VMs together to Store on persistent disk, local Control your VMs via REST API
on demand form powerful clusters disk or Cloud Storage or command line
Adding Virtual Machines to the Google Cloud Platform

19. Architecture

20. What's in a VM
Linux VMs
● Root access
● Debian-based Linux or
CentOS
● Many hardware configurations
○ 1, 2, 4, or 8 CPUs
○ Up to 52GB of RAM

21. API Basics
● JSON over HTTP
● Main Resources (Nouns)
○ Projects
○ Instances
○ Networks and Firewalls
○ Disks and Snapshots
○ Zones
○ Actions (Verbs):
● GET, POST (create) and DELETE
○ Custom ‘verbs’ for updates
○ Auth via OAuth2

22. Clients and Libraries
● gcutil: command line utility
● Web UI: Built on GAE
● Libraries
● Partners and ecosystem

23. Flexible Storage Options
Persistent Disk Ephemeral Disk Google Cloud Storage
Fast, consistent performance Used to boot VM Seamless Authentication
Network Connected, Replicated Lives and dies with VM Secure Access
Snapshots for backup and restore Encrypted at Rest EU datacenter option
Shareable
Encrypted at Rest

24. 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

25. Storing Data

26. Storage Systems at Google

27. Structured Data: NoSQL + SQL
Schemaless Familiar MySQL
Queries, Atomic Transactions Fully Managed
Best for Internet Scale, Best for Bounded Scale, highly
denormalizable DataSets structured DataSets
Think Differently ... No Joins Experimental

28. Unstructured: Google Cloud Storage

29. Google BigQuery

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

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

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

33. Regular expressions on 15.7 billion rows...

34. Upload your Data
Google Cloud
BigQuery
Storage

35. Google Spreadsheets via Apps Script

36. Google Spreadsheets via Apps Script

37. Libraries
● Java
● Python
● .NET
● PHP
● JavaScript
● Apps Script
● ... more ...

38. It's a RESTful API

39. Wrap Up

40. cloud.google.com
Questions?

41. Thank you!
http://developers.google.com/cloud