The document discusses Google Cloud services, highlighting features of Google App Engine, Google Cloud Compute Engine, and Google BigQuery. It showcases tools for scalable application development, data storage, and management, offering insights into the cloud platform's capabilities and user experiences. Noteworthy statistics include over 1 million active applications and significant operations managed by Google’s infrastructure, emphasizing its role in modern application development.

1. Mandy Waite
A Fresh Look at Google's Cloud
mandywaite@google.com
(@tekgrrl)

2. Building Apps and Services
in the Cloud

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

4. Google App Engine

5. Easy to build
Easy to scale
Easy to maintain
Opinionated framework and deployment
platform

6. 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

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

8. 1,000,000 active applications
2 Trillion datastore operations
half of active world IP addresses touch GAE
A month in the life of Google App Engine:

9. App Engine Updates and Pricing
Java 7 Support:
InvokeDynamic, try-with-resources, Flexible type creation (diamond
operator)
New features and updates:
Cloud Endpoints (experimental), larger memory options for instances, task
queue async methods, new multithreaded Python Dev Server, Python 2.5
deprecation, Django 1.4.2
Flexible pricing: free to get started, SLA from $9/mo
Range of support packages: https://cloud.google.com/support/packages

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

11. “ 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
Khan Academy

13. Frontends
Backends
Task Queues
Cron
Compute Network
URL Fetch
XMPP
Channel API
Mail API
Storage
Datastore
Memcache
Namespaces
Blobstore
Cloud SQL
Static content
Services
Images API
App Identity
Users API
MapReduce API
Pipeline API
Prospective Search API
App Engine Services and APIs

14. Google Cloud Endpoints
Business Logic
APIs for Mobile and Web Backends Made Easy
(Experimental)
Storage
(Datastore, SQL, Drive, etc)
Web APIs
Endpoints
23 Marzo - {codemotion} Laboratorio Google (Alfredo Morresi) - Aula N12
Creare RESTful API Con Google Cloud Endpoints e App Engine #labgoogle

15. Development Stack

16. Google Compute Engine

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

18. Architecture

19. Projects
[Google APIs Console] Project
● Created with APIs Console
● Collection of Compute Engine
Resources
● Team Members
○ Owner, Editor or Viewer
● Billing Information

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 (PUT/POST)
○ 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
Fast, consistent performance
Network Connected, Replicated
Snapshots for backup and restore
Shareable
Encrypted at Rest
Google Cloud Storage
Seamless Authentication
Secure Access
EU datacenter option
Ephemeral Disk
Used to boot VM
Lives and dies with VM
Encrypted at Rest

24. 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
i can haz Compute Engine?

25. Storing Data

26. Storage Systems at Google

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

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

33. Regular expressions on 15.7 billion rows...

34. Google Cloud
Storage
Upload your Data
BigQuery

35. Google Spreadsheets via Apps Script

36. Google Spreadsheets via Apps Script

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

38. It's a RESTful API

39. Wrap Up

40. Questions?
cloud.google.com

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