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Google App Engine

APIs :Overview

Feb – March, 2010

Patrick ChanezonDeveloper AdvocateGoogle Developer Relationschanezon@google.com

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Agenda

-App Engine introduction

-Why build it?

-App Engine tour

-What's different?

-Wrap up

-Questions

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Pla

cePosta

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IaaSPaaS

SaaS

What is cloud computing?

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IaaS value proposition…

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Google App Engine

“We wear pagers so you don’t have to”

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Google App Engine

-Easy to build

-Easy to maintain

-Easy to scale

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By the numbers

- Built 100K apps

- Maintained by 250K developers

- Scaled to 250M pageviews daily

semi-transparent collage of apps

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gigya Socialize

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Gigya Socialize - traffic

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App Engine

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Why build it?

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It's just too difficult

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Hosting means hidden costs

• Idle capacity• Software patches & upgrades• License fees• Lots of maintenance• Traffic & utilization forecasting• Upgrades

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Cloud development in a box

• SDK & “The Cloud”• Hardware• Networking• Operating system• Application runtime

o Java, Python• Static file serving• Services• Fault tolerance• Load balancing

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Easy to deploy & scale

http://www.yourdomain.com/

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Google App Engine

Leveraging Google'splatform to better serveyour customers

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Distributed Meme: Divide & ConquerSpecialized services

BlobstoreImages

Mail XMPP Task Queue

Memcache Datastore URL Fetch

User Service

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Language runtimes

Duke, the Java mascotCopyright © Sun Microsystems Inc., all rights reserved.

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Ensuring portability

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Complete Java development stack

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Google Plugin for Eclipse

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Google's scalable serving architecture

Google Apps + your apps

Your custom applicationsOur Google Apps

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Google Apps integration

http://appid.appspot.com/

http://yourapp.yourdomain.com/

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Google Apps + App Engine

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Federate your on-premise data

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Secure Data Connector (SDC)

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Secure Data Connector

and 50+ more...

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Your application's health

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App Engine's health history

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Distributed datastore

http://labs.google.com/papers/bigtable.html

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Shard 1

Shard 2      .      .

Shard n

Bigtable :A distributed, sharded, sorted array

 Row key    Row data

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Datastore design

-Distributed

-Bigtable + entity groups

-ACID transactions

-Optimistic concurrency

-Entities + indexes

-Protobuf encoded entities

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Datastore properties

-Core value types

-List properties

-Text & binary blobs

-Reference

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What's different?

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Datastore - what's new

-Distributed

-Scales to 'internet scale'

-No deadlocks

-Predictable query performance

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Datastore - what's different

-No inner/outer/natural joins

-Dense index scans

-Per entity metadata

-Soft schema

-No more DDL

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An evolving platform

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Apr 2008 Python launchMay 2008 Memcache, Images APIJul 2008 Logs exportAug 2008 Batch write/deleteOct 2008 HTTPS supportDec 2008 Status dashboard, quota detailsFeb 2009 Billing, larger filesApr 2009 Java launch, DB import, cron support, SDCMay 2009 Key-only queriesJun 2009 Task queuesAug 2009 Kindless queriesSep 2009 XMPPOct 2009 Incoming emailDec 2009 BlobstoreFeb 2010 Datastore cursors, Async Urlfetch

23 months in review

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- Support for mapping operations across datasetsAlerting system for exceptions in your applicationDatastore dump and restore facility

App Engine Roadmap

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Wrap up

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Always free to get started

~5M pageviews/month• 6.5 CPU hrs/day• 1 GB storage• 650K URL Fetch calls/day• 2,000 recipients emailed• 1 GB/day bandwidth• 100,000 tasks enqueued• 650K XMPP messages/day

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Purchase additional resources *

* free monthly quota of ~5 million page views still in full effect

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Thank you

Read morehttp://code.google.com/appengine/

Contact infoPatrick ChanezonDeveloper Advocatechanezon@google.comhttp://twitter.com/chanezon

Questions?

Thanks

To Alon Levi, Fred Sauer, Brett Slatkin and others for their slides