Pierre Gilot is a solution architect from Amazon Web Services. Check out his previous workshop (in French): http://bit.ly/1MP6ZkH. On this workshop, Pierre will explain how to create a serverless app that can scale virtually unlimited users without any infrastructure or servers to manage. You'll learn key concepts and how the AWS SDKs make it easy to create powerful applications for an always-on world that connects beyond the desktop.

1. © 2015, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Pierre Gilot, Solutions Architect
Novembre 2015
Build Scalable, Serverless
Mobile & IoT Back Ends with AWS
Lambda

2. • A brief introduction to AWS Lambda
• How to use Amazon Cognito & Amazon Mobile Analytics
• Build an Amazon API Gateway and AWS Lambda CRUD
back end with DynamoDB
• Leverage AWS Lambda to power an event-­driven mobile
back end
• Push and alert mobile apps through Amazon SNS

3. First, a little bit about Lambda

4. AWS Lambda
COMPUTE
SERVICE
EVENT
DRIVEN
Run code
without thinking
about servers
Code only runs
when it needs to
run

5. AWS Lambda: Benefits
EVENT-­DRIVEN SCALESERVERLESS SUBSECOND BILLING

6. AWS Lambda: Capabilities
BRING YOUR OWN CODE COMPUTE “POWER LEVELS”
FLEXIBLE INVOCATION PATHS GRANULAR PERMISSIONS CONTROL

7. AWS Lambda: How it works
AUTHOR CONFIGURE
DEPLOY LOG AND MONITOR

8. Multiple ways to put Lambda to work
AWS
CloudFormation
custom
resources
… and the list will
continue to grow!
Amazon Echo
skills
Amazon SWF
tasks
Customized
notifications with
Amazon SNS
Amazon Cognito
triggers
Amazon S3
triggers
Amazon
Dynamo DB
triggers
Amazon
Kinesis
processors
Microservices
with API
Gateway

9. Cloud back end for mobile apps

10. Back-­end wish list
What it does
User administration
Content storage
Push notifications
Analyze user behavior
Custom app logic
How it behaves
Cost follows usage
Minimal undifferentiated heavy lifting
Iterative development
Reduced time to market
Instant scale
Reliable and secure

11. Amazon Cognito
Authenticate & sync
Amazon Mobile Analytics
Analyze user behavior
AWS Lambda
Run business logic
Amazon S3
Amazon DynamoDB
Store content
Store data
Amazon SNS mobile push
notifications
Send push notifications
Back-­end architecture on AWS
Mobile SDK
Amazon API Gateway

12. Sample app: “Find-­a-­Like”
• Premise: Create a profile with interests
and get notified when like-­minded users
are nearby
• Functionalities:
• Create a profile with interests and upload
content
• Track location continuously
• Notify when users with similar interests are
close by
• Log and analyze app usage

13. Let’s think in layers
Create profile, upload
content, and track usage
Track location and user
interests
Match and alert users
App-­centric
“You”
Activity-­centric
“What you do”
User base-­centric
“Them & me”
1
2
3

14. Create a profile, upload content,
and track usage
1

15. Cognito
Mobile Analytics
SNS Mobile Push
Kinesis Recorder DynamoDB Mapper S3 Transfer Manager
SQS Client
AWS global infrastructure (regions, Availability Zones, edge locations)
Core building
block services
Mobile-­optimized
connectors
Your mobile app
AWS Mobile SDK (iOS, Android, Unity, Xamarin)
Compute Storage Networking Analytics Databases
Integrated SDK
Lambda
AWS Mobile SDKs

16. Security model for AWS API calls
Mobile client
IAM PermissionsAWS Security
Token Service
1. Request token
2. Receive temporary
credentials
3. Sign API request
with temporary token
AWS service APIs
4. Make API request
against AWS service API

17. Authenticate your user: Amazon Cognito
• Generate temporary credentials
and enforce rotation to limit
credential lifetime
• Authenticate user through third-­party
authentication provider
• Unique users across multiple
devices and identity providers
• Allows anonymous user access
• Enables security best practices
through IAM roles

18. Use Cognito for authentication on iOS
//Create and configure Cognito credentials provider
AWSCognitoCredentialsProvider *credentialsP = [AWSCognitoCredentialsProvider
credentialsWithRegionType:AWSRegionUSEast1
accountId:@"0123456789”
identityPoolId:@”us-east-1:beeeeeef-beef-beef-beef-beef”
unauthRoleArn:@"arn:aws:iam::0123456789:role/Unauth”
authRoleArn:@"arn:aws:iam::0123456789:role/Auth"];
//Set Cognito as default credentials provider for all AWS service calls
AWSServiceConfiguration *configuration = [AWSServiceConfiguration
configurationWithRegion:AWSRegionUSEast1
credentialsProvider:credentialsP];
[AWSServiceManager defaultServiceManager].defaultServiceConfiguration =
configuration;

19. Create your profile: Cognito Sync
• Create your app profile and save it
locally in the Cognito data store
• Cognito will synchronize the data sets
across all your user’s devices
• Cognito data sets are key/value pairs
AWSCognito *syncClient = [AWSCognito defaultCognito];
AWSCognitoDataset *subs = [syncClient
openOrCreateDataset:@”UserProfile"];
[dataset setString:”Oli" forKey:@”name"];
[dataset setString:”50km" forKey:@”interestRadius"];
[dataset synchronize];

20. Upload a profile picture: S3 Transfer Utility
• Amazon S3 to store and share UGC
directly from the mobile device
• S3 Transfer Utility provides:
• Ability to continue transferring data in
the background when your app is
not running
• Ability to upload binary data instead
of having to first save it as a file on
the device
Amazon S3

21. S3 Transfer Utility: iOS code
NSData *dataToUpload = // The data to upload
AWSS3TransferUtility *transferUtility = [AWSS3TransferUtility
defaultS3TransferUtility];
[[transferUtility uploadData:dataToUpload
bucket:@"YourBucketName"
key:@"YourObjectKeyName"
contentType:@"text/plain"
expression:expression
completionHander:completionHandler]
continueWithBlock:^id(AWSTask *task) {
if (task.result) {
AWSS3TransferUtilityUploadTask *uploadTask = task.result;
// Do something with uploadTask
}
}

22. Track app usage: Amazon Mobile Analytics
• Allows you to collect, visualize, and
understand your mobile app usage
• Scales seamlessly to billions of events
per day
• You retain full control and ownership
of the data
Amazon Mobile
Analytics
AWSMobileAnalytics *analytics =
[AWSMobileAnalytics
mobileAnalyticsForAppId:@"yourAppId”
identityPoolId: @"cognitoId"];

24. Let’s think in layers
Create profile, upload
content, and track usage
Track location and user
interests
Match and alert users
App-­centric
“You”
Activity-­centric
“What you do”
User base-­centric
“Them & me”
1
2
3

25. Track location and user interests
2

26. How to collect location and interests?
Back-­end logic DatabaseMobile

27. “Location Tracker” and “Interest” microservice
Amazon
Lambda
Amazon API
Gateway
Amazon
DynamoDB
• /location
• /interests
• reportLocation()
• likeInterest()
• createInterest()
• listInterest()
Microservice
• location-­table
• interest-­table

28. Concepts first: Geohash
GeoHash is a lat/long
geocode system that
subdivides space into
buckets on a grid.
Can be numerical
(e.g.6093522776912656
819)
Divide the planet earth
into six cells
(A,B,C,D,E,F) like the
six faces of a cube.
Divide each cell into
child cells, and divide
child cells into more
child cells. The red dot
here would thus be
A224.
Works with
DynamoDB!
How does it work?

29. Geo library for Amazon DynamoDB
• Java library to easily create and query
geospatial data in DynamoDB using GeoHashes
GeoPoint point = new GeoPoint(47.62, -122.34);
// find places 250m of Seattle’s Space Needle
QueryRadiusRequest request = new
QueryRadiusRequest(point, 250);
QueryRadiusResult result =
geoDataManager.queryRadius(request);
https://github.com/awslabs/dynamodb-­geo
Works with
Lambda!

30. Amazon API Gateway
• Fully managed and scalable RESTful
API gateway service
• Powered through our content
delivery network via our 53 global
edge locations
• Provides DDoS protection and
throttling capabilities
• Multiple API stages which you define
(e.g. dev, test, prod)
AWS Lambda
Amazon API
Gateway
Amazon
EC2
AWS API
On-­prem
server

31. When to choose API Gateway vs. direct SDK?
• Amazon API Gateway adds an additional
layer between your mobile users and your
logic and data stores in order to:
• Allow back-­end logic to be interchanged
without mobile app code modifications
• Ability to throttle individual users or requests
• Protect against DDoS attacks including
counterfeit requests (Layer 7) and SYN floods
(Layer 3)
• Provide a caching layer for your calls

32. Let’s think in layers
Create profile, upload
content, and track usage
Track location and user
interests
Match and alert users
App-­centric
“You”
Activity-­centric
“What you do”
User base-­centric
“Them & me”
1
2
3

33. Match and alert users
3

34. DynamoDB
streams
Cognito
Sync trigger
S3 event
notification
AWS Lambda: Event-­driven compute

35. Find a proximity match based on interests
/location
REST API
Profile
(proximity
setting)
Interest table
AWS SDK call
reportLocation()
Invoke
findMatch()
DynamoDB Streams
GeoHash table
AWS SDK call
Interest tablelikeInterest()
/interest

36. DynamoDB Streams processor: findMatch()
exports.handler = function(event, context) {
// Process all the records in the stream
event.Records.forEach(function(record) {
var newLocation = record.dynamodb.NewImage.geohash.S;
if (findProximityMatch(newLocation)) {
// Found match!
}
});
context.succeed();
};

37. We found a match. Now what?

38. Amazon SNS mobile push notifications
• Amazon SNS is a fully
managed, cross-­platform
mobile push intermediary
service
• Fully scalable to millions
of devices
• Allows you to create
topics (e.g. per geo,
interest, usage pattern,
etc.)
Amazon SNS
Apple APNS
Google GCM
Amazon ADM
Windows WNS and
MPNS
Baidu CP
Android phones and tablets
Apple iPhones and iPads
Kindle Fire devices
Android phones and tablets in China
iOS
Windows phone devices
Amazon
SNS

39. Found a match: Notify user!
AWS SDK call
findMatch()
DynamoDB Streams
GeoHash table
Interest table
Amazon SNS

40. But what if I adjust my profile?
Interest Radius

41. Cognito Sync Trigger – AWS Lambda Code
exports.handler = function(event, context) {
if (event.eventType === 'SyncTrigger') {
event.datasetRecords.forEach(function(item) {
if (item.interestRadius.op == 'replace') {
// New interest radius set - process findMatch()
var params = {
FunctionName: 'findMatch',
InvocationType: 'Event', //makes it async
Payload: '{"user":'+ item.identityId +'}’};
lambda.invoke(params, function(err, data) {[..]});
}
}
}
context.succeed(event);
};

42. Let’s think in Layers
Create profile, upload
content and track usage
Track location and user
interests
Match and alert users
App-­centric
“You”
Activity-­centric
“What you do”
User base-­centric
“Them & me”
1
2
3

43. Mobile AppMobile
SDK
Amazon
API
Gateway
AWS
Lambda
Amazon
S3
Amazon
DynamoDB
Amazon
Cognito
Amazon Mobile
Analytics
Amazon
SNS
Final architecture

44. Recap and next steps

45. Back-­end wish list: ACHIEVED
What it does
User administration
Content storage
Push notifications
Analyze user behavior
Custom app logic
How it behaves
Cost follows usage
Minimal undifferentiated heavy lifting
Iterative development
Reduced time to market
Instant scale
Reliable

46. More to explore
• Test your app on AWS Device Farm
• Export Amazon Mobile Analytics data to Amazon
Redshift
• Customize your notifications with SNS +
Lambda
• Watermark your pictures using S3 + Lambda
Amazon
Device Farm
Amazon
Redshift

47. Next steps
1. Download the AWS Mobile SDK and create your first
AWS-­backed iOS or Android app.
2. Go to console.aws.amazon.com/lambda and create
your first Lambda function. (The first 1M requests are
on us.)
3. Stay up-­to-­date with AWS Mobile and Lambda on the
Mobile blog and the Compute blog.

48. © 2015, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Pierre Gilot, Solutions Architect
Novembre 2015
Thank You!
Visit the AWS Compute blog, or the
Lambda forum to learn more and get
started.