Introduction to AWS for Android Developers, Ian Massingham

1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Intro to AWS for Android Developers
Ian Massingham, Technical Evangelist
@IanMmmm

2. The best mobile apps run on AWS

3. DEVELOP TEST ENGAGE
Building quality mobile apps

4. When developing mobile apps today, you want to focus on ...
The great stuff that makes your app unique
Not…
The heavy lifting needed to manage back-end infrastructure
AWS Mobile Services eliminate the heavy lifting

5. DEVELOP
TEST ENGAGE

6. “Mobile” growing in all directions
Published mobile apps
continue to grow…
…As “mobile” platforms
expand to new domains
TV
Watch
Car
*Source: Vision Mobile
0
200
400
600
800
1000
1200
1400
1600
2011 2012 2013 2014
Published Apps in App Stores
('000s)*
iOS App Store Google Play

7. Apps are also getting more complex
…To cloud-connected appsFrom basic client apps…
Sign-in/Social
Push notifications
Usage analytics
Cloud storage
Crash analytics
Ads
Attribution
analytics Config management
Custom back ends

8. AWS Mobile SDKs
AWS Mobile Hub
Authenticate users
Analyze user behavior
Store and share media
Synchronize data
Deliver media
Amazon Cognito
(Sync)
Amazon Cognito
(Identity)
Amazon S3
Amazon CloudFront
Store data
Amazon DynamoDB
Amazon RDS
Track retention
Amazon Mobile
Analytics
Send push notifications
Amazon SNS
Mobile Push
Server-side logic
AWS Lambda
AWS Device Farm
Test your app
Build and scale your apps on AWS
Amazon Mobile
Analytics

9. “AWS has what we need, but…it’s complex”
1. Which services should I use? 2. How do I connect them?
Identity provider SDKs
+
=
Example:
Login screen & integration code
+
SDK

10. There has to be a better way…

11. Introducing: The AWS Mobile Hub
1. Single integrated console
2. Pre-built features
3. Auto-provisioned services
4. Auto-generated app
Result: Build apps on AWS in minutes

12. AWS Mobile Hub: Fastest way to build apps on AWS

13. DEVELOP
TEST
ENGAGE

14. Instrumentation
UI Automation
UI Automator
Your app
Improve the quality of your apps by testing against real devices in the AWS cloud
Automated testing on AWS Device Farm
(native, hybrid, web)
XCTest
XCTest UI

15. Select a device View historical sessionsInteract with the device
AWS Device Farm

17. DEVELOP TEST
ENGAGE

18. “If you can’t measure it, you can’t improve it”
-Lord Kelvin

19. Scalable and generous
free tier
Focus on metrics that
matter. Usage reports
available within 60
minutes of receiving
data from an app.
Fast
Scale to billions of
events per day from
millions of users.
Own your data
Simply and cost-effectively collect and analyze your application usage data
Data collected are not
shared, aggregated,
or reused.
Amazon Mobile Analytics

20. Daily/monthly active users
Sessions
Sticky factor
In-app revenue
Lifetime value (LTV)
Retention
…. and more
(9 predefined metrics with one line of code)

21. Fast, flexible, global messaging to any device or endpoint
Global and fast at
high scale
Send messages to any
device or endpoint
Support for multiple
platforms or frameworks
Amazon Simple Notification Service

22. Worldwide Delivery of
Amazon SNS Messages via SMS

23. Retrospective
Analyze historical
trends to know
what's happening in
the app
Predictive
Anticipate user
behavior to enhance
experience
Inquisitive
Discover latent user
behavior to shape
product or marketing
decisions
Three Types of Data-Driven Decision Making

24. How many users use the app and how often?
What are key user behaviors in the app?
Your
Mobile
App
How to predict user behavior and use those
predictions to enhance their experience ?
In the Context of a Mobile App

25. Retrospective
Analyze historical
trends to know
what's happening in
the app
Predictive
Anticipate user
behavior to enhance
experience
Inquisitive
Discover latent user
behavior to shape
product or marketing
decisions
Three Types of Data Driven Decision Making

26. Going beyond standard metrics will give
you more insight in to user behavior

27. How does usage pattern vary for users with different demographic profiles ?
Who are the most engaged users and what are their usage patterns ?
How does user population distribute across countries and platform ?
How much time does it takes for a user to convert to a paying user ?
Music App
Few Questions That Will Help You Understand
Your Users Better

28. Auto Export to Amazon Redshift

29. Simple &
intuitive
Integrate with
existing data
models
Automatically
collect common
attributes
Schema for Your App’s Event Data

30. Now Easy to Query and Visualize
Your
Mobile
App

31. Retrospective
Analyze historical
trends to know
what's happening in
the app
Predictive
Anticipate user
behavior to enhance
experience
Inquisitive
Discover latent user
behavior to shape
product or marketing
decisions
Three Types of Data Driven Decision Making

32. Predicting user behavior helps in
delivering personalized
experiences for users

33. Amazon Mobile Analytics Amazon Machine Learning
Leverage Mobile App Data to Build Predictive
Applications Using Amazon ML

34. Predict users with low probability to purchase in the app and send discount coupon
via in-app notification
Predict users with high probability to churn from the app and send push them
notification to re-engage
Identify users with high probability to share the app and reach out to them to do
the same
Recommend relevant content to users based on similar user’s behavioral
patterns
A Few Examples of Leveraging Mobile App
Data with Machine Learning

35. Amazon Mobile
Analytics
Amazon
Redshift
App events
InsightsStrategies
Predictions
Mobile app
developer Amazon Machine
Learning
+
Now Build Predictive Applications Using Your
Mobile App Data Easily
Your
Mobile
App
QuickSight
+

36. Learn more at:
aws.amazon.com/mobile

37. Thank you!
@IanMmmm