Dari situs web yang sederhana hingga mobile applications, dari IoT sampai chatbots, AWS memiliki berbagai layanan yang dapat digunakan dengan mudah untuk mengimplementasikan ide Anda menjadi kenyataan. Mari bergabung dengan kami dalam diskusi ini untuk mendapatkan pemahaman yang lebih mendalam mengenai layanan AWS yang dapat membantu untuk memulai bisnis Anda. Dalam diskusi ini, kami akan menghadirkan customer journey yang umum, dimulai dari penggunaan computing resources dan auto-scaling, hingga modernisasi aplikasi Anda dengan layanan serverless, AI/ML dan big data analytics.

1. Your Cloud Journey with AWS

2. Quick Introduction
Donnie Prakoso, MSc
AWS Technology Evangelist, ASEAN
@donnieprakoso
donnieprakoso
• Speak in Go and Python
• Machine Learning and Serverless
• I AWS User Groups

3. Ask the AWS Experts
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4. Agenda
Popular Use Cases and AWS Services
Resources you can use to learn more
Your journey, objective, and development in the cloud

5. Your Journey, Objective, And
Development In The Cloud
1

6. What is your objective for this
journey?

7. Popular Use Cases
Real Time Data Streaming
& Big Data Analysis
Scalable Web & Mobile
Applications
Smart Applications with
Machine Learning

8. What does define this journey as
yours?

9. Your Journey Starts Here
Dev & Test
Spin environments up
and down on demand
Decouple development
and test environments
from operations
constraints
Explore elasticity in a
sandboxed environment
Greenfield Project
Embody best practice of
cloud computing in
unconstrained greenfield
projects
Self contained web
projects, document
archiving etc
Pain Point
Move specific service
aspects causing undue
cost or management
burden
Workflows, search
indexing, media
streaming, document
archiving, constrained
databases

10. Plan Evolution
Understand services
Test performance
Architect for scale
Develop team capabilities
Implement monitoring
Change control and management
Security management
Scalability
Automate corrective actions
Auto-scaling
Zero downtime deployments
System backup and recovery
Proof of Concept Production Automation
SampleActivities

11. Development in the cloud.
Why?

12. COMMON TRAITS

13. COMMON TRAITS
NUMEROUS
DISPOSABLE

14. COMMON TRAITS
NUMEROUS
DISPOSABLE
Many environments to support
Preservation of known configurations
Overlapping development cycles
Projects start and stop frequently
Required for short period of time
Golden masters preferred

15. DEVELOPMENT IN AWS CLOUD
NUMEROUS
DISPOSABLE
Many environments to support
Preservation of known configurations
Overlapping development cycles
Projects start and stop frequently
Required for short period of time
Golden masters preferred

16. DEVELOPMENT IN AWS CLOUD
Infrastructure as Code
Deploy to a known state, quickly

17. CLOUDFORMATION
TEMPLATE
AWS CloudFormation aws.amazon.com/cloudformation/

18. PROCEDURAL
DEFINITION
Create it programmatically
KNOWN
CONFIGURATION
Store stack configuration in source
control
PARAMETER DRIVEN
Dynamic and user-driven
templates
COLLABORATION
Share templates with ease as
they are just text files
CLOUDFORMATION
TEMPLATE
AWS CloudFormation aws.amazon.com/cloudformation/

19. DEVELOPMENT IN AWS CLOUD
Unlimited Elastic Capacity
Infrastructure as Code
Take lots of it when you need it
Deploy to a known state, quickly

21. AWS Auto Scaling aws.amazon.com/autoscaling/

22. 00:00 01:00 02:00 03:00 04:00 05:00 06:00 07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00
Dynamic Scaling: CPU Utilisation/Time
AWS Auto Scaling aws.amazon.com/autoscaling/
Traditional Approach

23. 00:00 01:00 02:00 03:00 04:00 05:00 06:00 07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00
Dynamic Scaling: CPU Utilisation/Time
Auto-scaling
by demand
Auto-scaling
by demand
AWS Auto Scaling aws.amazon.com/autoscaling/

24. DEVELOPMENT IN AWS CLOUD
On-demand Pricing ModelUnlimited Elastic Capacity
Infrastructure as Code
Take lots of it when you need it Throw it away when you don’t
Deploy to a known state, quickly

25. 00:00 01:00 02:00 03:00 04:00 05:00 06:00 07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00
Dynamic Scaling: CPU Utilisation/Time
Auto-scaling
by demand
Auto-scaling
by demand

26. 00:00 01:00 02:00 03:00 04:00 05:00 06:00 07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00
On-demand Pricing Model
46% Savings

27. DEVELOPMENT IN AWS CLOUD
On-demand Charging ModelUnlimited Elastic Capacity
Infrastructure as Code Durable Storage
Take lots of it when you need it Throw it away when you don’t
Preserve it for future reference & reuseDeploy to a known state, quickly

28. Durable Storage
AMIs
Create a catalog of AMIs for each
iteration of an application
Stored in Amazon S3
Templates
Source control infrastructure templates
with every application version
Snapshots
Save disk images with ‘frozen’ data sets
and attach to instances when needed
Stored in Amazon S3
Enables you to roll back and recreate an environment for any given application version

29. MOBILE APPS DEVELOPMENT ON
AWS

30. Enterprises & Startups
Running Mobile Apps on AWS

31. Problems developers face today
Fragmentation across platforms
Sync scalability is extremely hard
Expensive to manage and operate
Distracts them from building core UX
Managing unique user identities is difficult
to implement for every app
Undifferentiated Heavy Lifting
Developer’s Mobile App Code
User Identity Mgmt. and Auth
User Data Synchronization
Asynchronous Communication
Active Devices Analytics
User Behavior Analytics
Engagement Analytics
Push Notifications
Event Triggers
Platform agnostic Mobile Backend
Data Validation and Transformation
File and Media Storage
Shared Database Storage
Data Collection
And More….
AWS Cloud Infrastructure
What Mobile Developers have told us

32. Authenticate users
Authorize access
Analyze User Behavior
Store and share media
Synchronize data
Deliver media
Store shared data
Stream real-time dataRun Business Logic
Send push notifications
Manage users and
identity providers
Securely access
cloud resources
Sync user prefs , states
across devices
Track active users,
Engagement, retention
Run stateless custom
Code without managing servers
Store user-generated photos
Media and share them
Automatically detect mobile devices
Deliver content quickly globally
Bring users back to your app by sending
messages reliably
Store and query fast NoSQL data
across users and devices
Collect real-time clickstream logs
and take actions quickly
Your
Mobile
App
Core Functionality

33. Amazon Cognito Amazon Mobile Analytics Amazon SNS Mobile Push
Kinesis Recorder DynamoDB Mapper S3 Transfer Mgr SQS Client SES Client
AWS Global Infrastructure (Regions, Availability Zones, Edge Locations)
Core Building Block
Services
Mobile Optimized
Connectors
Mobile Optimized
Services
Your Mobile App, Game or Device App
AWS Mobile SDK, API Endpoints, Management Console
Compute Storage Networking Analytics Databases
Integrated SDK
Introducing AWS Mobile Services
AWS Lambda
Lambda
Functions
λ λ λ λ

34. Cross-platform Services, Optimized for Mobile
Amazon Cognito Amazon Mobile Analytics Amazon SNS Mobile Push
Kinesis Recorder DynamoDB Mapper S3 Transfer Mgr SQS Client SES Client
AWS Lambda
Lambda
Functions
λ λ λ λ
Not limited to Mobile.
Run stateless Lambda
Functions without any
backend servers to
manage or scale
User identity &
data synchronization
service
Fast cross-platform
Analytics & reporting
Service
Powerful Cross-platform
Push notification service
Recorder that can handle
intermittent network
connection
Send email
reliably from
device
Access
distributed
buffering and
queuing
service
Easily upload,
download to S3
and also pause,
resume, and cancel
these operations
Store any NoSQL
data and also map
mobile OS specific
objects to
DynamoDB tables

35. Your
Mobile
App
Core Functionality
Authenticate users
Authorize access
Analyze User Behavior
Store and share media
Synchronize data
Amazon Mobile
Analytics
Deliver media
Amazon Cognito
(Sync)
AWS Identity and
Access Management
Amazon Cognito
(Identity Broker)
Amazon S3
Transfer Manager
Amazon CloudFront
(Device Detection)
Store shared data
Amazon DynamoDB
(Object Mapper)
Stream real-time data
Amazon Kinesis
(Recorder)
Run Business Logic
AWS Lambda
Send push notifications
Amazon SNS
Mobile Push

36. AMAZON COGNITO

37. AUTHENTICATE USERS AND
SAVE APP SETTINGS

38. Amazon Cognito
Simplifies Identity and
Access Management
Securely access all
AWS services from
Mobile device
Cross-device and
Cross-platform Sync
Implement security
best practices
Your App data is secure, available offline, and kept in sync between devices
Synchronize user’s
data across devices
and platforms
Manage users as
unique identities across
identity providers
Guest Your own
Auth

39. Amazon Cognito Identity
Identity
Providers
Unique
Identities
Joe Anna Bob
Any Device
Any Platform
Any AWS
Service
Helps implement security best practices
Securely access any AWS Service from mobile
device. It simplifies the interaction with AWS
Identity and Access Management
Support Multiple Login Providers
Easily integrate with major login providers for
authentication.
Unique Users vs. Devices
Manage unique identities. Automatically recognize
unique user across devices and platforms.
Mobile Analytics S3 DynamoDB Kinesis

40. Store App Data, Preferences and State
Save app and device data to the cloud and merge them
after login
Cross-device Cross-OS Sync
Sync user data and preferences across devices with
one line of code
Work Offline
Data always stored in local SQLite DB first. Works
seamlessly when intermittent or no connectivity
No Backend
Simple client SDK eliminates need for server side
code
Cognito Cloud Save and Sync
User Data
Storage and
Sync
Any Platform
iOS/Android/FireOS
k/v data
Identity pool

41. BUILDING BIG DATA
APPLICATIONS ON AWS

42. It’s never been easier and less expensive to
collect, store, analyze & share data

43. We are constantly producing more data

44. From all types of industries

45. Sources of Truth Analysis PlatformsHigh Performance Databases
AWS Services For Big Data Workloads
Amazon S3
Amazon EFS
Amazon Redshift
Amazon DynamoDB
Amazon Aurora
Amazon EMR
Real time
Amazon Kinesis

46. Broad Analytics Usage In The AWS Cloud
Discovery Development Delivery
Risk Marketing Reporting Trade
Sales

47. COLLECT STREAM STORE
RDBMS
DATA
WAREHOUSE
NOSQL
ANALYTICS➤ ➤ ➤ ➤
GENERATE
➤
➤
ARCHIVE

48. REAL-TIME STREAMING
AND ANALYSIS

49. COLLECT STREAM STORE
RDBMS
DATA
WAREHOUSE
NOSQL
ANALYTICS➤ ➤ ➤ ➤
GENERATE
➤
➤
ARCHIVE
Amazon Kinesis

50. Amazon Kinesis
A fully managed, cloud-based service for real-time
data processing over large, distributed data streams
Continuously capture and store terabytes of data per
hour from hundreds of thousands of sources
Emit data to other AWS services such as Amazon
S3, Amazon Redshift, Amazon Elastic Map Reduce
(Amazon EMR)

51. BIG DATA CLOUD
STORAGE SOLUTIONS

52. COLLECT STREAM STORE
RDBMS
DATA
WAREHOUSE
NOSQL
ANALYTICS➤ ➤ ➤ ➤
GENERATE
➤
➤
ARCHIVE
Amazon S3
Amazon Glacier
Amazon EBS

53. Amazon S3
Secure, durable, highly-scalable object storage
Accessible via a simple web services interface
Store & retrieve any amount of data
Use alone or together with other AWS services

54. Amazon Glacier
Durable
Designed for 99.999999999%
durability of archives
Cost Effective
Write-once, read-never. Cost effective for long
term storage. Pay for accessing data

55. Amazon Elastic Block Store (EBS)
Persistent block level storage volumes
For use with Amazon EC2 instances
Automatically replicated within Availability Zones
Offer consistent and low-latency performance
EBS Snapshot
(stored on S3)
EBS Volume
EC2
Instance

56. COLLECT STREAM STORE
RDBMS
DATA
WAREHOUSE
NOSQL
ANALYTICS➤ ➤ ➤ ➤
GENERATE
➤
➤
ARCHIVE
Amazon RDS
Amazon Redshift
Amazon DynamoDB

57. Amazon Relational Database Service (RDS)
Easy to set up, operate, and scale a relational database
Provides cost-efficient and resizable capacity
Manages time-consuming database management tasks

58. Amazon Redshift
A fast, fully managed, petabyte-scale data warehouse
Cost-effectively & efficiently analyze all your data
Use existing Business Intelligence tools
Fast query performance using columnar storage technology

59. Amazon DynamoDB
A fast and flexible NoSQL database service
Consistent, single-digit millisecond latency at any scale
A fully managed cloud database
Supports both document and key-value store models
Flexible data model and reliable performance

60. ANALYTICS WITH
HADOOP & AMAZON EMR

61. COLLECT STREAM STORE
RDBMS
DATA
WAREHOUSE
NOSQL
ANALYTICS➤ ➤ ➤ ➤
GENERATE
➤
➤
ARCHIVE
Amazon EMR

62. Amazon Elastic MapReduce (EMR)
A managed Hadoop framework
Quickly & cost-effectively process vast amounts of data
Dynamically scale across fleets of Amazon EC2 instances
Run other popular distributed frameworks such as Spark

63. Lots of actions by
John Smith
Split the log
into many
small pieces
Process in an EMR
cluster
Aggregate the
results from all
the nodes
Very large
clickstream
logging data
(e.g TBs)
What John
Smith did

64. Insight in a fraction of the time
Very large
clickstream
logging data
(e.g TBs)
What John
Smith did

65. SMARTER APPLICATIONS
WITH
MACHINE LEARNING

66. The AI/ML Journey
1. Automation
– Optimize existing processes
– Maintain (or improve) quality & reduce cost
2. Enrichment
– Add new features to products and services
– Increase engagement & attract new customers
3. Invention
– Create new products and categories
– Leverage industry experience + AI expertise

67. ML Services
ML Platforms
ML Engines
Amazon
Rekognition
Amazon
Polly
Amazon
Lex
Apache
MXNet
TensorFlow Caffe Theano KerasTorch CNTK
Amazon
Rekognition
Video
Amazon
Comprehend
Amazon
Translate
Amazon
Transcribe
AWS
DeepLens
Amazon
Machine Learning
Amazon Elastic
MapReduce
Spark &
SparkML
Amazon
SageMaker
ML Devices

68. Amazon Rekognition
Object, Scene &
Activity Recognition
Facial
Recognition
Facial Analysis Person Tracking
Unsafe Content
Detection
Celebrity
Recognition
Text in Images
D e e p l e a r n i n g - b a s e d i m a g e a n d v i d e o a n a l y s i s

69. Amazon Transcribe
A u t o m a t i c c o n v e r s i o n o f s p e e c h i n t o a c c u r a t e , g r a m m a t i c a l l y c o r r e c t t e x t
Support for
telephony audio
Timestamp
generation
Intelligent punctuation
and formatting
Recognize multiple
speakers
Custom
vocabulary
Multiple
languages

70. Amazon Translate
N a t u r a l a n d f l u e n t l a n g u a g e t r a n s l a t i o n
Real-time
translation
Batch analysis Automatic language
recognition
Low cost

71. Amazon Polly
T u r n t e x t i n t o l i f e l i k e s p e e c h u s i n g d e e p l e a r n i n g
Wide Selection of Voices
and Languages
Synchronize
Speech
Fine-grained
Control
Unlimited Replay

72. • High-quality language education using Amazon Polly Text-
to-Speech (TTS)
• With more than 170M users, Duolingo is the most popular
language-learning platform
• Each lesson targets different linguistic skills and concepts
• Amazon Polly was the winner against their previous TTS
providers in all six voice A/B tests they use to evaluate
impact to their business

73. Amazon Comprehend
D i s c o v e r i n s i g h t s a n d r e l a t i o n s h i p s i n t e x t
Entities
Key Phrases
Language
Sentiment
Amazon
Comprehend

74. Amazon Comprehend
STORM
WORLD SERIES
STOCK MARKET
WASHINGTON
LIBRARY OF
NEWS ARTICLES
Amazon
Comprehend
D i s c o v e r i n s i g h t s a n d r e l a t i o n s h i p s i n t e x t

75. Amazon Lex
Integrated
development in the
AWS console
Trigger
Lambda
functions
Multi-step
conversations
One-click deployment Enterprise
connectors
Fully
managed

76. ML is still too complicated for everyday
developers
Collect and prepare
training data
Choose and
optimize your ML
algorithm
Set up and manage
environments for
training
Train and tune model
(trial and error)
Deploy model
in production
Scale and manage
the production
environment

77. Amazon SageMaker
Fully managed
hosting with auto-
scaling
One-click
deployment
Pre-built
notebooks for
common
problems
Built-in, high
performance
algorithms
One-click
training
Hyperparameter
optimization
BUILD TRAIN DEPLOY

78. AWS Cloud
Infrastructure & Services
Your
Business
More Time to Focus on
Your Business
Configuring
Cloud Services
70%
30%70%
Self Managed Software
& Infrastructure
30%
Managing All of the
“Undifferentiated Heavy Lifting”
Summary

79. Resources You Can Use to
Learn More
3

80. https://aws.amazon.com/getting-started/

81. https://aws.amazon.com/web-mobile-social/

82. https://aws.amazon.com/big-data/

83. https://aws.amazon.com/machine-learning/

84. 10 Minutes Open Q&A

85. Follow Us on Social Media
@AmazonWebServices
@AWSCloud @AWSCloudSEAsia

86. Feedback
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