What happens when the cloud is distributed? The ability to innovate through highly distributed networks of edge locations creates unprecedented opportunity to bring applications closer to the end user. This trend will disrupt industries by providing greater user experience for hyper low latency use cases, such as the 5G build out telcos are facing. Come and hear what the networks and services of the future will look like with AWS Outposts and AWS IoT Greengrass on AWS Cloud and the possibilities it unlocks.

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SYDNEY

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Bringing Cloud to the Edge
Rada Stanic
Principal Solutions Architect
Amazon Web Services, APAC Solutions Architecture

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Agenda
• Why is Edge important now?
• Technology options
• Use cases
• Summary

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Why is Edge important now?
1G 2G 3G 4G 5G

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Key pillars of 5G Speed,
User
Experience
IoT
@ Scale Reliability
Low
Latency
Augmented
Reality
Accessing the
Cloud Anywhere
Mission
Critical
Apps
Smart Home
Enhanced Video
Connected
Car
Smart Cities
and Industries

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Why Latency matters?
Real-time
gaming
Augmented
reality
Tactile
internet
Virtual
Reality
Multi-person
video call
Bi-directional
remote
controlling
First responder
connectivity
Wireless cloud
based office
Video
streaming
Monitoring
sensor networks
Automotive
ecall
Disaster
alert
Device
remote
controlling
Personal
cloud
Autonomous
driving

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What do we expect the use cases to be?
Real-time Inference
Autonomous vehicles,
Processing outdoor
sensor data
Content Production,
Distribution & Gaming
Live Event and Game
streaming
Industrial Automation
Manufacturing, Sensor
control, Robotics
Financial Services
High Frequency Trading,
Core Banking
Legacy Applications
Transaction Processing,
ERP Applications
Low Latency Telco
Operations
Virtual Network Functions

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Expanding Cloud to the Edge
AWS Outposts
Cloud-based compute, storage
and database at your on-
premises datacentre
AWS IoT Greengrass and
AWS Snowball Edge
High volume data ingestion
processing at the edge for
disconnected scenarios
Single pane of glass with AWS Management Tools
Amazon Web Services
Cloud-based compute,
storage and database

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AWS
Region
(Sydney)
VIC
AWS Outposts
NSW
AWS Outposts
WA
AWS Outposts
AWS Outposts - extension of an AWS Region

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AWS Outposts - cloud native Edge
AWS
Region
(Sydney)
Melbourne
AWS Outposts

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How do I bring AWS Outposts to my Edge?
Build
Build and run apps
using native AWS
services on
Outpost and
services available
in the local region
Launch
Use AWS Console
to launch Amazon
EC2 instances on
Outposts
Connect
Connect Outposts
to your local power
and network
Configure
Configure and order
Outposts from
AWS Console
AWS Outpost
Run AWS infrastructure
on-premises

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IoT and AWS IoT Greengrass
AWS IoT
Device SDK
Amazon FreeRTOS
AWS IoT
Device Tester
AWS IoT
Greengrass
AWS IoT Events
AWS IoT Analytics
AWS IoT SiteWise
AWS IoT Device
Management
AWS IoT
Things Graph
AWS IoT Core
AWS IoT
Device Defender

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Machine learning at the Edge

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“AIoT” (AI and IoT) – Machine learning at the Edge
Train in the cloud, infer at the edge
Amazon SageMaker
AWS IoT
Greengrass
Amazon
FreeRTOS
AWS IoT Core
AWS IoT Analytics

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Telco 5G
Low Latency Telco
Operations
Virtual Network
Functions

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Mining – “Private LTE”
IoT AppsIoT app
Mobile
Packet Core
Components
Signalling Data
Sensor Data in IoT app
Security
Gateway IoT
AppConnect
AWS IoT
Core
Edge Node

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Retail –
Smart
Vending
Machine

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Smart vending machine
Camera
Load Sensors
Object Detection and
Image Classification
models
Sensor fusion functions
to detect removed items
and strange objects
Thanks for shopping!
3x Water Bottles
USD 1.50 each
Your total is $4.50
Load Sensors readings
in local time series
database

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Simple Drone Service
Drone application for
video capture and
analysis:
• Frames of the crowd – 200 per
flight
• Telemetry data about the
flight – 100 drones/10 trips a
day
• Number of people
https://aws.amazon.com/blogs/startups/sim
ple-drone-service-from-idea-to-reinvent/
IMAGE
PROCESSING
REAL TIME
DASHBOARD
MONITORING
BATTERY
CONSUMPTION
BLACKBOX
OpenCV
based face
detection
using
Lambda
Image Upload to S3
Streaming Telemetry
data to Kinesis
Drone Control
AWS Services Conduit
Lambda
function
that puts
telemetry &
navdata in
DynamoDB
Lambda
function that
publishes the
real time
battery
consumption
to CloudWatch
Lambda
function
that puts
telemetry &
navdata in
S3
Notification is sent when
alarm is triggeredAPI Gateway triggers a Lambda
function that reads a
DynamoDB table for Telemetry
& People Count
JavaScript
Dashboard
reads
Navigation Log
from Kinesis
Real-Time Dashboard
Drone
Amazon API
Gateway
AWS
Lambda
Amazon
DynamoDB
AWS
Lambda
Amazon
S3
AWS
Lambda
Amazon
S3
AWS
Lambda
Amazon
CloudWatch
Alarm
Amazon
Kinesis
AWS
Lambda
Amazon
S3

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AWS Lambda
AWS Lambda
Connected Car
• Local computing within for
anomaly detection
• Distracted driver behavior
• Collision detection and avoidance
• Remote vehicle diagnostics and
health monitoring
• Predictive analytics and
maintenance alerts
• Media streaming services
• Vehicle safety and security
services
https://aws.amazon.com/answers/iot/co
nnected-vehicle-solution/
Raw data
Connected
vehicles with
AWS Greengrass
Core
Anomaly detection
Trip data
Driver safety score
Just-in-
time
registratio
n
Diagnostic trouble codes
Location-based marketing
Notification service
Amazon
DynamoDB
AWS Lambda
AWS Lambda
Amazon
DynamoDB
AWS Lambda
Amazon
DynamoDB
AWS Lambda
Amazon
DynamoDB
AWS Lambda
Amazon
Kinesis Data
Analytics
Amazon
Kinesis Data
Streams
Amazon
Kinesis Data
Firehose
Amazon S3
AWS IoT Core
Amazon SNS

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Dream Big
• The arrival of 5G will reshape future of technology
• “Expanding to Cloud” is the new normal. Bringing Cloud closer to the user is the new
challenge and opportunity
Start Small
• Start the innovation with AWS IoT Greengrass and plan for AWS Outposts
• Consider your end architectural choices now and build incrementally
Build Fast
• Take advantage of the “killer platform” to develop and build “killer applications
of the future”

26. Thank you!
S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Rada Stanic
rstanic@amazon.com