by Gavin Adams, IoT Specialist Solutions Architect AWS and Anton Shmagin, Partner Solutions Architect AWS Join us for AWS IoT day at the AWS San Francisco Loft. AWS IoT enables you to easily connect and manage millions of devices securely. You can gather data from, run sophisticated analytics on, and take actions in real-time on your diverse fleet of IoT devices from edge to the cloud. You will build IoT applications with AWS IoT experts. AWS IoT provides edge-based software and cloud-based services so you can easily build IoT applications. Edge-based software, including AWS Greengrass, enables you to securely connect devices, gather data and take intelligent actions locally even when Internet connectivity is down. Cloud-based services, including AWS IoT Core, allow you to quickly onboard large and diverse fleets, maintain fleet health, and keep fleets secure.

1. Pop-up Loft
AWS Greengrass Workshop
Gavin Adams,
IoT Specialist Solutions Architect
Anton Shmagin
Partner Solutions Architect

2. Agenda
• Introduction to AWS Greengrass
• Discuss architecture for the workshop
• Workshop

3. AWS IoT Architecture
Endpoints
Fleet onboarding,
management,
and SW updates
Fleet
audit and
protection
IoT data
analytics and
intelligence
Gateway
Things
Sense & Act
Cloud
Storage & Compute
Secure local
triggers, actions,
and data sync
Intelligence
Insights & Logic → Action
Secure device
connectivity
and messaging

4. Most machine data never reaches the cloud
Medical equipment Industrial machinery Extreme environments

5. Why this problem isn’t going away
Law of physics Law of economics Law of the land

6. AWS Greengrass
Cloud
AWS Greengrass extends AWS processing capabilities onto your devices,
so you can process more of your data locally while taking advantage of the
cloud

7. Extend AWS IoT to the Edge
AWS Greengrass
Data and
State Sync
Security Over the
Air Updates
Protocol
Adapters
Local
device shadows
Local
Actions
Lambda
functions
Local
Messages and
Triggers
Local
message broker
AWS-grade
security
Easily update AWS
Greengrass core
Machine
Learning
Inference
Local execution
of ML models
Local
Resource
Access
Lambda functions
Interact with
peripherals
Easy integrations
with local
protocols
ʥ
A

8. Greengrass Core (GGC) - Requirements
• Min single core 1 GHz
• Min 128-MB RAM
• x86 and ARM
• Linux (Ubuntu or Amazon)

9. Greengrass
Core
GGAD-1 GGAD-2
• Launch EC2 Instance with CloudFormation
• Enable logging for AWS IoT
• Connect a thing to AWS IoT
• Send sensor data to AWS IoT
• Provision a Greengrass Group
• Install Greengrass on your device
• Add devices to the Greengrass Group
• Enable Logging for Greengrass
• Deploy the Greengrass Group to the
device
• Connect devices to the Greengrass Core
AWS IoT
Workshop Architecture and steps

10. http://loft-gg.aws.lc

11. Pop-up Loft
aws.amazon.com/activate
Everything and Anything Startups
Need to Get Started on AWS