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3 Easy Steps
to Build Large Scale IoT Architectures
Jan Metzner
Specialist Solutions Architect IoT in EMEA
Learning Objectives for this session
• How to Automate and Scale Security
• How to Manage Namespaces and Relations
• Do something with the Generated Data
AWS IoT
Fully managed cloud platform that lets connected devices easily and securely
interact with cloud applications and other devices
Devices Network Security Data Collection Smarts
1
Connect Billions of
Devices
Lightweight Communication
Protocol
X509 Certificates DynamoDB, Kinesis,
and S3
Trigger Lambda
Functions
AWS IoT
One service, three protocols
MQTT + Mutual
Auth TLS
Websocket + AWS
Auth
HTTPS + AWS
Auth
Server auth TLS + cert TLS + cert TLS + cert
Client auth TLS + cert AWS credentials
(API keys)
AWS credentials
(API keys)
Confidentiality TLS TLS TLS
Protocol MQTT HTTP/WS HTTP
Communication
model
Pub/sub Pub/sub REST
Identification AWS ARNs AWS ARNs AWS ARNs
Authorization AWS policy AWS policy AWS policy
Question:
What kind of Iot platform do you want to build?
Device / User Security
Integrate and Authenticate “Things”
Certificate/private keyThings
Federation with Amazon CognitoUsers
Authorize “Things” – IoT Policies per Thing
Certificate/private key
Federation with Amazon Cognito
Things
Users
How to Scale the Security?
• Basic Policy Variables
iot:ClientId
• X.509 Certificate Policy Variables
iot:Certificate.Subject.CommonName
• Thing Policy Variables (from the Registry)
iot:Connection.Thing.Attributes[attributeName]
– Policy Variables
Authorization – IoT policies
Fine-grained access for each device with a single policy
{
"Version": "2012-10-17",
"Statement": [
{
"Action": "iot:Connect",
"Resource": "arn:aws:iot:eu-west-1:1234567890:client/${iot:Certificate.Subject.CommonName.1}",
"Effect": "Allow”
}, {
"Action": "iot:Publish",
"Resource": [
"arn:aws:iot:eu-west-1:1234567890:topic/sensordata/${iot:Certificate.Subject.CommonName.1}",
"arn:aws:iot:eu-west-1:1234567890:topic/sensordata/${iot:Certificate.Subject.CommonName.1}/*”
],
"Effect": "Allow”
} ]
}
Authorization – IoT policies
Fine-grained access with registry variables
{
"Version": "2012-10-17",
"Statement": [
{
"Action": "iot:Connect",
"Resource": ”*",
"Effect": "Allow”,
"Condition":{ "Bool":{ "iot:Connection.Thing.IsAttached ":["true"] } }
}, {
"Action": "iot:Publish",
"Resource": [
"arn:aws:iot:eu-west-1:1234567890:topic/
${iot:Connection.Thing.ThingTypeName}/${iot:Connection.Thing.ThingName}"
],
"Effect": "Allow”
} ]
}
Automate Certificate on Boarding
Manufacturing line
Provisioning of the Identities
signed with customer’s CA
First data connection
JIT registration
Manage Namespaces and Relations
Use of the IoT Registry build into AWS IoT
• Free of Charge
• Great for Fine Grained Permissions
• Can hold relations but
• Not meant for massive discovery/search
• Not to hold tons of additional Metadata
Architecture for Admin/Search/Discovery
End User API
Admin User API Lambda Function
Lambda Function
AWS IoT
Store for
Queries/Search/Discovery
modify IoT Policies
Registry
Store
Relations/Metadata
Simple Store: Amazon DynamoDB
End User API
Admin User API Lambda Function
Lambda Function
AWS IoT
Amazon DynamoDB
Store/Query
Relations/Metadata
modify IoT Policies
Registry
Complex Search: Amazon Elasticsearch Service
End User API
Admin User API Lambda Function
Lambda Function
AWS IoT
Amazon Elasticsearch
Service
Store/Query
Relations/Metadata
modify IoT Policies
Registry
Complex Hierarchies with Multiple Dimension
Amazon Cloud Directory
End User API
Admin User API Lambda Function
Lambda Function
AWS IoT
Amazon Cloud Directory
Store/Query
Relations/Metadata
modify IoT Policies
Registry
Do Something with the Data
Question:
What kind of IoT Data storage backend would you need?
IoT Data Architecture
AWS IoT Amazon Elasticsearch Service
Data/Search/Analytics
Amazon DynamoDB
(raw) Sensor Data
AWS Lambda
Function
Amazon
Kinesis Analytics
Amazon DynamoDB
Aggregates
Amazon
Kinesis Firehose
Amazon S3
Raw Data in flat Files
Amazon EMR Amazon S3
Processed Data per
User/Device
Amazon Athena Amazon QuickSight
End User API
Now Think What Queries on
Things, Relations and Data you need.
And Build Your IoT Platform
Thank you!

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3 Easy Steps to Building Large-Scale IoT Architectures

  • 1. 3 Easy Steps to Build Large Scale IoT Architectures Jan Metzner Specialist Solutions Architect IoT in EMEA
  • 2. Learning Objectives for this session • How to Automate and Scale Security • How to Manage Namespaces and Relations • Do something with the Generated Data
  • 3. AWS IoT Fully managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices Devices Network Security Data Collection Smarts 1 Connect Billions of Devices Lightweight Communication Protocol X509 Certificates DynamoDB, Kinesis, and S3 Trigger Lambda Functions
  • 5. One service, three protocols MQTT + Mutual Auth TLS Websocket + AWS Auth HTTPS + AWS Auth Server auth TLS + cert TLS + cert TLS + cert Client auth TLS + cert AWS credentials (API keys) AWS credentials (API keys) Confidentiality TLS TLS TLS Protocol MQTT HTTP/WS HTTP Communication model Pub/sub Pub/sub REST Identification AWS ARNs AWS ARNs AWS ARNs Authorization AWS policy AWS policy AWS policy
  • 6. Question: What kind of Iot platform do you want to build?
  • 7. Device / User Security
  • 8. Integrate and Authenticate “Things” Certificate/private keyThings Federation with Amazon CognitoUsers
  • 9. Authorize “Things” – IoT Policies per Thing Certificate/private key Federation with Amazon Cognito Things Users
  • 10. How to Scale the Security? • Basic Policy Variables iot:ClientId • X.509 Certificate Policy Variables iot:Certificate.Subject.CommonName • Thing Policy Variables (from the Registry) iot:Connection.Thing.Attributes[attributeName] – Policy Variables
  • 11. Authorization – IoT policies Fine-grained access for each device with a single policy { "Version": "2012-10-17", "Statement": [ { "Action": "iot:Connect", "Resource": "arn:aws:iot:eu-west-1:1234567890:client/${iot:Certificate.Subject.CommonName.1}", "Effect": "Allow” }, { "Action": "iot:Publish", "Resource": [ "arn:aws:iot:eu-west-1:1234567890:topic/sensordata/${iot:Certificate.Subject.CommonName.1}", "arn:aws:iot:eu-west-1:1234567890:topic/sensordata/${iot:Certificate.Subject.CommonName.1}/*” ], "Effect": "Allow” } ] }
  • 12. Authorization – IoT policies Fine-grained access with registry variables { "Version": "2012-10-17", "Statement": [ { "Action": "iot:Connect", "Resource": ”*", "Effect": "Allow”, "Condition":{ "Bool":{ "iot:Connection.Thing.IsAttached ":["true"] } } }, { "Action": "iot:Publish", "Resource": [ "arn:aws:iot:eu-west-1:1234567890:topic/ ${iot:Connection.Thing.ThingTypeName}/${iot:Connection.Thing.ThingName}" ], "Effect": "Allow” } ] }
  • 13. Automate Certificate on Boarding Manufacturing line Provisioning of the Identities signed with customer’s CA First data connection JIT registration
  • 15. Use of the IoT Registry build into AWS IoT • Free of Charge • Great for Fine Grained Permissions • Can hold relations but • Not meant for massive discovery/search • Not to hold tons of additional Metadata
  • 16. Architecture for Admin/Search/Discovery End User API Admin User API Lambda Function Lambda Function AWS IoT Store for Queries/Search/Discovery modify IoT Policies Registry Store Relations/Metadata
  • 17. Simple Store: Amazon DynamoDB End User API Admin User API Lambda Function Lambda Function AWS IoT Amazon DynamoDB Store/Query Relations/Metadata modify IoT Policies Registry
  • 18. Complex Search: Amazon Elasticsearch Service End User API Admin User API Lambda Function Lambda Function AWS IoT Amazon Elasticsearch Service Store/Query Relations/Metadata modify IoT Policies Registry
  • 19. Complex Hierarchies with Multiple Dimension Amazon Cloud Directory End User API Admin User API Lambda Function Lambda Function AWS IoT Amazon Cloud Directory Store/Query Relations/Metadata modify IoT Policies Registry
  • 20. Do Something with the Data
  • 21. Question: What kind of IoT Data storage backend would you need?
  • 22. IoT Data Architecture AWS IoT Amazon Elasticsearch Service Data/Search/Analytics Amazon DynamoDB (raw) Sensor Data AWS Lambda Function Amazon Kinesis Analytics Amazon DynamoDB Aggregates Amazon Kinesis Firehose Amazon S3 Raw Data in flat Files Amazon EMR Amazon S3 Processed Data per User/Device Amazon Athena Amazon QuickSight End User API
  • 23. Now Think What Queries on Things, Relations and Data you need. And Build Your IoT Platform