Présentation le solution d'Egdge computing d'Amaazon AWS IoT Greengrass par Pierre THIEBAUGEORGES

1. AWS IoT Greengrass
Edge computing solution by Amazon
Aws IoT Greengrass -- 27/06/2019 -- Pierre THIEBAUGEORGES
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2. Summary
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1 : What is Edge computing ?
2 : Aws IoT Greengrass
3 : AWS IoT Core
4 : Greengrass sample

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What is edge computing ?
Greengrass
AWS

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Why edge computing ?
-Less latency
-Offline processing
-Data privacy and legacy
-Optimised security

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Edge computing use cases :
Autonomous cars Finance
Connected home
Predictive maintenance IoT and medical domain
Harsh environnements

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AWS IoT Greengrass
The edge computing by Amazon

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AWS IoT Greengrass
AWS Greengrass extends AWS onto your devices, so they can act locally on the data they generate, while still taking advantage of
the cloud.
Respond to local events quickly
Operate offline
Simplified device programming
Reduce the cost of IoT applications

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Greengrass group
Device 3
Device 2
Device 1

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MQTT
Message Queuing Telemetry Transport
Topic

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Devices
Dedicated X.509 certificate for each device

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Device shadow
JSON representation of a thing

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Greengrass core
- Allows local lambda to run
- Provides an MQTT broker
- Allows to communicate with the cloud
- Can manage connections to other softwares
- Contains the device shadows
- Can act physically on device

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Local lambda
Available SDK :
Can be long lived
Dockerised runtimes

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AWS IoT Core
Endpoint HTTPS and it’s SDK kits
Broker MQTT (managed service by AWS)
Device authentication using dedicated X.509 certificates

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… and all the others AWS services
IAM

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IoT Core deployments

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MQTT client testing

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Greengrass use case

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The end
Any questions ?