Getting Started with Azure IoT Edge Machine Intelligence Modern - - PowerPoint PPT Presentation

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Aug 10, 2023 524 likes •722 views

Getting Started with Azure IoT Edge Machine Intelligence Modern Infrastructure http://mi2.live What is MI2? MI2 Webinars focus on the convergence of machine intelligence and modern infrastructure . Every alternate week, I deliver informative

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Machine Intelligence Modern Infrastructure

http://mi2.live

Getting Started with Azure IoT Edge

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What is MI2?

MI2 Webinars focus on the convergence of machine intelligence and modern infrastructure. Every alternate week, I deliver informative and insightful sessions covering cutting-edge technologies. Each webinar is complemented by a tutorial, code snippets, and a video. MI2 strives to be an independent and neutral platform for exploring emerging technologies.

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Objectives

The current state of the cloud
The evolution of Edge
Azure IoT Edge
Use cases & scenarios
Demo
Summary

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The Current State of Cloud

Highly centralized set of resources
Resembles 90s Client/Server computing
Compute is going beyond VMs
Containers are becoming mainstream
Storage is complemented by CDN
Static content is replicated and cached
Network stack is programmable
SDN is enabling hybrid scenarios

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Cloud

Globally available, unlimited compute resources

IoT

Harnessing signals from sensors and devices, managed centrally by the cloud

Edge

Intelligence offloaded from the cloud to IoT devices

Breakthrough intelligence capabilities

Waves of Innovation

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What is Edge Computing?

Edge computing makes the cloud truly distributed
Moves core cloud services closer to the origin of data
Mimics public cloud platform capabilities
Delivers local storage, compute, and network services
Reduces the latency by avoiding the roundtrip to the cloud

SLIDE 7 Devices Edge Device Registry Data Ingestion Public Cloud Message Routing Policies Storage & Database Stream Analytics Batch Processing Machine Learning Business Intelligence On-Premises

The Big Picture of IoT Platforms

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Why Edge Computing?

IoT in the Cloud

Remote monitoring and control Merging remote data from across multiple IoT devices Near infinite compute and storage to train machine learning and other advanced AI tools

IoT on the Edge

Low latency tight control loops require near real- time response Public internet inherently unpredictable Privacy of data and protection of IP

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What Will Run at The Edge?

Data Ingestion
M2M Brokers
Object Storage
Functions as a Service
NoSQL/Time-Series Database
Stream Processing
ML Models

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Edge Brings Intelligence to Devices

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Edge Computing Architecture

Edge Computing Architecture Data Sources Intelligence Actionable Insight

Sensors, Databases, Event Sources, Machine Logs, Clickstream, Social Media Machine Learning Algorithms (Cloud) Machine Learning Models (Edge) Visualizations, Dashboards Human-Machine Interaction (HMI)

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Azure IoT - High level topology

Azure IoT Hub Azure IoT Edge IoT Device Azure IoT Edge IoT Device Customer Solution

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Azure IoT Edge Architecture

Azure IoT Edge Runtime IoT Edge Agent IoT Edge Hub Module Module Module Module Module Module Devices Azure IoT Control Plane

(Public Cloud)

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What are we building?

Create an Azure IoT Hub
Create device identity for edge device (Raspberry Pi)
Install Edge Runtime & Edge Hub
Register edge device with Azure IoT Hub
Build a module to control an LED matrix
Deploy the module to the edge
Update the module

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DEMO

Configuring and Managing Edge Devices

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Summary

Low-latency access
Edge computing exposes compute, storage, and networking locally.
Reduced bandwidth consumption
Edge layer aggregates and filters data by only ingesting what’s

needed to the public cloud.

Offline availability
Applications that have intermittent access to the Internet and cloud

can rely on local resources exposed by the edge computing layer.

Local ML inference
Machine learning models that are trained in the public cloud are

deployed at the edge for faster inferencing.

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MI2 Sponsors

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Next Webinar

Ev Everyt ything yo you want to know about Ist Istio io

Istio is an open source independent service mesh that provides the fundamentals you need to successfully run a distributed microservice architecture. It reduces complexity of managing microservice deployments by providing a uniform way to secure, connect, and monitor microservices. Attend this session to learn about the core building blocks of Istio service mesh.

Thursday, April 25th, 2019 9:00 AM PST / 9:30 PM IST