Azure Io T Engineering Team Azure Io T

Azure Io. T Engineering Team

Azure Io. T Edge, why, how and for whom ? Agenda Operator experience Concepts Developer experience

Cloud Io. T Edge AI

Io. T in the Cloud and on the Edge Io. T in the Cloud Io. T on the Edge Symmetry

Io. T Pattern Azure Io. T Hub Things Cloud Gateway Insights Actions

Io. T Pattern + Edge Azure Io. T Hub Things Cloud Gateway Insights Actions

Developer Operator Cloud development skills Manage large fleets Familiar tools like Visual Studio Stage and deploy at scale Develop and test Stage and test Continuously iterate Operational workflows with alerts

Fluid load Surface Downhole Pump position

SMS/email alert Well site Supervision site

Replaying pump readings Well site Azure Io. T Edge

Secure Cloud managed Azure Io. T Edge Design Principles Cross-platform Portable Extensible

Principles and Goals - Cross Platform (Linux, Windows, multiple architectures) - Standardized Protocols - Secure technology isolation from app developer - Availability of technology Security Protected General Computing Application execution with runtime integrity checking Secure Execution Environment Privileged executions and systems resource access control Secure Boot/Updates Hardware Root of Trust Bootstrapping and recovery Trust anchor

Concepts – Edge Runtime provides fundamental services Security Azure Io. T Edge device Multiplexing Store and forward (Offline) Management for devices otherwise isolated from internet Azure Io. T Edge Runtime � �

Concepts – Modules Edge Runtime manages modules Modules add capabilities to the runtime Each module performs an action Chain of modules can be thought of as a data processing pipeline, solving an end to end scenario Modules are Docker containers Custom modules can be written in the language of your choice Scenario: Find insights in the cloud from telemetry sent by a device that does not speak an internet ready protocol. Azure Io. T Edge device Module Telemetry Protocol ingestion Module Data formatting Azure Io. T Edge Runtime Telemetry ML

Concepts – Cloud off load Modular architecture for cloud offload Azure services provide AI modules provide true edge analytics Ecosystem for 3 rd party edge services Scenario: Find insights locally from telemetry data and only send insights to the cloud. Azure Io. T Edge device Module Telemetry Ingest Module Format ML Azure Io. T Edge Runtime Insights

Concepts – Cloud configurability and Monitoring Runtime + Io. T Hub provide full control of device lifecycle Scenario: Find insights locally from telemetry data and only send insights to the cloud. Configure a workflow Ingest Format Target a device Deploy Azure Io. T Edge device Monitor Azure Io. T Edge Runtime ML

Day Session Speaker Time Location Mon 25 th Introduction to Windows Io. T Adi Hariharan 4 - 5: 15 PM OCCC West Hall F 3 -4 Overview of how Azure can help with your Io. T solution Sam George 4 - 5: 15 PM Hyatt Windermere X Tues 26 th Microsoft Io. T: When you connect your business with Io. T, the opportunities are endless Sam George 9: - 10: 15 AM OCCC Chapin Theater W 320 Cool Devices in Windows Io. T Adi Hariharan 10: 50 - 11: 10 AM OCCC S – Expo Theater #10 Zero touch device registration with Azure Io. T Nicole Berdy Olivier Bloch 11: 30 - 12: 15 PM Hyatt Windermere W Building Reliable Io. T Solutions in the Cloud, Fast Cory Newton-Smith 12: 30 - 1: 45 PM Hyatt Windermere Y Enable Edge Computing with Azure Io. T Edge Olivier Bloch 9 - 10: 15 AM Towards a trustworthy internet of things Arjmand Samuel 12 - 1: 45 PM Hyatt Windermere Y Put your time series data to work for your business OP Ravi Jason Killeleagh 3: 15 - 4: 00 PM Hyatt Windermere Y Enable Io. T Scenarios with Edge Computing Olivier Bloch 10 - 11: 10 AM OCCC South – Expo Theater #10 Get started developing with Azure Io. T Olivier Bloch 12: 30 - 1: 45 PM Hyatt Windermere Y Tips and tricks to help your Io. T solution scale Nicole Berdy 2 - 2: 45 PM Hyatt Windermere W Weds 27 th Thurs 28 th