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#CONNECT17
Maturing IoT solutions with
Microsoft Azure
Glenn Colpaert
Azure/IoT Domain Lead
@GlennColpaert
Sam Vanhoutte
CTO
@SamVanhoutte
Leveraging IoT to achieve
innovation & agility
2
Helping customers in selecting and testing
the right compute devices
Remote monitoring
3
Innovative energy management for
industry, building & grid
An energy platform for a big eco-system
4
Selling added value services,
instead of just industrial machines
Industrial IoT
5
IoT End-to-End Value Chain
Focus on quick value creation
• Quick & fast connectivity
• Often using simulated devices
• Telemetry ingestion
• Reporting, visualization & basic integration
• Data storage & basic analytics (time series)
• Business rules
Proof of concepts
Robustness, reliability & security
• Reliability, buffering & retries
• Remote updates
• Security hardening
• Bandwith & compute optimization
• Edge capabilities & local actions
• Multi-tenancy, privacy & GDPR
• Logistics & deployment automation
Real world deployments
Proof of concepts vs reality
Time spent in project phases
Real world deployments
Proof of concepts vs reality
Time spent in project phases
Proof of concepts
Microsoft Azure IoT
9
InsightsThings DataConnectivity
A simple view on IoT
However... IoT projects can be complex
How to connect things
that are hard to
connect?
Edge Computing
Edge Analytics
Data Storage
Data Visualization
Device Management
Device Lifecycle
Cold Analytics
Warm Analytics
Scale
How to get started?
…
End to End Security
Simplifying IoT
SECURITY MANAGEMENT INSIGHTS EDGE
Making it easier to build, secure and provision scalable solutions from device to cloud....
Microsoft Azure IoT Services
Devices Edge
Device
Connectivity
Application
Business Logic
Storage
Analytics and
Stream
Processing
Presentation &
Business
Connectivity
Azure IoT
Edge
Event
Hubs
Service
Fabric
SQL
Database
Machine
Learning
App
Service
IoT Hubs
App
Services
Table/
Blob
Storage
Stream
Analytics
Power BI
Service
Bus
Azure
Functions
Cosmos
DB
HDInsight Event Grid
External
Data
Sources
SQL Data
Ware-
house
Data
Factory
Mobile
Services
External
Data
Sources
Logic
Apps
But wait...
Is there something to start with?
➔ Easy accessible
➔ Business Focus
Microsoft IoT Central
ISV
SI
Gateway
Device
Silicon
Predictive
maintenance
Field
serviceCustomer
engagement
Asset
utilization
Energy
management
Employee
productivity
Digital
Transformation
Ecosystem
Microsoft
IoT Central
Azure IoT Suite
Start with preconfigured solutions
• Get Started in minutes
• Modify existing rules and alerts
• Add your devices and begin tailor to your needs
Finish with your IoT Application
• Fine-tuned to specific assets and processes
• Highly visual for your real-time operational data
• Integrate with back-end systems
From PoC to production
18
The PoC design
Connectivity challenges
Connectivity
21
Assuming stable cloud connectivity will not benefit the stability of your solution
Retrofitting challenge
22
Neglecting your current installed-base means your project will have
a time-to-value of years
Messaging capabilities
Forgetting aggregation or filtering can result in unnecessary costs
Security
When your first security audit isn’t organized by you, you’re in for some trouble
Patch & update
Not implementing a remote update strategy will cost more money in the end.
Announcing: Nebulus™ IoT Gateway
– Software field gateway
– 100% remotely controlled
– Cross platform (Windows, Linux, Docker)
– Extensible & flexible
Edge capabilities
IoT Pattern for Edge
28
Cloud
Gateway Insights ActionsThings
Azure IoT Hub
Insights Actions
The edge matters for industrial IoT
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
Symmetry
Hardware for Azure IoT Edge
Ability to run on devices smaller than a Raspberry Pi
128MB memory
Support best in class operating systems such as Windows, and Linux
Azure IoT Edge IoT Hub
Devices
Local Storage
Nebulus IoT
Gateway
(Container)
Functions
RuntimeContainer
Management
Supporting Azure IoT Edge
– Container based modules
– Azure Functions
– Azure Stream Analytics
– Azure Machine Learning
– Cognitive Services
– Offline / Synchronized Device Twins
– Local Storage
– Cloud Management & Deployment
– High Availability / Fault Tolerance
– Cloud Dev/Test Support
Device
Twin
Device
Twin
Azure Stream
Analytics
(Container)
Azure Functions
(Container)
Cognitive Services
(Container)
Azure Machine
Learning
(Container)
Module
Twin
Module
Twin
Module
Twin
Module
Twin
Module
Twin
Module
Twin
Module
Twin
Module
Twin
Module
Twin
Module
Twin
Flexible & multi-tenant business logic
Service Fabric
Azure
Windows
Server
Linux
Hosted Clouds
Windows
Server
Linux
Service Fabric
Private Clouds
Windows
Server
Linux
High Availability
Hyper-Scale
Hybrid Operations
High Density
Microservices
Rolling Upgrades
Stateful services
Low Latency
Fast startup &
shutdown
Container Orchestration
& lifecycle management
Replication &
Failover
Simple
programming
models
Load balancing
Self-healingData Partitioning
Automated Rollback
Health
Monitoring
Placement
Constraints
A platform for reliable, hyperscale, microservice-based applications
Azure SQL Database Elastic Pool
b c
a
➔ Maintain seperate isolated databases
➔ Small and large databased within the pool
depending on ‘tenant’ size
➔ Granular resource limitations on ‘tenant’ level
➔ Aggregate capacity to smooth peaks
➔ Designed for SaaS
➔ Save money!
Cross tenant insights
Integration & flexibility
Service Bus
E
AD C B
Logic Apps – Connect Anything
➔ Implement workflows seamlessly
➔ Use simple, user-friendly and intuitive tools
➔ Connect systems across on-premises and cloud
➔ Jumpstart with pre-defined templates
➔ Create scalable integrations withouth coding
➔ Extend default capabilities with Azure Functions
➔ Reach out easily to other Azure Services
Automate & iterate fast
Visual Studio Team Services
Conclusion
Security Program
for Azure IoT
Matchmaking with IoT
security auditors
Azure IoT Hub
Device Mgmt.
Cross platform and fully
extensible at scale
Azure IoT
Edge
Cross platform and open
source
Microsoft IoT
Central
Fully managed and
hosted IoT SaaS
Azure IoT Hub
message routing
Simple, powerful,
declarative
Security
Partnerships
/DICE
Secure hardware
attestation for
constrained devices
Azure Stream
Analytics for
Edge
Complex event
processing on Azure IoT
Gateway SDK
Azure IoT Hub
Device
Provisioning
Cross platform and fully
extensible at scale
Azure IoT Suite
connected
factory
Pre-configured Solution
for Insights from OPC
installations
Azure Time
Series Insights
Fully managed Time
Series Store and UX
Azure IoT Recent Innovations
Conclusion
Value is created by making sense of your dataDATA
Connect insights back to businessINSIGHTS
Implement security from day zeroSECURITY
IoT Edge is there for low latency scenariosEDGE
Get your connectivity right from the startCONNECT
Thank you!
Keep in touch.
Call or mail us. Ask us. Happy to help.

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Maturing IoT solutions with Microsoft Azure (Sam Vanhoutte & Glenn Colpaert at CONNECT17)

  • 1. #CONNECT17 Maturing IoT solutions with Microsoft Azure Glenn Colpaert Azure/IoT Domain Lead @GlennColpaert Sam Vanhoutte CTO @SamVanhoutte
  • 2. Leveraging IoT to achieve innovation & agility 2
  • 3. Helping customers in selecting and testing the right compute devices Remote monitoring 3
  • 4. Innovative energy management for industry, building & grid An energy platform for a big eco-system 4
  • 5. Selling added value services, instead of just industrial machines Industrial IoT 5
  • 7. Focus on quick value creation • Quick & fast connectivity • Often using simulated devices • Telemetry ingestion • Reporting, visualization & basic integration • Data storage & basic analytics (time series) • Business rules Proof of concepts Robustness, reliability & security • Reliability, buffering & retries • Remote updates • Security hardening • Bandwith & compute optimization • Edge capabilities & local actions • Multi-tenancy, privacy & GDPR • Logistics & deployment automation Real world deployments Proof of concepts vs reality
  • 8. Time spent in project phases Real world deployments Proof of concepts vs reality Time spent in project phases Proof of concepts
  • 11. However... IoT projects can be complex How to connect things that are hard to connect? Edge Computing Edge Analytics Data Storage Data Visualization Device Management Device Lifecycle Cold Analytics Warm Analytics Scale How to get started? …
  • 12. End to End Security
  • 13. Simplifying IoT SECURITY MANAGEMENT INSIGHTS EDGE Making it easier to build, secure and provision scalable solutions from device to cloud....
  • 14. Microsoft Azure IoT Services Devices Edge Device Connectivity Application Business Logic Storage Analytics and Stream Processing Presentation & Business Connectivity Azure IoT Edge Event Hubs Service Fabric SQL Database Machine Learning App Service IoT Hubs App Services Table/ Blob Storage Stream Analytics Power BI Service Bus Azure Functions Cosmos DB HDInsight Event Grid External Data Sources SQL Data Ware- house Data Factory Mobile Services External Data Sources Logic Apps
  • 15. But wait... Is there something to start with?
  • 16. ➔ Easy accessible ➔ Business Focus Microsoft IoT Central ISV SI Gateway Device Silicon Predictive maintenance Field serviceCustomer engagement Asset utilization Energy management Employee productivity Digital Transformation Ecosystem Microsoft IoT Central
  • 17. Azure IoT Suite Start with preconfigured solutions • Get Started in minutes • Modify existing rules and alerts • Add your devices and begin tailor to your needs Finish with your IoT Application • Fine-tuned to specific assets and processes • Highly visual for your real-time operational data • Integrate with back-end systems
  • 18. From PoC to production 18
  • 21. Connectivity 21 Assuming stable cloud connectivity will not benefit the stability of your solution
  • 22. Retrofitting challenge 22 Neglecting your current installed-base means your project will have a time-to-value of years
  • 23. Messaging capabilities Forgetting aggregation or filtering can result in unnecessary costs
  • 24. Security When your first security audit isn’t organized by you, you’re in for some trouble
  • 25. Patch & update Not implementing a remote update strategy will cost more money in the end.
  • 26. Announcing: Nebulus™ IoT Gateway – Software field gateway – 100% remotely controlled – Cross platform (Windows, Linux, Docker) – Extensible & flexible
  • 28. IoT Pattern for Edge 28 Cloud Gateway Insights ActionsThings Azure IoT Hub Insights Actions
  • 29. The edge matters for industrial IoT 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 Symmetry
  • 30. Hardware for Azure IoT Edge Ability to run on devices smaller than a Raspberry Pi 128MB memory Support best in class operating systems such as Windows, and Linux
  • 31. Azure IoT Edge IoT Hub Devices Local Storage Nebulus IoT Gateway (Container) Functions RuntimeContainer Management Supporting Azure IoT Edge – Container based modules – Azure Functions – Azure Stream Analytics – Azure Machine Learning – Cognitive Services – Offline / Synchronized Device Twins – Local Storage – Cloud Management & Deployment – High Availability / Fault Tolerance – Cloud Dev/Test Support Device Twin Device Twin Azure Stream Analytics (Container) Azure Functions (Container) Cognitive Services (Container) Azure Machine Learning (Container) Module Twin Module Twin Module Twin Module Twin Module Twin Module Twin Module Twin Module Twin Module Twin Module Twin
  • 32. Flexible & multi-tenant business logic
  • 33. Service Fabric Azure Windows Server Linux Hosted Clouds Windows Server Linux Service Fabric Private Clouds Windows Server Linux High Availability Hyper-Scale Hybrid Operations High Density Microservices Rolling Upgrades Stateful services Low Latency Fast startup & shutdown Container Orchestration & lifecycle management Replication & Failover Simple programming models Load balancing Self-healingData Partitioning Automated Rollback Health Monitoring Placement Constraints A platform for reliable, hyperscale, microservice-based applications
  • 34. Azure SQL Database Elastic Pool b c a ➔ Maintain seperate isolated databases ➔ Small and large databased within the pool depending on ‘tenant’ size ➔ Granular resource limitations on ‘tenant’ level ➔ Aggregate capacity to smooth peaks ➔ Designed for SaaS ➔ Save money!
  • 38. Logic Apps – Connect Anything ➔ Implement workflows seamlessly ➔ Use simple, user-friendly and intuitive tools ➔ Connect systems across on-premises and cloud ➔ Jumpstart with pre-defined templates ➔ Create scalable integrations withouth coding ➔ Extend default capabilities with Azure Functions ➔ Reach out easily to other Azure Services
  • 40. Visual Studio Team Services
  • 42. Security Program for Azure IoT Matchmaking with IoT security auditors Azure IoT Hub Device Mgmt. Cross platform and fully extensible at scale Azure IoT Edge Cross platform and open source Microsoft IoT Central Fully managed and hosted IoT SaaS Azure IoT Hub message routing Simple, powerful, declarative Security Partnerships /DICE Secure hardware attestation for constrained devices Azure Stream Analytics for Edge Complex event processing on Azure IoT Gateway SDK Azure IoT Hub Device Provisioning Cross platform and fully extensible at scale Azure IoT Suite connected factory Pre-configured Solution for Insights from OPC installations Azure Time Series Insights Fully managed Time Series Store and UX Azure IoT Recent Innovations
  • 43. Conclusion Value is created by making sense of your dataDATA Connect insights back to businessINSIGHTS Implement security from day zeroSECURITY IoT Edge is there for low latency scenariosEDGE Get your connectivity right from the startCONNECT
  • 44. Thank you! Keep in touch. Call or mail us. Ask us. Happy to help.

Editor's Notes

  1. Things to add Diff poc/real world Federated integration/esb Edge capabilities Rules
  2. The PoC setup
  3. Assuming stable cloud connectivity will not benefit the stability of your solution
  4. 85% of devices are not Internet-ready Development effort in time and money (~ 9months+) 60% cloud cost reduction with edge processing Network optimization (batching, compression, message composition, queuing, throttling) Consistent implementation of infrastructure capabilities (security, credentials management) Neglecting your current installed-base means your project will have a time-to-value of years
  5. Not implementing a patch & update strategy for devices will cost more money in the end.
  翻译: