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Volwassen IoT-oplossingen met Microsoft Azure (Sam Vanhoutte at CONNECT17)

  1. #CONNECT17 Maturing IoT solutions with Microsoft Azure 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
  6. IoT End-to-End Value Chain 6
  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
  9. Microsoft Azure IoT
  10. The Azure IoT Landscape 10 PaaSServices& DeviceSupport Azure IoT Edge Edge Support Azure IoT Hub Azure IoT Hub Device Provisioning Service IoT Services Azure Time Series Insights Azure Machine Learning Azure Stream Analytics Cosmos DB Azure Data Lake Azure Data Lake Analytics Azure HD Insight Spark, Storm, Kafka Azure Event Hubs Data & Analytics Services Microsoft Flow Azure Logic Apps Notification Hubs Azure Websites Microsoft Power BI Azure Active Directory Azure Monitor Visualization & Integration Services IoTSolutions (SaaS) Microsoft IoT Central IoT SaaS Microsoft Connected Field Service Field Service SaaS Device Support Azure IoT Device SDK Certified Devices Azure Certified for IoT Security Program for Azure IoT Windows 10 IoT Core IoTSolutions (PaaS) Remote Monitoring Predictive Maintenance Connected factory Azure IoT Suite
  11. The business case 11 Without creating a buy-in on executive level, IoT solutions rarely make it into production
  12. Open platforms 12 Without sharing results or providing an open platform, your customers adoption might be not great
  13. pitfalls on the way to a mature IoT solution
  14. Connectivity 14 Assuming stable cloud connectivity will not benefit the stability of your solution
  15. Retrofitting challenge 15 Neglecting your current installed-base means your project will have a time-to-value of years
  16. Edge capabilities Forgetting aggregation or filtering can result in unnecessary costs
  17. Security When your first security audit isn’t organized by you, you’re in for some trouble
  18. Patch & update Not implementing a remote update strategy will cost more money in the end.
  19. Spend your time and money wisely Don’t spend effort developing these: • Message handling implementation • Robust retry, resiliency • Remote updates • Transport protocol implementation • Credential management • Health reporting and diagnostics • Message persistence • Remote monitoring Commodity Spend effort developing these: • Edge analytics • Backend automation • Data Analytics & predictions • Own protocol implementations • Business logic modules • Rich reporting, visualizations & apps Value generators
  20. Announcing: Nebulus™ IoT Gateway – Software field gateway – 100% remotely controlled – Cross platform (Windows, Linux, Docker) – Extensible & flexible
  21. 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
  22. Thank you! Keep in touch. Call or mail us. Ask us. Happy to help. Next sessions: << Maalzolder: The Microsoft integration story (S.J. Wiggers) >> This room: The Azure IoT eco system (Glenn Colpaert)

Notas del editor

  1. Things to add Diff poc/real world Federated integration/esb Edge capabilities Rules
  2. Assuming stable cloud connectivity will not benefit the stability of your solution
  3. Assuming stable cloud connectivity will not benefit the stability of your solution
  4. Assuming stable cloud connectivity will not benefit the stability of your solution
  5. 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
  6. Not implementing a patch & update strategy for devices will cost more money in the end.
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