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Considerations for Enterprise Grade IoT Ishu Verma Red Hat AGENDA l 50 Shades of IoT l Functions, Features & Security l Beyond Devices, Sensors. l Enterprise Grade IoT l Intelligent IoT Gateway l Summary 2 CONSUMER IOT Data acquisition at


  1. Considerations for Enterprise Grade IoT Ishu Verma Red Hat

  2. AGENDA l 50 Shades of IoT l Functions, Features & Security l Beyond Devices, Sensors…. l Enterprise Grade IoT l Intelligent IoT Gateway l Summary 2

  3. CONSUMER IOT Data acquisition at edge, intelligence in cloud l Focus: Smart Home and Wearables l Drivers: Devices and Features l Packaged and Maker/DIY l 2-tier Architecture 3

  4. Enterprise IoT

  5. ENTERPRISE IOT SECURITY Multi-tiered, multi-layered approach l Integrity l Trust l Identify, authenticate, encrypt l System wide l Threat discovery & governance l Risk mitigation l PKI & key management l Lifecycle l Best practices from enterprise data center 5

  6. ENTERPRISE IOT CHARACTERISTICS Non-Enterprise Enterprise l Strategic l Siloed l IT + OT l Tactical l Long life cycle l Quick l Cost optimized l 2-tier architecture l 3-tier architecture 6

  7. ENTERPRISE IOT DRIVERS Business Case Regulatory Requirements Standardization: Hardware, Interfaces Lower Cost: Compute, Storage, Communication 7

  8. ENTERPRISE CONSIDERATIONS l Long life, mission-critical, safety focus l Integrate with existing SW capabilities, infrastructure l Security l Failover/Failsafe/Failsoft l Value in data 8

  9. OTHER CONSIDERATIONS Scaling IoT deployments requires enterprise capabilities that go beyond sensors, devices, gateways l Common development framework l Device to Gateway to Cloud l Mobile l Dev Ops l Large-scale managed deployment expertise l Support and certification l Open, standards-based, community-driven 9

  10. UNIFIED ENTERPRISE IOT ARCHITECTURE 10

  11. A THREE-TIER ARCHITECTURE FOR THE INTERNET OF THINGS Datacenter functionality Controller functionality End point functionality • Long-term data analytics • Communications • Communications • Long-term control • Data summary • Data acquisition • Rule creation • Real-time data • Reporting analytics • Enterprise applications • Real-time actions/rules • Service management • Security

  12. INTELLIGENT GATEWAY Data acquisition, integration, and rules activation, providing dynamic intelligence at the edge Bridge between IT and OT by streamlining the many data formats and velocities Process and act on data at scale • Reduce latency and bandwidth • Apply real-time decisions locally • Transform IoT data and connect • with enterprise systems Control and manage millions of IoT • devices Implement security policies • 12

  13. ENTERPRISE GRADE INTELLIGENT GATEWAY l Secure foundation with Red Hat Enterprise Linux l Integration with enterprise systems l Multi-protocol message broker l Reliable data delivery over unreliable network l Light-weight enterprise service bus l Business Rules and complex event processing l Separate the the business rules from the applications l Rules expressed in business language l Automation

  14. ENTERPRISE IOT - SUMMARY Enterprise requirements—security, reliability, scalability—executed from data center to the edge l Integration with existing infrastructure (IT + OT) l Enterprise IoT security l System-wide security l Enterprise best practices l Scalable IoT deployments l Dev framework, Dev Ops & enterprise capabilities l Enterprise IoT architecture l 3-tier Architecture l Intelligence at the edge l Enterprise-grade intelligent gateway l Open standards-based and community-driven 14

  15. THANK YOU Ishu Verma: iverma@redhat.com www.redhat.com/iot

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