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How Partners Use AWS IoT Services and Edge Compute to Grow (GPSTEC318) - AWS re:Invent 2018

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Demand for new products, lower prices, and higher quality drives manufacturers to invest in tools that can help them compete in a global marketplace. The availability of IoT data and edge computing is helping manufacturers create new business models, add new functionality into existing products, create more accurate maintenance predictions, and optimize product design. In this session, we explore how AWS IoT, AWS Greengrass, and machine learning (ML) impact product design and production. Topics include: IoT, secondary sensing, IT vs. OT networks, ML at the edge, and digital twin. We discuss AWS services like AWS IoT, AWS IoT Analytics, AWS Greengrass, and Amazon SageMaker, and we describe both AWS Partner Network (APN) Technology Partner solutions and industry-specific AWS reference architectures.

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How Partners Use AWS IoT Services and Edge Compute to Grow (GPSTEC318) - AWS re:Invent 2018

  1. 1. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. How Partners Use AWS IoT Services and Edge Compute to Grow Tom Jones Segment Architect, Industrial Software Amazon Web Services G P S T E C 3 1 8 Kyle Lichtenberg Global Head, Growth Partners Amazon Web Services
  2. 2. “No matter where you go, there you are.” Buckaroo Banzai
  3. 3. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Agenda
  4. 4. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Chester
  5. 5. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  6. 6. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Then
  7. 7. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Lorem ipsum dolor sit amet, error possim abhorreant vix ne, ne mel debitis iudicabit voluptatibus. Affert timeam debitis no nam. Sint democritum complectitur his an. Ex mei admodum inciderint, cum cu nihil commune atomorum. Vix ea possit similique elaboraret. Now
  8. 8. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. 8+ billion How many devices? 20+ billion
  9. 9. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Humans VS devices
  10. 10. “In 2017, for the first time, we had more connected IoT devices than the population of the planet.”
  11. 11. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  12. 12. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Use case - Chemical manufacturer - Wholesale - Standard - Custom-formulations The company:
  13. 13. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Use case - Managed services solution - Lower costs - Increase quality - Maximize equipment life Desired business outcomes:
  14. 14. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon Web Services (AWS) Premier Consulting Partner AWS IoT Competency Partner Los Angeles | Irvine | Chicago | Dallas | Houston | New York | Vancouver | Calgary | Toronto | Montreal
  15. 15. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Discovering patterns Firmware/software: Provisioning OTA activation/updates/mgmt Raw messages -> Amazon Simple Storage Service (Amazon S3) Realtime -> AWS Lambda SMS/e-mail/push alerts API for web/mobile apps Dashboard for support users Analytics Hardware: Microcontroller WiFi & Bluetooth Batteries, charging circuitry, and more I2C Serial USB GPIO
  16. 16. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Rapid prototype board • Get started immediately with in-stock, fully assembled hardware • Begin collecting sensor data on Day 1 • Multiple pre-integrated connectivity options, including Wi-Fi, BLE & LTE • Exposed contacts for easy prototyping
  17. 17. AWS Cloud MQTT over TLS © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. In the Field GenericDevice GenericDevice GenericDevice GenericDevice Device Registry IoT Rules Engine Web Client Lambda Function Lambda Function Lambda Function Web App Bucket Active Dataset S3 Data Lake Historical Data Triggers Sensor Data Analytics User Old Data
  18. 18. IoTanium challenges & solutions • Serialization at cloud scale → Leverage Kinesis + AWS Lambda • “Active data” vs reporting data → DynamoDB vs Amazon S3 • Monitor & manage devices, firmware updates → IoT device manager • View device status, graph results → IoTanium device dashboard • Ease of management/scaling → Serverless! • Modern development workflow & tools… © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  19. 19. “We had developers and engineers from Onica in our office working side- by-side with our teams to help us learn and understand how to leverage the ecosystem in Amazon and help architecturally build the solutions we created. I think the partnership has been one where they are an extension of our team at this point.” Tommy McClung CTO
  20. 20. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Customer Outcomes • Improved quality • Lowered costs • Transition to a service not just a supplier Partner Outcomes • Repeatable patterns • Hardware • Software • Time to POC / Market
  21. 21. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Why does their architecture use Amazon Kinesis Data Firehose? QUIZ Data flows to Amazon S3 without any compute What AWS Service did Onica use to query their data lake? Amazon Athena How many connected devices are projected to be online by 2020? 20 Billion
  22. 22. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  23. 23. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Use case Ham-Let - Manufacturing Q: How does IoT impact business? Q: How does AI impact business?
  24. 24. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Advanced Technology Partner APN Competency Partner Siemens MindSphere
  25. 25. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  26. 26. Region VPC On-Premises Siemens Managed Gateway AWS Cloud Ham-Let Valve Siemens MindSphere VPC Instances SAM Secure Connectivity Bucket with objects Device Management Siemens MindSphere Applications Enriching information © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. MQTT protocol
  27. 27. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. AWS Greengrass Running in a Docker Container on the Edge Greengrass Container
  28. 28. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Demo Suitcase as Shown @ AWS re:Invent 2018
  29. 29. “Using a combination of machine learning, edge computing, and the cloud, connected Industrial IoT valves provide customer with accurate and cost effective measurement and monitoring capabilities.” Amir Widmann, Ham-Let Group CEO
  30. 30. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. What technology did Seimens use to build, train, and deploy machine learning models quickly? QUIZ Amazon SageMaker Which service seamlessly extends AWS to edge devices so they can act locally on the data they generate? AWS Greengrass What is Kyle’s dog’s name? Chester!
  31. 31. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  32. 32. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. La Marzocco – Manufacturer The company: - Italian manufacturer of high-end espresso machines - Standard sales model - Service contracts on machines - In-house engineering team Use case
  33. 33. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. La Marzocco – Manufacturer Desired Business Outcomes: - Track & Monitor Assets remotely - Customer Intimacy - Increase after-sales revenue - Maintain leading brand position - Improve R&D efforts from customer usage information Use case
  34. 34. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. La Marzocco – Manufacturer Challenges: - Zero asset visibility - Zero customer Intimacy - Stagnant revenue Use case
  35. 35. Architecture AWS Cloud RELAYR CLOUD RELAYR MICROSERVICES
  36. 36. “The project with Relayr is the heart of our future … ” Guido Bernardinelli, CEO, La Marzocco
  37. 37. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Why Relayr chose AWS - Support from AWS as a partner - Platform Reliability - Scalability - Flexibility - Modularity - Long Term Partnership
  38. 38. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. What service did Relayr choose for container management? QUIZ Amazon ECS What product lead to a 30% increase in LaMarzocco’s market? Espresso as a Service What would make Chester really happy? Filling out your survey! (and treats)
  39. 39. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  40. 40. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Business value summary
  41. 41. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Shift in business models Accelerate your business by moving to a service
  42. 42. "You keep using that word. I do not think it means what you think it means.” Inigo Montoya, The Princess Bride
  43. 43. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  44. 44. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. the DOGHOUSE 5.0
  45. 45. Thank you! © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved. Tom Jones tpjones@amazon.com Kyle Lichtenberg klichten@amazon.com
  46. 46. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.

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