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DevOps Fest 2020. Pavlo Repalo. Edge Computing: Appliance and Challanges

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Over the last years booming of cloud technologies created a lot of opportunities for business and together with IoT expansion established new niche: Edge Computing. Since it's one of the first speech within the UA community we will go through main points about the origin, business use cases, main frameworks, and challenges. Why DevOps people should start learning embedded programming aspects and why we shouldn't allow to register a cloud node after reboot? That's the questions what we'll also review with professional part of the audience.

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DevOps Fest 2020. Pavlo Repalo. Edge Computing: Appliance and Challanges

  1. 1. Edge Computing: Appliance and Challenges DevOps Fest 2020
  2. 2. What I will share with you today ● What is Edge Computing? ● Where to use in business ? ● Why it's going to be next big thing? ● What it means for DevOps? ● What were the practical Challenges? ● Our vision of the future ● Q&A
  3. 3. What is Edge Computing? Main aspects ● resources virtualization ● close to data origin ● low latency for real time apps <20ms ● distributed computing resources ● autonomous operation capabilities
  4. 4. Typical Device Edge Computing approach
  5. 5. What is Edge Computing? Base Resources virtualization ● CPU ● GPU ● RAM ● Network ● Flash memory Periphery access management ● GPIO ● Southbound radio ● PCIe ● USB ● Audio/Video ● Power ● Industrial Bus(-es) ● Sensor ports https://www.pine64.org/rockpro64/
  6. 6. Where to use in business? Application areas and use cases ● Telecommunications ● Manufacturing ● Automotive ● Mining, Oil & Gas ● Energy ● Agriculture ● SpaceTech https://www.gartner.com/smarterwithgartner/what-edge-computing-means-for-infra structure-and-operations-leaders/
  7. 7. Where to use in business? CASE 1: Video processing Video analysis & enhancements Why I need to send video stream to cloud to extract plate ID?
  8. 8. Where to use in business? CASE 2: Factory 4.0 Robotics & Manufacturing I need to communicate locally, resiliently and at lowest cost
  9. 9. Where to use in business? CASE 3: Software Defined Satellite Space Tech ● Camera and sensors storing data to local storage on satellite ● Different data models processing the data and supply it to the own infrastructure on the ground
  10. 10. Why going to be the Next Big Thing? Key factors of business success and why it’s serious ● Market needs to connect clouds and IoT ● Powerful governance by Linux Foundation & LF Edge ● Major investments from key tech players Trillions of sensors & controls All kind of clouds
  11. 11. You Missed The Cloud Revolution? Edge is 4X the Size & Will Hit 4 Trillion Economy* http://www.chetansharma.com/publications/edge-internet-economy/ Arpit Joshipura, General Manager LF Networking, Edge and IoT at Linux Foundation. ONS 2019, Antwerp Belgium
  12. 12. Edge Computing: Key DevOps specifics What to take care specially ● Resources management (scaling and periphery control) ● Autonomous payload execution (especially for the Device Edge) ● Security aspects: Secure boot
  13. 13. Edge Computing: our challenges Practical aspects: AgTech Why Edge Computing but not pure Embedded approach? Solution dev process - need to know IoT & domain specifics QA process - traditional vs reality Support&Maintanace aspects (SW upgrade, debug, monitoring) Upcoming challenges: Connectivity-as-a-Service (eSIM) Proof of data origin CV integration for non-AI specific HW
  14. 14. Practical aspects: AgTech ➔ It’s NOT “Embedded vs cloud” it’s “Embedded PLUS Cloud” ➔ CI/CD & QA automation possibilities ➔ Applications scalability ➔ No chip dependency ➔ Allows 3rd party applications ➔ Imagine it’s like IOS or Android vs legacy firmware phone Why Edge Computing but not pure Embedded approach?
  15. 15. Practical aspects: AgTech Solution development process ➔ Need to know IoT and domain specifics ➔ GPS is not precise, not stable and needs to be filtered ➔ Want to have stable precise positioning (RTK)? Stable connectivity required ➔ Sensors (self-) calibration ➔ Environmental conditions: outdoor, UV, Vibrations, chemicals, thermal management
  16. 16. Practical aspects: AgTech QA process: Load testing Traditional vs Edge
  17. 17. Practical aspects: AgTech QA: Staging environment Traditional vs Edge:
  18. 18. Practical aspects : AgTech Support & Maintenance aspects ➔ Low qualified operational personnel - make it plug&play or disable it ➔ Operating in the middle of nowhere ➔ Low speed & unstable connectivity: don’t expect stable telemetry & console ➔ Foolproof user design is a must ➔ If mobile network used - who is managing account balance? Credit: NASA/JPL-Caltech/MSSS
  19. 19. Upcoming challenges: Connectivity-as-a-Service
  20. 20. Upcoming challenges: ➔ Define TPM to be used ➔ Implement secure boot by utilizing Keylime project ➔ Enable digital signature for upstreaming data https://keylime.dev/ Proof of data origin & secure boot using TPM
  21. 21. Upcoming challenges: Computer Vision integration for non-AI specific HW ➔ Training dataset collection (another use case for EdgeGW ) ➔ Linking container with data model to specific GPU ➔ Integration with autopilot for route correction for rows tracking

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