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How to Manage Your Time Series Data Pipeline at the Edge with InfluxDB

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How to Manage Your Time Series Data Pipeline at the Edge with InfluxDB

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Prescient Devices is the creator of a low-code DataOps solution for the edge. Prescient Devices’ flagship product, Prescient Designer, is a simple, graphical, and programmable SaaS workflow development platform which helps clients to work with time series data at the edge. It enables IT/OT teams, data engineers and system integrators to build and manage agile data pipelines with zero lines of code. Discover how InfluxDB enables Prescient Devices’ clients to aggregate their IIoT sensor data at the edge for easy reporting and dashboards. By using a time series database, their customers make distributed data operations, such as ETL and edge analytics, faster and more convenient for end users.

Join this webinar as Pablo Acosta and Ashish Yadav dive into:

Prescient Devices’ approach to building advanced edge-to-cloud data pipelines
How to store, retrieve, and aggregate data from the edge for distributed data operations
Their methodology to using a time series database for distributed ETL and edge analytics

Prescient Devices is the creator of a low-code DataOps solution for the edge. Prescient Devices’ flagship product, Prescient Designer, is a simple, graphical, and programmable SaaS workflow development platform which helps clients to work with time series data at the edge. It enables IT/OT teams, data engineers and system integrators to build and manage agile data pipelines with zero lines of code. Discover how InfluxDB enables Prescient Devices’ clients to aggregate their IIoT sensor data at the edge for easy reporting and dashboards. By using a time series database, their customers make distributed data operations, such as ETL and edge analytics, faster and more convenient for end users.

Join this webinar as Pablo Acosta and Ashish Yadav dive into:

Prescient Devices’ approach to building advanced edge-to-cloud data pipelines
How to store, retrieve, and aggregate data from the edge for distributed data operations
Their methodology to using a time series database for distributed ETL and edge analytics

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How to Manage Your Time Series Data Pipeline at the Edge with InfluxDB

  1. 1. 1 How to Manage Your Time Series Data Pipeline at the Edge with InfluxDB Pablo Acosta Ph.D. VP Engineering Prescient Ashish Yadav Director of Software Development Prescient www.prescientdevices.com
  2. 2. 2 Agenda • Introduction to Prescient • Prescient Designer architecture • Why InfluxDB? • Prescient Edge Use Cases • Present & Future of InfluxDB support • Schedule a demo! F E A T U R E D S P E A K E R S Pablo Acosta Ph.D. VP Engineering pablo.acosta@prescientdevices.com Ashish Yadav Director of Software Development ashish.yadav@prescientdevices.com
  3. 3. 3 20 10 Years of IoT We built end-to-end IoT solutions and deployed over 500,000+ devices in prior venue Years of Hardware & System We built hardware and data solutions to go into Cisco and Ericsson networking equipment 70 Companies transformed Helping 70+ companies to transform edge data operations Realizing value of edge data at scale, fast
  4. 4. 4 Distributed programming Cloud hosted Powered by Node-RED Remote collaboration Solution templates Machine learning End-to-end security Recovery & rollback Built-in communication Sensors & hardware support Smart analytics
  5. 5. 5 What do we do? Workwithdata from any source at the edge, in the cloud, or both • Build solutions in 2 weeks • Make changes in hours • Supports most edge data sources, protocols, and hardware • Professional services available • Acquire, extract, transform, analyze, visualize, and load • Deliver data into and process data from data warehouses, data lakes, and AI engines • Edge computing and cloud computing in the same flow • Low-code platform to enable continuous innovation • 12x faster implementation and 6x lower cost • Open ecosystem built on Node-RED and Node.JS Createanddeploy edge-to-cloud solutions that evolve rapidly Empowerengineers to unlock the value of data and drive innovations
  6. 6. 6 Native & Container Prescient Broker D E V I C E 1 Control and data have separate credentials (users) • Prescient Edge Runtime • Node-RED • InfluxDB • TensorFlow • Prescient Edge Runtime • Node-RED • InfluxDB • TensorFlow D E V I C E n D A T A C O N T R O L Architecture
  7. 7. 7 Makemassivenumbersofedgedatasourcesmanageable DATABASES DATA WAREHOUSES DATA LAKE AI ENGINE SENSORS CAMERAS EQUIPMENT FILES DATABASES APIs
  8. 8. 8 Why InfluxDB?  Initially backend use  Ideally suited for IIoT  User demand  First-class Node-RED support  Open source  Runs well in low-resource devices
  9. 9. 9 Challenges • Only “by time” retention policy Periodic check, incrementally drop older samples • Data rate constraint in edge devices Add rate limiting node before InfluxDB node, batch writes • Transition between Influx1.x and 2.x for users dbrp mapping, help users port their queries, “easydb in” node
  10. 10. 10 E D G E A P P L I C A T I O N U S E C A S E S IIoTandEdge Solutions DistributedEdge DataOps EdgeData Workflows AI Container Workflows Workflows
  11. 11. 11 UseCase Smart chemical solution Saves 8-months Development time • 1 application engineer, 2 months (part-time) • Monitor 100+ physical data parameters, consistent model between edge and cloud, perform analytics in edge controller • Deploy to hundreds of sites • Continuous innovation • InfluxDB use System status logging Data buffering in case of network or power loss Generates Recurring revenue $ Saves $300K Development cost
  12. 12. 12 UseCase Industry 4.0 predictive maintenance Saves 4-months Development time • 1 application engineer, 1 week • Uses vibration sensors to monitor CNC machine toolset • Detect errors and prevent damage • Complete custom solution in 1 week • InfluxDB for local redundancy Generates Recurring revenue $ Saves $160K Development cost
  13. 13. 13 13
  14. 14. 14 What is Node-RED Features Low Code Single device All development is local to the device 2M Node-RED downloads (2019) 98% of Fortune 500 companies use NodeJS Full-spectrum graphical development environment for event-driven applications
  15. 15. 15 Prescient Designer
  16. 16. 16
  17. 17. 17
  18. 18. 18 Prescient Designer
  19. 19. 19 Dashboard:
  20. 20. 20
  21. 21. 21 Device Provisioning
  22. 22. 22
  23. 23. 23 Prescient Edge Application Prescient Designer Device management in the cloud Prescient Edge Flows executed at the edge
  24. 24. 24 Dashboard:
  25. 25. 25 Present Future • Install InfluxDB on- premise by default • “easydb” read node  same user-friendliness as query builder in InfluxDB Cloud • “easydb” write node • Make database use accessible for engineers • Use InfluxDB for edge buffering when network connectivity loss
  26. 26. 26 We love projects! Schedule a Demo www.prescientdevices.com Follow Us @PrescientPDI Pablo Acosta Ph.D. | VP Engineering pablo.acosta@prescientdevices.com Ashish Yadav | Director of Software Development ashish.yadav@prescientdevices.com

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