No matter what type of IoT devices you have, or what your use case is for them, you’re going to end up producing a lot of time series data. What you use to handle it is going to be as important to your success as the code you write yourself. This talk will evaluate the available open source tools for the collection, activation, transmission and visualization of time series data on the IoT Edge, and demonstrate how to use them, together with InfluxDB, to solve various use cases for the Internet of Things.

1. Michael Hall
@mhall119
Time Series on the IoT Edge

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Michael Hall - @mhall119
Things to know
• Who I am
• Sharing what I know
• #influx-iot channel on https://www.influxdata.com/slack
• Where links from this talk will be posted
• Q&A and sharing time

3. Open Source Time Series Platform
InfluxDB

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Michael Hall - @mhall119
What is InfluxDB?
• Founded in 2013
• Still Open Source
• Time Series Data Platform

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Dashboard and UI Library

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Michael Hall - @mhall119
Flux: A time series domain language

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Onboard alerting

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Onboard compute

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Client Libraries

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Code editor extensions

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APIs

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InfluxDB Templates

14. Open Source Data Collection
Telegraf

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What is Telegraf?
• Started in 2015
• Open Source
• Source and destination agnostic
• Plugin based architecture

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Input Plugins

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Output plugins

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Processor Plugins

19. Where does InfluxDB fit in?
Time Series Edge Stacks

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Michael Hall - @mhall119
3 Layers of IoT

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On Devices

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The Environment
• Many instances
• Limited resources
• Mostly ARM64
• Binary or Distro Package
• Write > Read

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The Time Series Use Case
• Local retention
• React to threshold crossing
• Perform anomaly detection

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Michael Hall - @mhall119
The Stacks
• Telegraf + InfluxDB
• Client Library + InfluxDB
• API + InfluxDB

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In the Cloud

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Michael Hall - @mhall119
The Environment
• Public/Private/on-prem
• One scalable instance
• x86_64 (but, some ARM64)
• Docker Container or Distro Package
• SaaS (InfluxDB Cloud)
• Read > Write

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Michael Hall - @mhall119
The Time Series Use Case
• Analyze data from everywhere (ML or AI)
• Integrate with adjacent services like BI
• Visualize & deliver data to users

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The Stacks
• Inbound Stack:
– Foglamp/Fledge
– EdgeX Foundry
– Eclipse Ditto
– Telegraf
• Outbound Stack:
– Grafana
– Python + Pandas
– Node.js + React + Giraffe

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On the Edge

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Michael Hall - @mhall119
The Environment
• Handful of instances
• Equivalent of a small PC
• Intermittent connectivity
• Distro Package, Docker Container, Snaps, EVE
• Read == Write

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Michael Hall - @mhall119
The Time Series Use Case
• Collect & aggregate data from many devices
• Alert on device failure or threshold crossing
• Downsample
• Store & forward
• Local visualizations

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Michael Hall - @mhall119
The Stacks
• TIG
• TIGUITTO
• Client Library + InfluxDB
• EdgeX + InfluxDB + Grafana
• AWS Greengrass + InfluxDB + Grafana
• Azure IoT + InfluxDB + Grafana

33. Thank You

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Michael Hall - @mhall119
InfluxData Links
• Influx Community Slack
• https://www.influxdata.com/slack
• Influx Community Forums
• https://community.influxdata.com/
• InfluxDB code
• https://github.com/influxdata/influxdb
• Telegraf code
• https://github.com/influxdata/telegraf
• Helm Charts
• https://github.com/influxdata/helm-charts
• Flux LSP
• https://github.com/influxdata/flux-lsp
• Community Templates
• https://github.com/influxdata/community-templates

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Michael Hall - @mhall119
Stack Links, part 1
• Tiquitto
• https://github.com/shantanoo-desai/tiguitto
• LFEdge/EVE
• https://github.com/shantanoo-desai/EVE-OS-tutorials/blob/master/01-Eve-Eden
-QEMU-telegraf.md
• LFEdge/EdgeX
• https://iotech.force.com/edgexpert/s/article/Using-the-Application-Service-with
-Influx-DB
• Eclipse IoT/Ditto
• https://www.eclipse.org/ditto/advanced-data-by-pass.html

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Stack Links, part 2
• AWS Greengrass
• https://aws.amazon.com/blogs/opensource/how-to-use-influxdb-and-grafana-t
o-visualize-ml-output-with-aws-iot-greengrass/
• Azure IOT
• https://github.com/Azure-Samples/iot-edge-influxdb-grafana/blob/master/docu
mentation/influxdb_README.md
• Particle
• https://docs.particle.io/tutorials/integrations/influxdata/

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Michael Hall - @mhall119
Time Series tech stacks for the IoT Edge
No matter what type of IoT devices you have, or what your use
case is for them, you’re going to end up producing a lot of time
series data. What you use to handle it is going to be as important
to your success as the code you write yourself.
This talk will evaluate the available open source tools for the
collection, activation, transmission and visualization of time
series data on the IoT Edge, and demonstrate how to use them,
together with InfluxDB, to solve various use cases for the Internet
of Things.