Using FLaNK with InfluxDB for EdgeAI IoT at Scale Timothy from StreamNative take you on a hands-on deep-dive on using Pulsar, Apache NiFi + Edge Flow Manager + MiniFi Agents with Apache MXNet, OpenVino, TensorFlow Lite, and other Deep Learning Libraries on the actual edge devices including Raspberry Pi with Movidius 2, Google Coral TPU and NVidia Jetson Nano. The team run deep learning models on the edge devices and send images, and capture real-time GPS and sensor data. Their low-coding IoT applications provide easy edge routing, transformation, data acquisition and alerting before they decide what data to stream real-time to their data space. These edge applications classify images and sensor readings real-time at the edge and then send Deep Learning results to Flink SQL and Apache NiFi for transformation, parsing, enrichment, querying, filtering and merging data to InfluxDB.

2. Using FLaNK with InfluxDB for
EdgeAI IoT at Scale
Tim Spann | Developer Advocate

3. streamnative.io
Tim Spann, Developer Advocate
DZone Zone Leader and Big Data MVB Data DJay

4. streamnative.io
Founded by the original developers of
Apache Pulsar and Apache BookKeeper,
StreamNative builds a cloud-native event
streaming platform that enables
enterprises to easily access data as
real-time event streams.

5. streamnative.io
Apache is an open source, cloud-native
distributed messaging and streaming platform.

6. streamnative.io
Powered by Apache Pulsar, StreamNative provides a
cloud-native, real-time messaging and streaming platform
to support multi-cloud and hybrid cloud strategies.
Built for Containers
Cloud Native Flink SQL
StreamNative Cloud

7. © 2021 InfluxData Inc. All Rights Reserved.
● Apache Flink
● Apache Pulsar
● StreamNative's Flink Connector for Pulsar
● Apache NiFi
● Apache +++
FLiP(N) Stack

8. © 2021 InfluxData Inc. All Rights Reserved.
Apache Pulsar InfluxDB Sink
https:/
/pulsar.apache.org/docs/en/io-influxdb-sink/

9. © 2021 InfluxData Inc. All Rights Reserved.
Apache Pulsar InfluxDB Sink
bin/pulsar-admin sink stop --name influxdb-sink-jetson --namespace default
--tenant public
bin/pulsar-admin sinks delete --tenant public --namespace default --name
influxdb-sink-jetson
bin/pulsar-admin sinks create --archive
./connectors/pulsar-io-influxdb-2.8.0.nar --tenant public --namespace
default --name influxdb-sink-jetson --sink-config-file conf/influxcloud.yml
--inputs jetsoninflux --parallelism 1
bin/pulsar-admin sinks get --tenant public --namespace default --name
influxdb-sink-jetson
bin/pulsar-admin sinks status --tenant public --namespace default --name
influxdb-sink-jetson
https:/
/pulsar.apache.org/docs/en/io-influxdb-sink/

10. © 2021 InfluxData Inc. All Rights Reserved.
InfluxDB Telegraf MQTT
https:/
/www.influxdata.com/integration/mqtt-monitoring/
https:/
/github.com/streamnative/mop
MQTT on Pulsar (MoP)

11. © 2021 InfluxData Inc. All Rights Reserved.
InfluxDB Telegraf RabbitMQ
https:/
/www.influxdata.com/integration/mqtt-monitoring/
https:/
/github.com/streamnative/aop
AMQP on Pulsar (AoP)
https:/
/hub.streamnative.io/connectors/amqp-1-0-sink/
https:/
/hub.streamnative.io/connectors/amqp-1-0-source

12. streamnative.io
• Guaranteed delivery
• Data buffering
- Backpressure
- Pressure release
• Prioritized queuing
• Flow specific QoS
- Latency vs. throughput
- Loss tolerance
• Data provenance
• Supports push and pull
models
• Hundreds of processors
• Visual command and
control
• Over a 300 sources
• Flow templates
• Pluggable/multi-role
security
• Designed for extension
• Clustering
• Version Control
Why Apache NiFi?

13. © 2021 InfluxData Inc. All Rights Reserved.
InfluxDB via Apache NiFi
https:/
/www.influxdata.com/integration/mqtt-monitoring/
https:/
/github.com/streamnative/mop
https://github.com/influxdata/nifi-influxdb-bundle
https://www.influxdata.com/blog/building-a-data-stream-for-iot-with-nifi-and-influxdb/

14. streamnative.io
● Unified computing engine
● Batch processing is a special case of stream processing
● Stateful processing
● Massive Scalability
● Flink SQL for queries, inserts against Pulsar Topics
● Streaming Analytics
● Continuous SQL
● Continuous ETL
● Complex Event Processing
● Standard SQL Powered by Apache Calcite
Why Apache Flink?

15. streamnative.io
https://flink.apache.org/2019/05/03/pulsar-flink.html
https://github.com/streamnative/pulsar-flink
https://streamnative.io/en/blog/release/2021-04-20-flink-sql-on-st
reamnative-cloud
Flink + Pulsar

16. StreamNative Hub
StreamNative Cloud
Unified Batch and Stream COMPUTING
Batch
(Batch + Stream)
Unified Batch and Stream STORAGE
Offload
(Queuing + Streaming)
Apache Flink - Apache Pulsar - Apache NiFi <-> Devices <-> influxdb
Tiered Storage
Pulsar
---
KoP
---
MoP
---
Websocket
---
HTTP
Pulsar
Sink
Pulsar
Sink
Streaming
Edge Gateway
Protocols
End-to-End Streaming Edge App

17. DEMO
Using EdgeAI Devices

18. NVIDIA Device

19. Apache NiFi

20. Apache NiFi
Data to Enhance
IoT Stream

21. Apache NiFi

22. Apache NiFi
Influxdb properties
Controller properties

23. Apache NiFi

24. Apache NiFi

25. Apache NiFi

26. Apache Pulsar

27. StreamNative Cloud

28. StreamNative Cloud

29. StreamNative Cloud

30. StreamNative Cloud

31. StreamNative Flink SQL

32. StreamNative Flink SQL

33. StreamNative Flink SQL

34. StreamNative Flink SQL

35. Influx Data Explorer

36. Influx Data Explorer

37. Influx Data Explorer

38. Influx Data Explorer

39. Influx Data Explorer

40. Influx Data Explorer

41. Influx Data Explorer

42. Influx Data Explorer

43. ● https://github.com/tspannhw/FLiP-InfluxDB
● https://pulsar.apache.org/docs/en/io-influxdb-sink/
● https://pulsar.apache.org/docs/en/io-overview/
● https://github.com/tspannhw/Flip-solr
● https://github.com/tspannhw/Flip-transit
● https://github.com/tspannhw/Flip-iot
● https://www.datainmotion.dev/2020/10/flank-strea
ming-edgeai-on-new-nvidia.html
● https://github.com/tspannhw/minifi-jetson-nano
● https://github.com/tspannhw/SpeakerProfile/
● https://hub.streamnative.io/connectors/influxdb-sin
k/2.5.1/
● https://github.com/tspannhw/minifi-xaviernx/

44. Let’s Keep
in Touch!
Speaker Name
Speaker title
@PaasDev
https://www.linkedin.com/in/timothyspann
https://github.com/tspannhw

45. Questions?

46. Thank You