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Pairing socks with ksqlDB,
Kafka and Kafka Connect
linkedin.com/in/simonaubury @SimonAubury
github.com/saubury/socksort
I am Simon Aubury
Principal Data Engineer @ ThoughtWorks / Sydney
I am here because I love streaming
Hello!
2
@SimonAubury
Event Driven sock sorting
Pairing socks with Kafka
Can I arrange my sock drawer with
ksqlDB, Kafka and Kafka Connect?
3
github.com/saubury/socksort
@SimonAubury 4
Events are everywhere
Event-driven architecture is an
architecture paradigm promoting the
production, detection, consumption of
and reaction to events.
◉ Object detection is a stream of events
5
@SimonAubury
Events are very messy
6
What I think
will happen
What actually
happens
@SimonAubury
Let’s start at the finish
◉ Hold a sock in front of camera
◉ Stuff happens involving Kafka
◉ ksqlDB displays the location of
the other sock
7
Warning!
Some non-Kafka stuff ahead ...
8
@SimonAubury
DeepLens &
MQTT BrokerSock
ksqlDB Server
Stream
Processing
Kafka
Connect
Kafka
Sock Match
Found
@SimonAubury
Deep learning video camera AWS Deeplens
AWS Deeplens Hardware
◉ A “deep-learning enabled video camera”.
○ 4MP video camera,
○ Intel Atom Processor
○ 8GB RAM
○ Runs Ubuntu.
◉ Plenty of hardware to help sort my socks.
10
@SimonAubury
Many photos of socks
Supervised learning image
classification
◉ Requires training data
◉ Prepare a set of training images
◉ I need to take a lot of photos of
socks
11
@SimonAubury
Model Training
Image classification of socks using transfer learning mode.
◉ Use Amazon Sagemaker image classification algorithm in
transfer learning
◉ Deploy a temporary classifier to test the inference function
◉ Test a few demonstration images can be correctly classified
12
@SimonAubury
Inference Lambda Function
◉ Run all images captured by the camera through
the classification model.
○ Review a live camera feed within as web-browser
○ OpenCV adds text overlaid on the image.
◉ Write to a MQTT topic
13
@SimonAubury
Inference Lambda Function
14https://github.com/saubury/socksort/blob/master/30-deeplens-greengrass-lambda/deeplens_inference.py
@SimonAubury
What is MQTT?
◉ MQTT is lightweight TCP/IP protocol
○ Small footprint
○ Low power
◉ MQTT acts more like a key/value store
○ Whereas Kafka is a complete streaming platform.
15
Back to safety
16
@SimonAubury
DeepLens &
MQTT BrokerSock
ksqlDB Server
Stream
Processing
Kafka
Connect
Kafka
Sock Match
Found
@SimonAubury
Kafka connect
Kafka Connect is a framework for streaming data
between Apache Kafka and other data systems
○ Kafka connect sources – from something into Kafka
○ Kafka connect sinks – from Kafka into something
.
18
MQTT driver
MQTT
source
@SimonAubury
MQTT to Kafka with Kafka Connect
19
◉ Save config to file
◉ Manage the secrets
◉ Find the end point of
connect server
◉ Fire up curl/postman to
submit config
◉ … do more stuff to check
@SimonAubury
KSQL to ksqlDB
◉ KSQL - build event streaming
applications “with SQL”
◉ ksqlDB – KSQL with
○ Push and Pull queries
○ Connector management
20
@SimonAubury
Kafka Connect with ksqlDB
ksqlDB now has
commands so you can
directly setup and
control Kafka Connect.
21
@SimonAubury
MQTT to Kafka with Kafka Connect
by using ksqlDB
22
ksqlDB command
credentials.properties
@SimonAubury
Do we have any socks in Kafka?
We can check incoming
MQTT messages are
landing in Kafka by
querying the Kafka topic
kafka-console-consumer
23
kafka-console-consumer --bootstrap-server
localhost:9092 --topic data_mqtt --from-
beginning
@SimonAubury
Do we have any socks in Kafka?
We can check
incoming MQTT
messages are landing
in Kafka by querying
the Kafka topic with
KSQL
24
@SimonAubury
DeepLens &
MQTT BrokerSock
ksqlDB Server
Stream
Processing
Kafka
Connect
Kafka
Sock Match
Found
@SimonAubury
Create a stream with ksqlDB
Goal: create a
stream for our
Kafka topic
containing JSON
26
@SimonAubury
Ghost socks
Image classifier
identifies 3-4 images
each second.
27
@SimonAubury
Stream processing with ksqlDB
Goal: find similar
messages within a
windows of time
28
@SimonAubury
Window Hopping with ksqlDB
Goal: find 4 or
more identical
socks in a rolling 5
second window
29
@SimonAubury
Staring at the wall with ksqlDB
Goal: eliminate
pictures of the wall
30
@SimonAubury
Pairing socks with ksqlDB
Goal: find pairs of
identical socks
31
@SimonAubury
Place your screenshot here
Demo
32
What did I learn?
33
@SimonAubury
What did I learn?
◉ Object detection is a stream of events
◉ Events are very messy
○ Stream processing doesn’t need to be
◉ Kafka connect is cool and easy way to integrate systems
○ Even easier to manage with ksqlDB
◉ IoT architecture with Kafka is really scalable
◉ Sock sorting does not make you interesting at parties
34
Any questions ?
linkedin.com/in/simonaubury
github.com/saubury/socksort
Presentation template by SlidesCarnival
Thanks!
35
@SimonAubury

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Pairing socks with ksqlDB, Kafka and Kafka Connect