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Stefan Bocutiu
@stepib
London Apache Kafka Meetup, Feb 2018
End to end topologies on Apache Kafka 

An IoT use case CONNECT ANALYSE REACT
About Today
Intros
IoT
High Level Architecture
Build the Pipeline
Q&A
Hi! It’s Stefan!

@stepib

https://github.com/stheppi
CONNECT ANALYSE REACT
Streaming Data Processing & Integration

KAFKA - KUBERNETES
EVOLVESCALEBUILDIoT initiative challenges
★ 94% face challenges collecting and analysing IoT data
★ 26+ Billion devices by 2020, Gartner
More Data, More Complexity
★ 2.500.000 trillion bytes produced daily
REAL TIME DATA INGESTION + IMMEDIATE QUERIES = 

ACTIONABLE / TIMELY INSIGHTS
IoT Data Flows
IoT data flow
store datastream & process datasensor data
IoT data flow
store datastream & process datasensor data
E T L
InfluxDBsensor data
MQTT
InfluxDB 

Connector
LENSES SQL
PROCESSOR
KAFKA 

CONNECT
KAFKA 

CONNECT
MQTT 

Connector
KAFKA STREAMS
InfluxDBsensor data
MQTT
InfluxDB 

Connector
LENSES SQL
PROCESSOR
KAFKA 

CONNECT
KAFKA 

CONNECT
MQTT 

Connector
KAFKA STREAMS
Synthetic Data
With Moquette

1 Broker, 

data generate
sensor data
InfluxDB Docker
®
IoT &
High Volumes, N devices

& irregular intervals
Real Time Analytics 

& Microservices
Unlimited streams of data, async transfers

Producers & Consumers decoupled operation
Kafka Streams API

Processing and analysing data in motion
Multiple sources of data 

& long term storeage
Kafka Connect API, 

move data with pluggable reusable & scalable connectors
An open source streaming framework
with messaging semantics where records are key-value pairs.
LENSES BOX

For Kafka Development
Single docker image with all services
Growing list of examples & synthetic data generators.
Stream Reactor 25+ connectors
Kafka CLI autocomplete.
Rest and WebSocket endpoints
Redux JS Client
Testing Libraries
FREE!
All you need to start working with Apache Kafka ecosystem
MQTT Source connector

• Message Queueing Telemetry Transport messaging protocol
• Optimised for connected devices and M2M protocol
• Low bandwidth, high-latency, unreliable networks
• Plain or SSL connections
• Kafka Connect Query Language
INSERT INTO kafka_topic
SELECT * FROM /mqtt_source_topic
[WITHCONVERTER=`myclass`]
MQTT
Distributed, Fault tolerant, scalable
No code required
CLI / UI / Monitor
KCQL Support
Multiple Distributions
• Process data in motion with Lenses SQL
• Create & Deploy Lenses SQL Processors
• Native Kafka & Kubernetes Support Scalability
• Visual Topology
• Monitor and manage processors via LENSES
Process & Analyse
Data in motion
InfluxDB Sink connector

• AVRO & JSON Support
• Error handling ( Noop, Retry, Throw)
• Field selection & field alias
• Multiple inserts supported
• Kafka Connect Query Language
• MEASUREMENTS, KCQL: INSERTS
• TAGS, KCQL: WITHTAG
• TIMESTAMPS, KCQL: WITHTIMESTAMP
• DURATION
Distributed, Fault tolerant, scalable
No code required
CLI / UI / Monitor
KCQL Support
Multiple Distributions
INSERT INTO sensorMeasure 

SELECT * FROM sensor_data_avg 

WITHTAG (id, poweredBy=Lenses)
Distributed, Fault tolerant, scalable
No code required
CLI / UI / Monitor
KCQL Support
Multiple Distributions
InfluxDB Sink connector

• Timestamp nanosecond
• KCQL
• No filter support
• No function support
• Throughput involves domain knowlege
• Kafka Connect rebalances
visual data flow
Visual and Interactive Topology

for a 360 view of your data
End-To-End Topology Management

Visualise your Kafka-based data flows

in real time
Wrap it up!
CONNECT
ANALYSE
REACT
Real Time, IoT pipelines in minutes!
MQTT
Contact us
www.landoop.com
info@landoop.com
Twitter @LandoopLtd
Github github.com/landoop
Gitter https://gitter.im/Landoop
Slack https://launchpass.com/landoop-community
Thank you!

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MQTT. Kafka. InfluxDB. SQL. IoT Harmony. #tutorial by Stefan Bocutiu

  • 1. Stefan Bocutiu @stepib London Apache Kafka Meetup, Feb 2018 End to end topologies on Apache Kafka 
 An IoT use case CONNECT ANALYSE REACT
  • 2. About Today Intros IoT High Level Architecture Build the Pipeline Q&A
  • 3. Hi! It’s Stefan!
 @stepib
 https://github.com/stheppi CONNECT ANALYSE REACT Streaming Data Processing & Integration
 KAFKA - KUBERNETES
  • 4. EVOLVESCALEBUILDIoT initiative challenges ★ 94% face challenges collecting and analysing IoT data ★ 26+ Billion devices by 2020, Gartner More Data, More Complexity ★ 2.500.000 trillion bytes produced daily REAL TIME DATA INGESTION + IMMEDIATE QUERIES = 
 ACTIONABLE / TIMELY INSIGHTS IoT Data Flows
  • 5. IoT data flow store datastream & process datasensor data
  • 6. IoT data flow store datastream & process datasensor data E T L
  • 7. InfluxDBsensor data MQTT InfluxDB 
 Connector LENSES SQL PROCESSOR KAFKA 
 CONNECT KAFKA 
 CONNECT MQTT 
 Connector KAFKA STREAMS
  • 8. InfluxDBsensor data MQTT InfluxDB 
 Connector LENSES SQL PROCESSOR KAFKA 
 CONNECT KAFKA 
 CONNECT MQTT 
 Connector KAFKA STREAMS Synthetic Data With Moquette
 1 Broker, 
 data generate sensor data InfluxDB Docker
  • 9. ® IoT & High Volumes, N devices
 & irregular intervals Real Time Analytics 
 & Microservices Unlimited streams of data, async transfers
 Producers & Consumers decoupled operation Kafka Streams API
 Processing and analysing data in motion Multiple sources of data 
 & long term storeage Kafka Connect API, 
 move data with pluggable reusable & scalable connectors An open source streaming framework with messaging semantics where records are key-value pairs.
  • 10. LENSES BOX
 For Kafka Development Single docker image with all services Growing list of examples & synthetic data generators. Stream Reactor 25+ connectors Kafka CLI autocomplete. Rest and WebSocket endpoints Redux JS Client Testing Libraries FREE! All you need to start working with Apache Kafka ecosystem
  • 11. MQTT Source connector
 • Message Queueing Telemetry Transport messaging protocol • Optimised for connected devices and M2M protocol • Low bandwidth, high-latency, unreliable networks • Plain or SSL connections • Kafka Connect Query Language INSERT INTO kafka_topic SELECT * FROM /mqtt_source_topic [WITHCONVERTER=`myclass`] MQTT Distributed, Fault tolerant, scalable No code required CLI / UI / Monitor KCQL Support Multiple Distributions
  • 12. • Process data in motion with Lenses SQL • Create & Deploy Lenses SQL Processors • Native Kafka & Kubernetes Support Scalability • Visual Topology • Monitor and manage processors via LENSES Process & Analyse Data in motion
  • 13. InfluxDB Sink connector
 • AVRO & JSON Support • Error handling ( Noop, Retry, Throw) • Field selection & field alias • Multiple inserts supported • Kafka Connect Query Language • MEASUREMENTS, KCQL: INSERTS • TAGS, KCQL: WITHTAG • TIMESTAMPS, KCQL: WITHTIMESTAMP • DURATION Distributed, Fault tolerant, scalable No code required CLI / UI / Monitor KCQL Support Multiple Distributions INSERT INTO sensorMeasure 
 SELECT * FROM sensor_data_avg 
 WITHTAG (id, poweredBy=Lenses)
  • 14. Distributed, Fault tolerant, scalable No code required CLI / UI / Monitor KCQL Support Multiple Distributions InfluxDB Sink connector
 • Timestamp nanosecond • KCQL • No filter support • No function support • Throughput involves domain knowlege • Kafka Connect rebalances
  • 15. visual data flow Visual and Interactive Topology
 for a 360 view of your data End-To-End Topology Management
 Visualise your Kafka-based data flows
 in real time
  • 16. Wrap it up! CONNECT ANALYSE REACT Real Time, IoT pipelines in minutes! MQTT
  • 17. Contact us www.landoop.com info@landoop.com Twitter @LandoopLtd Github github.com/landoop Gitter https://gitter.im/Landoop Slack https://launchpass.com/landoop-community Thank you!