Welcome to an evening of interesting case studies with a focus on data and security in IoT in collaboration with Forefront Consulting.
Processing IoT Data from End to End with MQTT and Apache Kafka – Mic Hussey, Confluent
This session discusses end-to-end use cases such as connected cars, smart home or healthcare sensors, where you integrate Internet of Things (IoT) devices with enterprise IT using open source technologies and standards. MQTT is a lightweight messaging protocol for IoT. However, MQTT is not built for high scalability, extended storage or easy integration to legacy systems. Apache Kafka is a highly scalable distributed streaming platform, which ingests, stores, processes and forwards high volumes of data from thousands of IoT devices.
This session discusses the Apache Kafka open source ecosystem as a streaming platform to process IoT data. See a live demo of how MQTT brokers like Mosquitto or RabbitMQ integrate with Kafka, and how you can even integrate MQTT clients to Kafka without MQTT Broker. Learn how to analyse the IoT data either natively on Kafka with Kafka Streams/KSQL or on an external big data cluster like Spark, Flink or Elasticsearch leveraging Kafka Connect.
Bio: Mic Hussey is a Senior Systems Engineer at Confluent. After gaining his PhD in Civil Engineering, Mic has spent 20 years working as an Architect and Solutions Consultant with messaging and event processing technologies.
Kafka and IoT for the retail business – Gustav Norbäcker
MQTT is becoming a standard data protocol for how IoT-devices communicates. It's lightweight and easy to use. But what about high scalability and longer term storage? And what happens when we leverage this setup with Kafka, that is much more than just a regular message broker?
In this talk, we'll take a look at some interesting cases with IoT-devices and Kafka and how this setup could revolutionize the retail store experience.
Bio: Gustav is a senior integration architect with extensive experience from banking and retail applications. In recent years he has specialized in event streaming solutions based on Kafka and applications such as payments, sensor data and fraud detection. Prior to this, Gustav has worked with application modernization and Continuous Delivery for many years, including development process automation and software defined infrastructure.
Azure Sphere – Security and Data acquisition in IoT - Peter D Lundgren
Security, scalability and time to market are vital factors when launching new connected devices and services. Azure Sphere targets all of these. Peter will demonstrate the components of Azure Sphere, where they fit in to the development of new IoT devices and how to acquire sensor data to the cloud with it.
Bio: Peter has been working with embedded systems in industrial applications, consumer products and automotive applications through his carreer that spans over almost 20 years. He has been working with companies like Atlas Copco, Xylem Water Solutions and Leica Geosystems and many more.
Drinks and snacks generously provided by Forefront Consulting.