Red Hat Summit 2017 – Planning your IoT Labs


This year in Boston, MA you can attend the Red Hat Summit 2017, the event to get your updates on open source technologies and meet with all the experts you follow throughout the year.

It’s taking place from May 2-4 and is full of interesting sessions, keynotes, and labs.

This year I was part of the process of selecting the labs you are going to experience at Red Hat Summit and wanted to share here some to help you plan your hands-on time with IoT focused labs. These labs are for you to spend time with the experts who will teach you hands-on how to get the most from IoT using open technologies.

Each lab is a 2-hour session, so planning is essential to getting the most out of your days at Red Hat Summit.

As you might be struggling to find and plan your sessions together with some lab time, here is an overview of the labs you can find in the session catalog for exact room and times. Each entry includes the lab number, title, abstract, instructors and is linked to the session catalog entry:

L101851 – How to build a containerized IoT solution on OpenShift

In this hands-on lab, we’ll build an intelligent IoT gateway on Red Hat OpenShift Container Platform with Fuse integrating service and business rules to process sensor data in real time. On the back end, PostgreSQL will provide storage and Zeppelin will provide visualization. Each component of the demo will be running in a container and is using microservices. This cross-product solution offers great scalability, manageability, and security for IoT. You can start building the solution we’ll create in this lab right away in your own company.

Instructors: Ishu Verma, Andrew Block


L101852 – Building an edge-to-cloud IoT solution with commercial-grade OSS

Learn how to build an intelligent IoT gateway that can provide real-time intelligence at the edge. The build process will be automated using Ansible. Once the gateway is provisioned, we’ll put it into action by starting Red Hat Fuse and building and deploying the routing and business rules services. We’ll then start a sensor application that sends temperature data using MQTT to the broker, Red Hat JBoss A-MQ. These messages will be forwarded to the services that we started earlier. And finally, we’ll be creating the business rules to trigger the desired action when the sensor value reaches a threshold.

Instructors: Patrick Steiner, Ishu Verma


Get ready for hands-on with IoT throughout the week and hope to welcome you to one or more of the labs!

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