Internet of Things

Announcing AMQ Streams: Apache Kafka on OpenShift

Announcing AMQ Streams: Apache Kafka on OpenShift

Hi all,

We are excited to announce a Developer Preview of Red Hat AMQ Streams, a new addition to Red Hat AMQ, focused on running Apache Kafka on OpenShift.

Apache Kafka is a leading real-time, distributed messaging platform for building data pipelines and streaming applications.

Using Kafka, applications can:

  • Publish and subscribe to streams of records.
  • Store streams of records.
  • Process records as they occur.

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IoT Developer Survey – Deadline March 5, 2018

IoT Developer Survey – Deadline March 5, 2018

We are seeking input from Internet of Things (#IoT) developers to better understand their needs for software and related tools. Whether you’re a hacker instrumenting your home with Raspberry Pi, or an IT developer working on Industrial IoT solutions, we want to know how you’re using open source technologies to build your IoT solution. The output from this survey will help the open source community focus on the resources most needed by IoT developers.

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ARM TechCon 2017 – Embedded, IoT, Networking, and more…

ARM TechCon 2017 – Embedded, IoT, Networking, and more…

Arm TechCon 2017 – Embedded, IoT, Networking and no Server focus

Last month was Arm TechCon, the annual developer conference showcasing offerings from Arm and its partners. Arm laid out its vision and strategy to achieving even greater integration in its processors and circumventing the slowing Moore’s law. As always, there was a bevy of new product announcements but overall, the show seemed to lack the energy of the last few years and especially the excitement of last year after Arm was acquired by Softbank. For example, there was no big vision keynote like the one last year from Masayoshi Son (Chairman & CEO of Softbank) who had talked of IoT enabling a Cambrian Explosion (which enabled thousands of new species on Earth), leading to 1 trillion IoT devices in 20 years.

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Tutorial: Building and consuming Virtual Microdatabase with JBoss Data Virtualization

Tutorial: Building and consuming Virtual Microdatabase with JBoss Data Virtualization

In the following blog post, we will learn how to create and access federated views from a various data source using JBoss Data Virtualization.

This lab is from the JBoss Developer Guidebook/ch5 Exposing Data as service book (40% with discount code JBDG40 offered from October 1-31).

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Jug Summer Camp 2017, Vert.x and collaborative DJ mix

Jug Summer Camp 2017, Vert.x and collaborative DJ mix

I had the pleasure to present “Eclipse Vert.x for Dj fun and for profit!” at the latest edition of the Jug Summer Camp in La Rochelle, France.

The Jug Summer Camp is a popular developer conference organized by Serli in western France, gathering regional attendees as well as speakers and participants from other French Java user groups.

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Using Agile Integration for IoT

Using Agile Integration for IoT

In architecting end-to-end Internet of Things (IoT) solutions, one of the biggest challenges is how to integrate IoT data with data streams from enterprise systems and external sources. Traditionally, businesses have used an enterprise service bus (ESB) and service-oriented architecture (SOA) to integrate and connect different systems and applications. However, this integration approach, due to its complexity and time-consuming implementation cycle, is not suitable for the rapidly moving needs of digital business imperatives like IoT. Given IoT’s adaptive nature, agile integration should be considered.

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Visualizing Smog Sensor Data with the help of Vert.x, Prometheus, and Grafana

Visualizing Smog Sensor Data with the help of Vert.x, Prometheus, and Grafana

Air pollution is a major problem in many cities around the globe. Some people in Stuttgart, Germany have developed cheap smog sensors that people can install on their balconies and other convenient places and then report data to a central site. I have written about that on OpenSource.com. The data is sent to a central server, from where it is visualized on a map. At the time of writing the above article, there was no way of seeing how the value has changed over time. Meanwhile, there is a visualization of the last 24 hours available on the map.

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