Post Overview

  • Adaptable IoT

    On May 24, 2017 I gave a short partner session at Techorama, a technology event in Belgium for both developers and IT Pros. You can find the slides on SlideShare: Adaptable IoT from Geert Baeke Since it was a short session and a short slide deck, this post provides a bit more background information. First,… Read more

  • IoT Hub Device Twin and MQTT

    When you connect to IoT Hub with MQTT directly, you need to connect with a ClientId, username and password. Those three values need to be set according to Azure IoT Hub specificiations: ClientId: use the IoT Hub deviceId Username: use {iothubhostname}/{deviceId}/api-version=2016-11-14 Password: use a SAS token When you connect with MQTT, you will notice it… Read more

  • IoT Hub and Azure Time Series Insights

    Azure Time Series Insights is a new service that makes it very easy to store and visualize time series data. In this blog post, we will create a dashboard that looks like the one below (click to enlarge): The dashboard has four sections: Query1: a heat map of events per device; in this case there… Read more

  • Communication between microservices in Kubernetes with Go Micro

    In this post, we continue the story we started with two earlier posts: Getting started with Kubernetes on Azure Microservices on Kubernetes: a simple example in Go In the previous post, I described a very simple service written with the help of Go Micro. It exposes an RPC call Get that retrieves a device from a… Read more

  • Microservices on Kubernetes: a simple example in Go

    In the previous post, Getting started with Kubernetes on Azure, we talked about creating a Kubernetes cluster and deploying a couple of services. There are basically two services: Data: a service that exposes an endpoint to pick up data for an IoT device; you call it with http://service_endpoint:8080/data/devicename Device: a service that can be used… Read more

  • Getting started with Kubernetes on Azure

    As you may or may not know, at Xylos we have developed an IoT platform to support sensor networks of any kind. The back-end components are microservices running as containers on Rancher, a powerful and easy to use container orchestration tool. In the meantime, we are constantly evaluating other ways of orchestrating containers and naturally,… Read more