Tag · 5 posts
#docker
From MQTT to InfluxDB with Dapr
In a previous post, we looked at using the Dapr InfluxDB component to write data to InfluxDB Cloud. In this post, we will take a look at reading data from an MQTT topic and storing it in InfluxDB. We will use Dapr 0.10, which includes both components. To get up to speed with Dapr, please…
cloudRunning a GoCV application in a container
In earlier posts (like here and here) I mentioned GoCV. GoCV allows you to use the popular OpenCV library from your Go programs. To avoid installing OpenCV and having to compile it from source, a container that runs your GoCV app can be beneficial. This post provides information about doing just that. The following GitHub…
aiRecognizing images with Azure Machine Learning and the ONNX ResNet50v2 model
Featured image from: https://medium.com/comet-app/review-of-deep-learning-algorithms-for-object-detection-c1f3d437b852 In a previous post, I discussed the creation of a container image that uses the ResNet50v2 model for image classification. If you want to perform tasks such as localization or segmentation, there are other models that serve that purpose. The image was built with GPU support. Adding GPU support was pretty…
aiDraft: a simpler way to deploy to Kubernetes during development
If you work with containers and work with Kubernetes, Draft makes it easier to deploy your code while you are in the earlier development stages. You use Draft while you are working on your code but before you commit it to version control. The idea is simple: You have some code written in something like…
apiIoT Hub Scaling
When you work with Azure IoT Hub, it is not always easy to tell what will happen when you reach the limits of IoT Hub and what to do when you reach those limits. As a reminder, recall that the scale of IoT Hub is defined by its tier and the number of units in…
azure