It is possible to create an Azure Data Explorer cluster using ARM or Bicep templates. The only thing lacking is the ability to integrate ADX dashboards into Azure DevOps enabling Continuous Integration / Continuous Delivery, or is it?
Automatically deploy (layered) deployments to Azure IoT hub
Automatically deploy (layered) deployments to Azure IoT hub using Infrastructure as code (IaC). Because it makes your IoT hub deployments repeatable and more consistent.
Setting up a IoT hub with Bicep
How to create an Azure IoT hub with Bicep. But what is Bicep anyway and why should we use it. In this article, I will explain about Bicep and we will create a simple Bicep example to deploy an IoT hub.
Deploy IoT Edge modules at scale with layered deployments
At some point in your IoT project, you will need to create or update the modules of the IoT edge devices. When more and more devices are added, it becomes impossible to deploy the configurations by hand. In this article I explain the different possibilities for automatic deployments and I will walk you through the steps.
Analyze data in Azure Data Explorer dashboards
Azure Data Explorer is a fast and powerful Azure service for analyzing real-time data. Let’s see how to create a dashboard and make it available for users who may not be familiar with Kusto.
Unexpected Azure Storage Account transactions caused by Azure Function BlobTrigger
Unexpected Azure Storage Account transactions caused by Azure Function BlobTrigger, how to identify the problem and how to solve it.
Cost reduction with Azure Automation Runbooks by removing Bastion
How to save costs with azure automation account runbooks. In this showcase we added an Azure Automation Runbook to remove the Bastion Service every night. This will reduce the costs up to almost 140 euro per month.
Azure Functions with Entity Framework
Entity Framework is known for its capability of object based development, maintainability and for reducing development time and cost. I added Entity Framework within an Azure Function App demo project.
Data quality in Azure Stream Analytics
High quality data is necessary to create reliable business insights, but how do you evaluate this for Azure Stream Analytics? In my latest article, I will explain how this can be done by creating test cases for Stream Analytics.
Test-driven database development
Test-driven development is a known approach in software development, where you write the tests first before you write your production code. Using this approach will result in writing better test coverage and better-quality code. Test-driven database development (TDDD) is a term that is less well known. But it is basically the same, only for database development.