You know that you don’t need to pay for AI services to get the job done, right? If you’re looking to run local AI models in your .NET applications, I’ve got just the thing for you. In this post, I walk you through how to set up and run local AI models using .NET, Docker, and Ollama. We’ll cover everything from installing the necessary tools to running your first model, and to building a simple application that uses these models. ...
Hello everyone, in today’s post I will show you the easiest and cleanest way to perform integration testing of your code with database dependencies with the help of docker and TestContainers. Unlike unit tests where you can use In-Memory or Mock the database calls, integration tests need to test the actual calls to the database, and using an empty, In-Memory, database will not represent the reality of what the system is doing, or perhaps your code is tightly coupled with specific database behaviors or relies on certain configurations that an In-Memory setup won’t capture accurately. For that, we will use docker to run a dockerized database image and perform our tests against it. And for that, we will use TestContainers. ...
SonarQube is a popular open-source platform for continuous code inspection that helps developers identify and fix coding issues, security vulnerabilities, and other bugs in their codebase. As someone who has worked on multiple software projects, I can attest to the importance of having a tool like SonarQube in your toolkit. It saves time and prevents headaches by catching issues early on rather than at the end of a project. Recently, I struggled with deploying the latest version of SonarQube on Azure App Service, so I created the repository mhdbouk/azure-sonarqube (github.com) to document my process and help others avoid the same pitfalls. In this blog post, I’ll share my experience with deploying SonarQube on Azure App Service and provide the repository for anyone who may find it useful. ...
If you’re looking for a simple and efficient way to deploy your application on Azure, you’re in the right place. In this blog post, I will guide you through the process of deploying an existing docker image on Azure using Bicep. It’s easier than you might think, and a lot more fun too! You can find all of the information discussed in this blog post in my GitHub repository, located at mhdbouk/libretranslate-bicep (github.com) ...
The .Net 7 release is bringing a lot of changes, and one of the most significant is the removal of the need for a Dockerfile. Container images are now a supported output type of the .NET SDK. You no longer need a separate Dockerfile to containerize your .NET applications. You can publish your application and it will be built into a container image. This is a significant improvement for .NET developers who want to containerize their applications. It will make it much easier to distribute and run your applications in the cloud. In this article, we’ll take a look at what this change means for you and your applications. ...