In the first article of the series we learned about the concepts, terminology, technologies involved, installing Jenkins, creating ASP.NET Core application and continuous integration of Asp.Net Core application using Jenkins via two approaches i.e. pipeline approach and free style project approach. In this article we’ll publish the ASP.Net core application to Azure App Service and Configure Jenkins on Azure before we move on to next steps.
In this article, we’ll focus on Azure Active Directory and Service Principal and integrate Jenkins with Azure Service Principal before we move on to CI/CD of ASP.NET Core application on Azure using Jenkins Azure Pipeline.
This article gives a walkthrough of Face classification application which performs face detection, identification, grouping and finding look alike faces.
In this section, we’ll focus on face identification and check the capabilities of Face API to identify the faces of the persons. In this section, we’ll see what all services we can write to perform face identification. We’ll test the services using Postman and in the next section, we’ll walk through a live face identification application.
In the last article on learning Azure Face API Cognitive service, we learned how to setup Azure account, create Face API on Azure portal and test the services created. In this article we’ll explore the Face API ADK and do some code. Please follow the first part before moving on to this one.
This article series is a complete end to end tutorial that will explain the concept of face recognition and face detection using modern AI based Azure cognitive service i.e. Azure’s Face API service.
Kubernetes not only benefits development team in application deployment but also is a boon for the DevOps team that helps in monitoring and error handling. Kubernetes offers a layer of abstraction where the DevOps do not have to worry about keeping an eye upon the individual applications rather they manage and supervise Kubernetes and other related infrastructure.
This article is the continuation of the three series article where we are trying to learn and get hands-on with Azure Kubernetes Services. In the last article, we created an ASP.NET Core application and containerized it with Docker. We created the local image of the application and tested it locally. In this article we’ll deploy that image to local Kubernetes cluster.
In this article, we’ll demonstrate how to orchestrate the deployment and scaling of an entire ASP.NET Core application using Docker and Azure Kubernetes Services.