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.
In this article, we’ll discuss how to create a real-time chatbot using Google’s Dialogflow API and integrate the same with Slack. The reader of the article does not need to have prior knowledge of bot creation as the article will demonstrate the bot creation and deployment step by step using explanatory pictures.
Get Hands-on with Chat-bots. Learn to create your own chat-bot. This book makes you familiar with the concept of the chatbot. It focuses on creating a bot using Amazon’s Lex service and getting the bot deployed on Facebook messenger for live chatting.
This article of getting accustomed to serverless functions will help a developer to learn what Azure functions are, how to create an Azure function from Visual Studio, publish and test the function on Azure. The article will also teach how to debug a published Azure function from Visual Studio.
Learn to create Microservices in ASP.NET Core. The term microservices portrays a software development style that has grown from contemporary trends to set up practices those are meant to increase the speed and efficiency of developing and managing software solutions at scale.