Cloud computing is vital for business for a variety of reasons, including large-scale data storage and analytics, delivering a web-based service, expanding infrastructure, and disaster recovery.
Deploy a basic .NET C# core bot created using Bot Framework SDK to Azure. We will use Visual Studio for deploying the bot to Azure. This is one way of deployment.
The Google adapter supports connecting to Actions on Google (the conversations webhook) or via DialogFlow. It is recommended to use Actions on Google if possible.
Connect Microsoft Bot Framework Azure Bot to Google Assistant Action as a channel. We will use Actions SDK and DialogFlow Adapter for Bot Builder v4 .NET SDK.
Web Automation Testing of your Azure Bot connected to Webchat using Directline channel using Selenium Java and chrome Web Driver in Eclipse IDE.
Delete a pipeline in Azure DevOps by following these simple steps. Azure Pipeline is a cloud service that is used to build and test code project automatically.
Deploy a basic python bot created using Bot Framework SDK to Azure. We will deploy an Echo that we created in our last blog using Python.
In this post, we will get the user profile using the MS Flow. To start with, create an Instant cloud flow in Power Automate and add a new action.
Create an Azure Web App resource. This resource can be used to deploy your web applications. Azure Web Apps is a cloud computing based platform for hosting websites.