Kentico Cloud is a cloud-first CMS for digital agencies. We’re excited to announce that it is now available in the Azure Marketplace . This solution leverages Azure App Service to host the front end of your application reading the content from Kentico Cloud
The blog announces a new feature in IntelliJ Community Edition that enables the One-Click experience to run containerized Java applications on Azure.
Today, we announced the general availability of Azure App Service on Linux and Web App for Containers. Providing Linux support in Azure App Service is an important step towards our commitment to support variety of OSS stacks on the platform.
We released a new Maven Plugin for Azure App Service, you can deploy or redeploy Web apps to App Service Linux or Windows in one easy step.
Azure Application Insights provides powerful search capabilities to query and get insights from your telemetry data. Often, you may find yourself running the same queries repeatedly to validate whether your service is functioning properly or to find trends and anomalies. Wouldn’t it be nice to turn those repetitive queries into your own workflows so you can save time as well as turn those insights into actions?
How to migrate a ClearDB database in an Azure Web App to Azure Database for MySQL.
App Service domains (Preview) simplifies the life cycle of creating and managing a domain for Azure services leveraging Azure DNS. Azure DNS then provides reliable performant and secure option of hosting your domains.
Serverless is all the rage, now you can get in on the action using R! Azure Function supports a variety of languages (C#, F#, js, batch, PowerShell, Python, php and the list is growing). However R is not natively supported. In the following blog we describe how you can run R scripts on Azure Function using the R site extension.
Azure Application Insights is an application performance management (APM) platform which provides performance and diagnostic information about your running services and applications to help you…
Azure offers several ways of deploying a deep-learning model (e.g. CNTK): Windows Web App, Linux (Docker) Web App, and Azure Container Services (Docker). Both of the Docker methods are perhaps more…