Three best practices when moving from ARM templates to Bicep files

In previous articles, we’ve been working on deploying solutions using Bicep, the Domain Specific Language (DSL) for deploying Azure resources declaratively. This article will review three best practices you can adopt when transitioning from ARM templates into Bicep files. While there’s some familiar syntax in ARM templates and Bicep, I strongly recommend you check the … Read more

💪Deploying Progress Sitefinity CMS in Azure using Bicep | by Dave R – Microsoft Azure MVP☁️ | CodeX | Oct, 2021

Progress Sitefinity is a modern CMS in a PaaS model that delivers intuitive web content management for business professionals, a robust CMS development environment, and a rich end-user experience. This article will review how we can deploy this platform in Azure using Bicep, the new domain-specific language (DSL) that uses declarative syntax to deploy Azure … Read more

💪Creating an Azure Machine Learning Workspace and Datastores using Bicep | by Dave R – Microsoft Azure MVP☁️ | CodeX | Oct, 2021

You leverage Machine Learning in Azure as a cloud service for accelerating and managing the machine learning project lifecycle. In previous articles, I referred to the core components of the Azure Machine Learning service: Workspace: This is the core component. Check how you can create an Azure Machine Learning Workspace. Managed resources: These are Azure … Read more

💪Using Bicep to create workspace resources and get started with Azure Machine Learning | by Dave R – Microsoft Azure MVP☁️ | CodeX | Oct, 2021

Azure Machine Learning is a cloud service for accelerating and managing the machine learning project lifecycle. In Azure, you can create a model using the Machine Learning Service or use a model from an Open Source platform like TensorFlow or Pytorch. If you’re implementing Machine Learning(ML) Operations within your organization to bring ML models to … Read more

Create an Azure Machine Learning Compute Instance using Azure Bicep Oct, 2021

Azure Machine Learning is a cloud service for accelerating and managing the machine learning project lifecycle. The image below shows a high-level architecture of Azure Machine Learning and the components included in the workspace: Once you have a Workspace deployed in your Azure subscription, you can start working on your own Azure Machine Learning Service, … Read more