Category: Azure

Welcome to another Azure Content Spotlight! These articles are used to highlight items in Azure that could be more visible to the Azure community.

This weeks content spotlight is about Cognitive Service Containers, which is released in preview last week. There was a high demand for the flexibility to deploy AI applications in a variety of environments. By deploying Cognitive Services in containers, data can be analyzed close to where the actual data resides. And these containers can be deployed on on-premises environments as well, so customer data (e.g., the image or text that is being analyzed) is not sent to Microsoft.

For information and how to get started with Cognitive Service Containers, you can refer to the below links:

• Running Cognitive Service containers
• Bringing AI to the edge
• Getting started with Azure Cognitive Services in containers

 

-Sjoukje

Welcome to another Azure Content Spotlight! These articles are used to highlight items in Azure that could be more visible to the Azure community.

This weeks content spotlight is all for developers that want to get started with developing AI applications or more experienced AI developers that want expand their knowledge.

AI is a set of technologies that enable computers to assist and solve problems in a way that are similar to humans by perceiving, learning, and reasoning. Using the cloud and the Microsoft AI platform you can now infuse your applications with these intelligent capabilities. Microsoft offers an extensive set of services to build intelligent applications, like Azure Cognitive Services, Bot Framework and Azure Machine Learning. You can use different tooling, even open source technologies such as TensorFlow, PyTorch, or Jupyter and leverage the infrastructure capabilities that are part of Microsoft AI platform as well.

To get started or expand your knowledge, you can refer to the following resources:

• Download the free ebook: A Developer’s Guide to Building AI Applications
• Watch all the Ignite 2018 AI sessions
• Learn more about Azure AI
• Get started with Azure Cognitive Services

-Sjoukje

Welcome to another Azure Content Spotlight! These articles are used to highlight items in Azure that could be more visible to the Azure community.

This weeks content spotlight is about App migration to Azure. The Cloud is changing the way applications are architected. Instead of monoliths, applications are decomposed into smaller services. These services communicate with each other through APIs or using asynchronous messaging. They can scale horizontally, so new instances can be added and removed easily. Deployments must be automated and monitoring is critical for gaining insights into the applications. And this all can be realized without the need to bother about the underlying infrastructure.

This changing way of designing and architecting applications, introduces new architectural patterns and best practices for building apps on the Azure cloud platform. Below is a set of resources which can help software architects and developers gaining insights about the different services and resources Azure has to offer to compose your applications. It also provides different patterns and best practices on how to design your applications.

A couple of Build 2018 videos:

 

• App Modernization with Microsoft Azure : Build 2018
• Modernizing existing .NET applications with Windows Containers and Azure cloud : Build 2018 …

Some online resources:

• Azure Architecture Center
• Migrate to the Cloud
• Migration checklist when moving to Azure App Service
• Cloud Design Patterns
• Azure Reference Architectures

 

A free eBook:

• Cloud Application Architecture Guide

-Sjoukje