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Azure Container Apps – Simplifying Container Deployment Without the Kubernetes Complexity

Xebia

In August 2021, I was accepted to test and provide feedback on what was referred to as ‘Azure Worker Apps’, another Azure service Microsoft was developing to run containers. Fast forward, that service is now known as Azure Container Apps. This is where Azure Web Apps for Containers comes into play.

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Enterprise Migration | Part 2: Migrating Applications to Azure

QBurst

An IaC framework was developed to speed up deployment and an Azure Landing Zone was deployed during this phase. […] The post Enterprise Migration | Part 2: Migrating Applications to Azure appeared first on QBurst Blog.

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Microsoft releases Azure Migrate assessment tool for.NET applications

InfoWorld

Microsoft has unveiled AppCAT, an Azure Migrate tool intended to assist users in migrating their on-premises.NET applications to the company’s Azure cloud. To read this article in full, please click here

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Securing Azure Service Bus

Xebia

Let’s examine common security risks, understand the importance of data encryption and various robust authentication methods such as Azure AD and shared access signatures, explore strategies for network protection, and emphasize the value of logging for enhanced oversight. By default, Azure Service Bus supports TLS 1.2

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Modernizing Workloads with the Cloud: How to Improve Performance & Reduce Costs

By modernizing and shifting legacy workloads to the cloud, organizations are able to improve the performance and reliability of their applications while reducing infrastructure cost and management.

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Self-Guided Meditations With AI On Azure

Xebia

DALL-E, Azure Machine Learning and Azure AI Speech (formerly Cognitive Services) to create fresh daily content. So, I set out to make an application to spin up a fresh session every day and upload it to YouTube. I’m building this in an Azure Durable Function to deal with these long-running processes. No manual steps.

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Deploy a custom Docker image on Azure ML using a blue-green deployment with Python

Xebia

Introduction Azure Machine Learning (Azure ML) is a popular machine learning service. Azure ML provides a lot of predefined functionality for deploying machine learning model endpoints, which is great. Use the Azure ML Python SDK to configure and manage deployment to Azure ML. " azure-ai-ml=="1.13.0"

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