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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

Azure 162
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Microsoft Adds Slew of Developer Tools to Azure

DevOps.com

At its Build 2023 conference this week, Microsoft announced general availability of an Azure Deployment Environment service that provides developers with a portal through which they can employ infrastructure-as-a-code (IaC) templates based on Terraform or Azure Resource Management files.

Azure 101
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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.

Azure 85
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Simplified Development With Azure DevOps

Dzone - DevOps

Several entrepreneurs have started off with a kickstart by speeding up their platform with Microsoft’s Azure DevOps. This article dives into the features and benefits of Azure DevOps. What Is Azure DevOps? The DevOps approach is also capable of enhancing team collaboration.

Azure 76
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Building a smarter Azure Kubernetes for developers

InfoWorld

With KubeCon Europe taking place this week, Microsoft has delivered a flurry of Azure Kubernetes announcements.

Azure 86
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Measuring Your Azure Carbon Footprint with the Sustainability API

Xebia

So, you want to start with green software on the Azure cloud by measuring your carbon footprint. Microsoft Azure’s Sustainability API can help organizations measure their carbon footprint to analyze and reduce it. enrollmentId : A unique identifier for a specific enrollment or account within Azure, comprising two GUIDs and a date.

Azure 130
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Azure AI Studio: A nearly complete toolbox for AI development

InfoWorld

On November 15, Microsoft announced Azure AI Studio , a new platform for generative AI application development, using OpenAI models such as GPT-4, as well as models from Microsoft Research, Meta, Hugging Face, and others. To read this article in full, please click here

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