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Kelly Anderson joins Scott Hanselman to discuss Azure Security Center, which offers built-in security management and threat protection for your cloud workloads. Azure Security Center helps you find & fix vulnerabilities, aids in blocking malicious access and alerts you when your resources are under attack.  For more information: Azure Security Center documentation  Azure Security blog 

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Christina is back (and apologies for the late upload, that is 100% Christina’s fault), bringing you the lastest dev news, including: [00:56] Microsoft Build Registration is open [01:10] Windows Developer Awards 2018 voting is open now [01:20] Azure Developer Tour [01:55] VM Serial Console access in Azure [02:29] Microsoft Will Invest $5B in IoT [03:15]

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In this 4 part series of setting up a Kubernetes cluster with Azure Container Service we explore Azure CLI, Azure Resource Manager, and Terraform. This is a first part of the series on setting up a Kubernetes cluster with Azure Container Service using different tools, like Azure CLI, Azure Resource Manager and Terraform. In this

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Metaparticle is an experimental, cloud-native development environment for democratizing and simplifying the development of reliable distributed applications. It uses a code-first approach, so developers can describe the composite nature of their application with easy to apply patterns and practices to annotate their existing code. For more information, see: Metaparticle Metaparticle.io on GitHub Metaparticle tutorials Create a

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In the final part of the series on exploring Azure Container Instances and Azure Web App for Containers you will learn when it can be beneficial to use Azure Container Registry. Azure Container Registry as an option for storing and managing container images. Blog article covering the series: http://lenadroid.github.io/posts/azure-container-web-app-deploying-scala.html Follow Lena on Twitter: https://twitter.com/lenadroid Find

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This episode of the AI Show is the fourth (final) episode in a series talking about the Azure ML Services. The new Azure Machine Learning Services provide an integrated, end-to-end data science experience. It enables data scientists to prepare data, develop experiments, and deploy models at cloud scale. In this episode, you will learn to

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