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Brian Blanchard and Daniel Feeney join Sarah Lean to discuss some of the financial considerations you should be thinking about when moving to the cloud; including how to build a business case, how to build accurate cost projections, and how to integrate cost optimization models. ✅ Resources: Develop a cloud adoption strategy- Documentation Cloud economics 

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Using Networks Insights to view health, metrics, alerts, and signals from all network monitoring tools in one place, Dalan Mendonca shows Scott Hanselman that there’s no need to scramble across tools to troubleshoot your network issues in Azure. [0:00:00]– Intro to Network Insights[0:04:30]– Network health tab[0:08:48]– Connectivity tab[0:10:14]– Traffic tab[0:10:49]– Discussion [0:12:58]– Wrap-up Azure Monitor

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Brian Blanchard joins Sarah Lean to discuss how you can efficiently manage your cloud operations using the Cloud Adoption Framework. ✅ Resources: Cloud Adoption Framework Manage methodology [00:00] Introduction[01:00] How are cloud operations different from traditional and familiar IT ops?[02:23] What is the CCoE, and how does it fit in?[04:36] Can you share a customer story

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Brian Blanchard & Jeff Amels join Sarah Lean to discuss the technical considerations your organization should think about when building your cloud strategy.    ✅ Resources:  Cloud Adoption Framework Strategy Overview Cloud Economics  Cloud Adoption Framework ‘Strategy and Plan template’  [00:00] Introduction [00:58] What technical considerations should organizations consider for cloud strategy? [02:02] Are there benefits in

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Victoria Almazova joins David Blank-Edelman to explore the tools for DevSecOps in a CI/CD Pipeline on Azure. ✅ Resources: WAF Security pillar Azure Well-Architected Review Secure DevOps DevSecOps in Azure Secure DevOps Kit for Azure Secure Azure pipelines [00:00] Overview[01:09] Let’s review what we’ve learned about DevSecOps so far.[01:55] Why are we focusing only on

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Leveraging Kubernetes ​and Azure Arc to train ML Models ​across hybrid cloud. In this episode Seth talks with Saurya Das about this new Azure Machine Learning integration with Azure Arc – to enable Data Scientists to use existing kubernetes infrastructure on-premises or in multicloud to run machine learning.   Jump to: [00:48] What is Machine

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When organisations are embarking on their Cloud Adoption Journey one of the things that they need to establish is a landing zone, or environment where their servers, workloads, resources can live when hosted within Azure. It’s almost the equivalent to building out a new physical datacentre, you need things like network subnets, security roles, storage, etc

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