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Products-Azure IoT Central

Empowering Windows Server Workloads with Azure IoT Central

Migrate Windows Server Workloads to Azure

With Windows Server 2025 now available, organizations can leverage Azure to migrate their Windows Server workloads seamlessly. By moving your business-critical workloads to Azure, you can benefit from hybrid cloud agility and advanced security features. Whether you choose to deploy on Azure, on-premises, or in a hybrid cloud environment with Azure Arc, Windows Server on Azure provides a trusted cloud platform for your operations.

Cost Optimization with Windows Server Virtual Machines

By deploying Windows Server virtual machines on Azure, you can reduce costs and optimize your monthly consumption pricing. Leveraging the Azure Hybrid Benefit discounted rate on your Windows Server and SQL Server licenses can lead to significant savings. Additionally, you can maximize your cost-efficiency by purchasing compute resources in advance with reservation pricing on Azure.

Frequently Asked Questions about Windows Server on Azure

1. Which on-premises Windows Server VMs can I migrate to Azure? 2. What if I'm not ready for a full migration to Azure? 3. How do I determine the best Windows VMs for my workload? 4. Can I transfer my existing Windows Server license to Azure? 5. Will Azure really save me money? 6. What should I do if I'm using an older version of Windows Server that has reached end of support? 7. How can I host a server on Azure? These FAQs address common queries about leveraging Windows Server on Azure.

Azure Migrate and Modernize for Windows Workloads

To streamline the process of migrating and modernizing Windows workloads on Azure, organizations can utilize Azure Migrate. This tool, powered by AI, assists in efficiently moving workloads to Azure, optimizing performance and cost savings. By embracing Azure's global infrastructure and modernization tools, businesses can enhance their operations and security while benefiting from cloud scalability.

Demystifying Cloud Computing with Microsoft Azure

Cloud Computing Defined

Cloud computing, as defined by Microsoft Azure, is the delivery of computing services over the internet to provide faster innovation, flexible resources, and economies of scale. This includes servers, storage, databases, networking, software, analytics, and intelligence. By leveraging cloud services, businesses can lower operating costs, run infrastructure more efficiently, and easily scale based on changing business needs. With pay-as-you-go models, organizations only pay for the cloud services they utilize, optimizing cost management.

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Unlock Cost Savings and Efficiency with Azure Spot Virtual Machines

Overview of Azure Spot Virtual Machines

Azure Spot Virtual Machines offer a unique opportunity to access unused Azure compute capacity at deep discounts. This innovative solution allows you to leverage low-cost compute resources for workloads that can handle interruptions and do not require immediate completion. Whether you are running development projects, testing environments, quality assurance tasks, advanced analytics, big data processing, machine learning, AI operations, batch jobs, or rendering and transcoding of multimedia content, Azure Spot Virtual Machines enable you to execute these tasks at a fraction of the usual cost.

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Empowering DevOps with Azure IoT Central

Unlocking the Power of Azure IoT Central for DevOps

Azure IoT Central, part of Microsoft's Azure cloud services, offers a comprehensive suite of tools and services designed to empower DevOps teams in planning smarter, collaborating better, and shipping faster. By leveraging Azure IoT Central, organizations can streamline their development processes, enhance collaboration, and accelerate time-to-market for their IoT solutions.

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Empowering Innovation with Azure AI Model Catalog

Discover and Evaluate AI Models

Azure AI Model Catalog offers a comprehensive toolkit to discover, evaluate, customize, and deploy AI models. By leveraging this platform, businesses can accelerate their innovation process by accessing popular models from renowned creators like Microsoft, OpenAI, Mistral, Meta, Stability AI, Core42, and Nixtla. This catalog provides a one-stop solution for organizations to find the right AI models without the hassle of searching or downloading from multiple sources.

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Azure Kubernetes Fleet Manager: Streamlining Multicluster Management with Microsoft Azure

Introduction to Azure Kubernetes Fleet Manager

Azure Kubernetes Fleet Manager is a powerful solution offered by Microsoft Azure that enables seamless management of Kubernetes clusters at scale. This tool is designed to address the complexities of multicluster scenarios for Azure Kubernetes Service (AKS) clusters, providing features like workload propagation, north-south load balancing, and upgrade orchestration across multiple clusters.

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