Introduction to cloud computing concepts

If you’re among the majority1 of companies that has trusted Windows Server and SQL Server to handle business-critical workloads on premises, you’re certainly not alone. Still, 90 percent of organizations are now deploying some or all of their workloads to the public cloud taking advantage of benefits like cost reduction and optimization, seamless scalability, agility and innovation, and the ability to stay secure and maintain resiliency across hybrid environments with Microsoft.

The radical shift brought on by the COVID-19 pandemic in 2020 changed the way we all work—further cementing the critical role IT departments play in keeping applications running, SQL Server is facilitating remote work and scaling on demand. This has even more enterprises pivoting toward the cloud. In fact, 68 percent of CIOs are now making cloud services more of a priority, with plans to reduce their mix of on-premises workloads from 59 percent to 35 percent over the next year.

A cloud that meets you where you are

No matter what path you take to the cloud, it’s vital to have industry-leading security, unique hybrid capabilities, broad compliance, and the most cost-effective cloud solutions for Windows Server and SQL Server 4 . It’s for these reasons 5 that 95 percent of Fortune 500 companies trust Azure for mission-critical workloads:

  • Unique hybrid capabilities designed and built to natively support hybrid environments seamlessly across onpremises, cloud and edge, for increased agility and rapid innovation.
  • Multiple layers of security across physical datacenters, operational best practices and engineering processes, and more than 3,500 cybersecurity professionals and US $1 billion invested annually to protect against, detect, and respond to threats.
  • Maximum value via Windows Server or SQL Server license investments, reservation pricing, and cost management tools.

Continuing to innovate

Microsoft continues to innovate on the design and optimization of purpose-built AI infrastructure, Boyd added. This includes working with computer hardware suppliers and datacenter equipment manufacturers to build from the ground up cloud computing infrastructure that provides the highest performance, highest scale and the most cost-effective solution possible.

This AI-optimized infrastructure is now standard throughout the Azure cloud computing fabric, which includes a portfolio of virtual machines, connected compute and storage resources optimized for AI workloads. Building this infrastructure unlocked the AI capabilities seen in offerings such as OpenAI’s ChatGPT and the new Microsoft Bing, according to Scott Guthrie, executive vice president of the Cloud and AI group at Microsoft.

Create innovative AI solutions

Discover Azure AI a portfolio of AI services designed for developers and data scientists. Take advantage of the decades of breakthrough research, responsible AI practices and flexibility that Azure AI offers to build and deploy your own AI solutions. Access high-quality vision, speech, language and decision-making AI models through simple API calls and create your own machine learning models with tools like Jupyter Notebooks, Visual Studio Code and open-source frameworks like TensorFlow and PyTorch.

To read full download the whitepaper:

Understanding Cloud Migration Strategies for Windows Server and SQL Server Customers

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