Official News from Microsoft’s Information Platform
Machine Learning Blog
At this week’s Microsoft Management Summit conference (MMS), we are discussing how we are taking virtualization beyond OS and Infrastructure, with SQL Server as a key workload and an important element of a Private Cloud Platform. And why wouldn’t customers virtualize SQL Server with Hyper-V and System Center? SQL Server is a core component of any virtualized environment and together with Hyper-V, delivers enhanced virtualization manageability through System Center, lowers database TCO, and provides a single point of contact for the service and support of the full Microsoft “stack.” But don’t take my word for it – check out these examples that are being highlighted at MMS this week:
· Target Corporation, (video and case study), a “Mega” customer from the Hyper-V Cloud Accelerate program, and their broad, 15,000+ VM deployment of Hyper-V and System Center to virtualize and manage key business critical workloads including SQL Server.
· 3rd party “break the box” performance testing results from Enterprise Strategy Group (ESG), which includes deep technical guidance resources, and published best practice guidance for SQL Server, SharePoint, and Exchange.
· Download the Stocktrader application that was shown in today’s MMS keynote demonstrating how high-scale applications can be optimized in private cloud environments. The demo can be found at https://azurestocktrader.cloudapp.net and all related source code can be downloaded at http://msdn.microsoft.com/stocktrader.
We are working with customers every day to provide guidance on what workloads to virtualize on SQL Server and Hyper-V. For more information, please download our recently published whitepaper, Hyper-V is the Best Solution for SQL Server. For additional information, please visit our Consolidation and Virtualization Page. Go virtualize your database!
Comments in this blog are open and monitored for each post for a period of one week after the posting date. If you have a specific question about a blog post that is older than one week, please submit your question via our Twitter handle @SQLServer