In today’s data-driven world, companies are increasingly looking to the cloud to reduce their infrastructure and administrative costs and provide the on-demand scalability to match their customers’ ever-changing requirementswithout sacrificing security, reliability, or cost. Customers who choose Azure for their SQL Server workloads may initially opt for a straightforward « lift and shift » to virtual machines (VMs)a great first step, but where do you go from there? Now more than ever, I get questions from customers asking for my advice on subjects ranging from squeezing more performance out of VMs to moving workloads to fully managed database services with near-limitless scalability
