As applications grow over time and require more compute, memory, network or storage resources, scale up virtual machines dynamically and on the fly, without disrupting the application or requiring complex re-provisioning.
Enhance Testing and Troubleshooting with Cloned Production Virtual Machines Shorten time to resolution of critical issues and reduce their overall impact on the production environment with VMware-enabled testing and troubleshooting.
v Sphere ensures fair distribution of resources even with the most intensive workloads to achieve impressive aggregate throughput.
Rapidly Provision SQL Servers with Virtual Machine Templates On physical hardware, deploying a new SQL Server can take days or weeks to procure the hardware, install and configure the infrastructure, and install the associated applications and updates.
A recent TPC-E workload study demonstrated that in typical situations, virtual machines provide 90 percent to 98 percent of the native physical performance, even for larger 8 v CPU configurations.
Mutiple SQL Server virtual machines can be consolidated onto a shared ESXi host with minimal impact to individual virtual machines.
Preserve your existing SQL Server configurations when you consolidate SQL Server using v Sphere by doing a “Physical to Virtual” (P2V) migration.The copy can then be installed in a test environment for offline testing and troubleshooting.Share virtual machines with third parties such as consultants, other partners and vendors and eliminate the need to create a duplicate environment to reproduce problems.Consolidate multiple resource-heavy SQL Server virtual machines on a single host without compromising performance or scalability.v Sphere 5.0 delivers the best performance out-of-the-box thanks to key enhancements such as: VMware v Sphere 5.0 can match or exceed native performance for more than 99 percent of SQL instances.Eliminating repetitive operating system installation and patching tasks with virtual machine templates can speed deployment times.You can deploy new virtual machines with a core configuration in a matter of minutes, allowing rapid provisioning of applications into production.Scale Dynamically with CPU and Memory Hot-Add Databases are particularly difficult to size.Administrators are often forced to forecast capacity requirements for three to five years in the future and then translate that estimate into system specifications (CPU, memory, storage).IT departments have been undertaking database consolidation projects for many years, hoping to rein in the costs associated with rapidly increasing number and size of databases supporting a multitude of applications.Unfortunately, conventional database consolidation solutions are painful and require significant tradeoffs.