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Managing uptime and performance is critical to any environment. With virtualization, however, it changes the game significantly when you consider the increased complexities involved in managing the interdependencies between virtual machines (VMs) and the underlying physical infrastructure that supports them. As organizations become more dependent on virtualization, it’s becoming increasingly critical, and challenging, to manage it effectively and to ensure optimal uptime and availability.
As organizations mature in their use of virtualization, they encounter challenges along the way that are unique to virtualized environments. These challenges eventually disrupt many of the management techniques traditionally used. A reactive management approach typically only provides a temporary fix, which allows problems to resurface later. The challenge ensues because many organizations are simply unaware of the extent of the additional complexities virtualization introduces and why it makes management more complicated. Two examples of the complexities introduced by server virtualization are:
· Traditional infrastructure assigns specific hardware to specific applications, or ―share nothing,‖ providing exclusive use of resources (except maybe disk)
· Virtual infrastructure, in most cases, is share everything: shared resources across CPU, memory, network and disk
This technical brief explores the primary attributes of a solution that not only detects, diagnoses, and resolves performance bottlenecks in virtualized infrastructures quickly and efficiently, but also reduces risk and improves performance, uptime, and efficiency.