Master of Your Virtual IT Universe: Trust but Verify at Any Scale

A Never Ending IT Journey around Optimizing, Automating and Reporting on Your Virtual Data Center

Optimization

Optimization is a skill that requires a clear end-goal in mind. Optimization focuses on understanding the interactions of the IT ecosystem, the behavior of the application stack, and the interdependencies of systems inside and outside their sphere of influence in order to deliver success in business objectives.

 

If one were to look at optimization from a theoretical perspective, each instantiation of optimization would be a mathematical equation with multi-variables. Think multivariate calculus as an IT pro tries to find the maxima as other variables change with respect to one another.

 

Excerpted from Skillz To Master Your Virtual Universe SOAR Framework

 

Optimization in the virtual data center spans the virtual data center health across resource utilization and saturation while encompassing resource capacity planning and resource elasticity. Utilization, saturation, and errors play key roles in the optimization skill. The key question is: what needs to be optimize in the virtual data center?

 

Resources scalability

Similar to other IT disciplines, optimization in the virtual environment boils down to optimizing resources i.e. do more with less. This oftentimes produces an over-commitment of resources and the eventual contention issues that follow the saturated state. If the contention persists over an extended period of time or comes too fast and too furious, errors usually crop up. And that’s when the “no-fun” time begins.

 

Resource optimization starts with tuning compute (vCPUs), memory (vRAM), network and storage. It extends to the application and its tunable properties through the hypervisor to the host and cluster.

 

Sub-optimal scale

 

vCPU and vRAM penalties manifests in saturation and errors, which lead to slow application performance and tickets being opened. There are definite costs to oversizing and undersizing virtual machines (VMs). Optimization seeks to find the fine line with respect to the entire virtual data center environment.

 

To optimize compute cycles, look for vCPU utilization and their counters as well processor queue length. For instance, in VMware, the CPU counters to examine are: %USED, %RDY and %CSTP. %USED shows how much time the VM spent executing CPU cycles on the physical CPU. %RDY defines the percentage of time a VM wanted to execute but had to wait to be scheduled by the VMKernel. %CSTP is the percentage of time that a SMP VM was ready to run but incurred delay because of co-vCPU scheduling contention. The performance counters in Microsoft are System\Processor Queue Length, Process\% Processor Time, Processor\%Processor Time and Thread\% Processor Time.

 

To optimize memory, look for memory swapping, guest level paging and overall memory utilization. For VMware, the counters are SWP/s and SWW/s while for Microsoft, the counter is pages/s. For Linux VMs, leverage vmstat and the swap counters si and so, swap in and swap out respectively.

 

Of course, a virtualization maestro needs to factor in hypervisor kernel optimization/reclamation techniques as well as the application stack and the layout of their virtual data center infrastructure into their optimization process. 

 

This post is a shortened version of the eventual eBook chapter. For a longer treatment, stay tuned for the eBook. Next week, I will cover automation in the virtual data center.