The Case For... Virtualization with Netuitive SI for VMware

How Can You Trust the Performance of a Dynamic Virtualized Infrastructure to the Static Monitoring Tools of the Physical World?

The search for higher capacity utilization, greater system flexibility and lower operating cost has probably set you on the path to server virtualization. But be aware that allocating resources, managing performance and isolating problems in virtual environments is far more complex than with physical systems. Increasing your challenge is the speed at which entire systems — and problems — can be replicated and relocated.

These are only a few of the questions you’ll face in managing a virtualized infrastructure:

  • What is the optimum allocation of the resource pool?
  • What impact is any VM having on host server performance?
  • Can “badly behaving” VMs be readily identified?
  • How do you set baselines and thresholds for a continually changing, virtualized environment?
  • Where is the root cause of any perceived performance issues?

If that’s not daunting enough, consider that Gartner reports that 27% of IT executives have no confidence in their current performance management tools. Which means there’s one question you absolutely need to answer before going any further:

Can you trust the performance of a dynamic virtualized infrastructure to the manual monitoring tools of the physical world?

You need self-learning Netuitive SI for VMware.

Applying unique adaptive technologies based on advanced mathematics, Netuitive SI for VMware software self-learns the normal operating behavior and resource profiles of ESX servers and VMs – individually and in relation to one another and the overall resource pool. By continuously analyzing and correlating live streaming data from all monitored components, Netuitive automatically identifies any “badly behaving” VM impacting performance of the ESX server. Plus, Netuitive understands normal hourly, daily and seasonal performance variations, enabling it to forecast service problems up to two hours in advance.

Automate performance baselining and threshold administration

Problem: Manual Baselining and Thresholding are Humanly Possible
You cannot possibly set accurate and reliable performance monitoring thresholds for a virtual infrastructure. That’s because the elements in a virtual environment are so interdependent there is no way for you to understand the meaning and impact of their relationships to one another.

Solution: Automated Threshold Administration
Unlike conventional monitoring tools and processes you may be familiar with, Netuitive requires absolutely no manual rules, scripts or thresholds – and no agents to deploy. Instead, Netuitive software:

  • Fully automates the baselining and thresholding processes
  • Self-learns and continuously analyzes your environment’s normal behavior in real-time
  • Creates Adaptive Behavior Profiles for all ESX servers, guest VMs, and applications
  • Generates accurate and reliable performance thresholds – because you simply cannot

Enable otherwise impossible proactive system management

Problem: Responding to Issues that Develop at Warp Speed
Compounding the difficulty of maintaining performance in virtual environments is the speed at which problems can develop and spread. Since you can’t possibly know the interrelationships within your virtual infrastructure, you might respond to perceived problems by simply allocating or reallocating resources — especially since that requires almost no time or cost. But rather than solving problems, that only moves or exacerbates them.

Solution: Proactive Performance Management
Netuitive correlates resource behavior across and between the physical and virtual infrastructure, to maintain performance in ways that you could never do on your own.

  • Delivers robust system-wide visualization, enabling you to proactively manage system health
  • Learns and shows you the complex performance of each VM in the context of both its associated ESX server and the entire resource pool
  • Continuously adapts its understanding of your environment’s variable, normal operating behavior
  • Forecasts service problems up to two hours before they occur
  • Eliminates false alerts by 99%; issues only system-verified Trusted Alarms

Speed problem diagnosis and resolution

Problem: Slow, Difficult Problem Diagnosis
Especially in virtual environments, the root cause of poor performance in a particular server, application or resource can be impossible to find on your own. That’s because degradations are often the result of complex interactions of multiple components. And alerts resulting from ordinary static thresholds lack the context needed for quick and accurate problem diagnosis and resolution.

Solution: Diagnose and Solve Problems Faster
Netuitive speeds problem diagnosis and resolution and reduces mean time to repair.

  • Automatically — and accurately — identifies any “badly behaving” VM impacting the ESX server
  • Quickly isolates root causes
  • Describes problems and recommended solutions in plain English

All of this contextual, diagnostic, information comes to you in Netuitive Trusted Alarms.

Optimize allocation of the resource pool

Problem: Planning and Supporting an Effective VM Deployment
It takes optimum resource allocation to realize a virtualized infrastructure’s promise of higher capacity utilization, greater system flexibility and lower operating cost. Because those resources are highly interdependent, accurate allocation of the resource pool cannot be achieved through manual processes.

Solution: Accurate Resource Pool Allocation with Netuitive
As beneficial as Netuitive is for system performance once your VMware environment is operating, it is equally critical before your virtualized servers are deployed. The earlier in the process you put Netuitive to work, the greater its benefits.

  • Reduces uncertainty and risk – replacing guesswork with the precision of real-time analysis
  • Right-sizes virtual infrastructures
  • Optimizes resource allocation, speeds provisioning and simplifies capacity management
  • Reduces the time, staff and cost required for deployment and support

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