Virtualization problems: When good deployments go bad

Virtualization problems: When good deployments go bad

Virtualization problems still exist, even though the technology has become an important and reliable tool in many data centers. New deployments can easily run into virtualization problems without proper planning, practiced skill sets and careful management.

    Requires Free Membership to View

    When you register, my team of editors will also send you the latest expert resources covering all areas of server virtualization, such as platforms, architectures and strategies, server hardware, managing virtual environments, application issues and more.

    Margie Semilof, Editorial Director

    By submitting your registration information to SearchServerVirtualization.com you agree to receive email communications from TechTarget and TechTarget partners. We encourage you to read our Privacy Policy which contains important disclosures about how we collect and use your registration and other information. If you reside outside of the United States, by submitting this registration information you consent to having your personal data transferred to and processed in the United States. Your use of SearchServerVirtualization.com is governed by our Terms of Use. You may contact us at webmaster@TechTarget.com.

Upgrading or extending an existing virtual infrastructure can introduce performance and stability problems. Virtualization can even exacerbate the effects of an inevitable hardware fault.

Ultimately, the many advantages of virtualization must be weighed against the threat of potential problems. Let's look at the potential virtualization problems and examine some possible solutions.

The articles in this guide originally appeared in the Virtual Data Center e-zine.

How workload balancing prevents virtualization problems
With virtualization, there's always the temptation to load physical servers to 100% utilization. But overloaded servers can hurt application performance and impede failover efforts when disaster strikes. Proper workload balancing can eliminate these problems before they strike.

How to prevent data loss and downtime
Most virtualization problems lead to data loss, even if it's only temporary. Rigorous planning and testing before deployment can help prevent data loss, but sometimes that's not enough. High-availability technologies and disaster recovery strategies can provide an extra layer of protection to ensure against data loss and application downtime.

Curbing VM sprawl with server capacity planning
One of the most common virtualization problems is the uncontrolled proliferation of virtual machines (VMs), called VM sprawl. When VMs are running amok in your infrastructure, they drain processing power and take up valuable real estate on physical servers. Server capacity planning and virtualization lifecycle management are two proven ways to address VM sprawl.

Hardware compatibility issues lead to virtualization problems
An often-unforeseen problem with virtualization deployments is hardware compatibility. Even seemingly little things like USB drives can cause compatibility issues that will affect your entire infrastructure. Virtualization abstracts the OS and applications from hardware, and that means any hardware-dependent software can bring about problems.

This was first published in September 2010

Join the conversationComment

Share
Comments

    Results

    Contribute to the conversation

    All fields are required. Comments will appear at the bottom of the article.