![]() I’ve seen admins put the host OS on a smaller (and thus affordable) SSD and the guest OS on good old spinning HDDs. If the IT budget doesn’t let you go full-on SSD, then stick with hard disk drives (HDDs) all the way.īut make a choice. However, the fastest storage is not always within your budget. Yes, solid-state drives (SSDs) are a dream for virtualization workloads because of their high speed and ultra-low latencies. Making poor storage choices: spinning vs. But make sure the delta between the VM’s actual active memory utilization and the total memory you assigned is very small. Perhaps you can give the VM an extra 200 to 500 MB over the average just in case. For instance, if you’re provisioning VMs to support a small team of employees using only Windows 7, Microsoft Office, and maybe the odd line of business application, they’ll be fine with 2 to 4 GB of memory, as long as the users don’t do a lot of multitasking or work with larger files.Ĭompare system performance and usage over time by looking at performance monitors, application log files, and resource utilization (Task Manager can help). Instead, try to figure out how much memory the user or application environment requires. In reality, you shouldn’t give a VM more RAM than it really needs. ![]() You think, you can’t be too rich, too thin, or have too much RAM. The same principle goes for memory! You might think that giving your VMs an extra few gigabytes of memory means it never will run out of resources. Giving the VM more (virtual) RAM than it needs Here’s a good explainer if you want to dive a bit deeper. ![]() Third, there’s the dreaded aspect of CPU Ready Time: The more vCPUs you assign, the more likely it is for your VM to be in the “CPU ready” state, waiting for your real CPU to process all this workload. Then ask yourself, “Does this application really need two cores? Does it really use the CPU’s power all the time?” If the answer is no, then don’t give it any more than it needs. Install and test-drive the application or service you want to run virtualized on “real” hardware. Second, look at what you really need this VM to do. First of all, by giving every VM a huge number of virtual CPUs, you limit the number of VMs that the physical server can support. For example, you may bless each VM with two vCPU cores because of vague attitudes like “Hey, multitasking is important” or “Well, performance surely will be horrible with a single core-it ain’t 2003 anymore!” Even when the server is designed solely for virtualization purposes, it may not be necessary to give every VM more oomph than it really needs, specifically when it comes to CPU resources. You just gleefully unboxed your shiny new 32-core server rack equipped with near-infinite amounts of RAM. (My examples primarily use Windows but are equally applicable to virtualization on Linux.) No. Let’s identify the common mistakes and how to avoid them. Complexity always means an increased potential for errors, both in practical terms and mistakes at the conceptual level. Yet the Matryoshka doll principle of having something sit inside another thing (and maybe sit inside yet another thing, as with nested virtualization) makes some computing tasks more complex. On one front, virtualization makes your life easier. Virtualization is used on client PCs, servers, and clouds as well as in seemingly unrelated technologies such as gaming emulation, which is, in essence, just another form of virtualization. Making one system work on another system likely will always be a requirement in our industry. Although we often discuss virtualization as a new thing, the need for the technology is almost as old as computing itself, dating back to the 1960s.
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