Crafting an automation strategy that gives back
A comprehensive collection of articles, videos and more, hand-picked by our editors
How should I automate VM resource allocation?
By submitting your personal information, you agree that TechTarget and its partners may contact you regarding relevant content, products and special offers.
Manual resource provisioning is often a time-consuming and error-prone process. To mitigate the problems that crop up, such as VM performance degradation, many admins turn to automated provisioning techniques.
Hypervisor features such as Dynamic Memory, memory ballooning and transparent page sharing make up part of the automation technique list. These techniques aim to identify unused memory within a VM that can be reclaimed and allocated for other VMs to use.
VMware Distributed Resource Scheduler (DRS) also enables automation. The tool tweaks VM resources and shuffles workloads between servers for optimization based on established IT rules and policies.
In general, automating VM resource allocation allows administrators to focus their time and efforts on more strategic projects. Automation should never be an excuse to avoid management tasks such as workload performance monitoring or load balancing. These practices often provide the basis for rules and policies needed to drive automation. IT professionals must evaluate changing trends to make appropriate changes to allocation rules.
Further reading on automation tools
Examining the automation tools on the virtualization market
How automation tools can help your job security
VM provisioning with new automation tools
Regardless of how you allocate computing resources to a VM, it's important to employ prudent and practical judgment. Don't attempt exact resource allocation. Instead, provide extra memory or CPU capacity; that leeway can accommodate unexpected spikes in resource demand. You should also use common sense when consolidating servers. A fully utilized server cannot accommodate failover workloads from other systems, and may not even have enough resources to adjust for shortages. Provisioning spare capacity will prevent workload disruptions.
Related Q&A from Stephen J. Bigelow
Cleanly divided and straightforward applications are good candidates for a container-based deployment, whereas complex applications pose more ...continue reading
Assessing the impact of containers on application workloads can be extremely challenging, partially because of how quickly containers are spun up and...continue reading
There are many tools that help with container orchestration, but it's important to review all the features before choosing a platform to make sure it...continue reading
Have a question for an expert?
Please add a title for your question
Get answers from a TechTarget expert on whatever's puzzling you.