It makes a lot of sense to adopt virtualization in the data center. It’s especially relevant to everyone looking forward to p[timizing performance and reducing hardware costs. Virtualization offers many benefits, especially to the users looking forward to increasing resource availability and incorporating cloud capacity for big data. However, there are always many challenges along with benefits. Let’s discuss the biggest challenges of virtualizing a data center in this article.
It’s one of the biggest challenges faced by IT organizations. Virtualization works best when it includes everything and there are no silos of data storage or data management appliances. By limiting the scope of the virtual infrastructure, you automatically add costs and complexity.
The use of purpose-built devices that aren’t part of the virtual systems creates unnecessary data center complexity. Instead, companies and organizations may consider investing in local and remote backup and disaster recovery including storage, backup servers, and deduplication appliances. However, these CPUs do not function the way it’s intended when they do not run as part of a virtual data center. By using virtualized systems, you eliminate the unnecessary redundancy caused by repeated backups of the same data, which can result in big savings for your data project.
The Risk of Data Loss
In the modern enterprise world, it has become popular to use virtual machines or private clouds. Virtualization offers many advantages in the disaster recovery strategy. However, it’s still vulnerable to data loss caused by various internal and external factors. One may face the risk of data loss when placing several machines on a virtualized infrastructure rather than on individual servers. Whenever you face the risk of data loss, virtual infrastructure data recovery services help you recover data from nearly any virtual machine, system, or server.
You may face load-sharing issues when allocating resources in the virtualized data center. When multiple workloads are multiplexed using the VM hypervisor, IO streams start competing for available resources. This increases the IOPS needed for virtual workloads. To overcome this challenge, it’s recommended to overprovision the hardware to improve performance.
Virtual machines are portable, but there are certain constraints around that. Virtual machines are tied to data stores within virtual domains. Policies are configured at the element level and are linked to storage elements rather than virtual machines. It means data center managers should use a top-down approach to manage their data center resources.
Regardless of the challenges mentioned above, the benefits of adopting virtualization in data centers. Provided that IT specialists re-allocate network resources big data and other new applications, it’s invaluable to understand the limitations and virtues of virtualization.