This post was originally published on ZPE Systems
Data center scalability is the ability to increase or decrease workloads cost-effectively and without disrupting business operations. Scalable data centers make organizations agile, enabling them to support business growth, meet changing customer needs, and weather downturns without compromising quality. This blog describes various methods for achieving data center scalability before providing tips and best practices to make scalability easier and more cost-effective to implement.
How to achieve data center scalability
There are four primary ways to scale data center infrastructure, each of which has advantages and disadvantages.
4 Data center scaling methods Method Description Pros and Cons 1. Adding more servers Also known as scaling out or horizontal scaling, this involves adding more physical or virtual machines to the data center architecture. ✔ Can support and distribute more workloads
✔ Eliminates hardware constraints
✖ Deployment and replication take time
✖ Requires more rack space
✖ Higher upfront and operational costs
2. Virtualization Dividing physical hardware into multiple virtual machines (VMs) or virtual network functions (VNFs) to support more workloads per device. ✔ Supports faster provisioning
✔ Uses resources more efficiently
✔ Reduces
— Read the rest of this post, which was originally published on ZPE Systems.
