Issue link: https://insights.oneneck.com/i/1170972
commodity hardware comes lower acquisition costs. With the ability to scale linearly in bite-size chunks, companies can get the beginnings of a consumption-based data center equipment acquisition model that enables closer pay-as-you-go growth than traditional data center architectural models allow. As your environment needs to grow and as users demand new services, you can easily grow by adding new hyper- converged systems. Scale Agility implies some level of predictability in how workloads will func- tion. Public cloud provides this capability. For those wishing to deploy a private cloud environment, these needs can be met by leveraging hyperconvergence's inherent ability to scale linearly. In other words, you scale all resources simultaneously, including compute, storage, and networking in small increments to large scale. In this way, you avoid potential resource constraint issues that can come from trying to manually adjust individual resources and you begin to achieve some of the economic benefits that have made public cloud a desirable option. Scaling the data center shouldn't result in scaling the complexity. In order to attain the full breadth of economic benefits that go with cloud, you have to make sure that the environment is very easy to manage or, at the very least, that management is efficient. This means that you need to automate what can be automated and try to reduce the number of consoles that it takes to get things done. With hyperconverged infrastructure, management efficiency—even at scale—is a core feature of the solution. You're able to manage all of the elements included in the product from a single console; to apply a breadth of consolidated policies to VMs; and leverage robust APIs for orchestration and automation. H Y P E R C O N v E R G E D I N f R A S T R U C T U R E I N A H Y B R I D C L O U D W O R L D 7 3