Break IT down: Five ways capacity management analytics address workload balancing issues

Written by Ken Christiance | June 8, 2018 | AI, Analytics, Automation

Most organizations today combat risk in virtualized infrastructure by significantly over-provisioning hardware. Excess capacity is a cost viewed as a necessity because of the complexity of these new environments. But this inefficiency can be avoided by optimizing workload placements and right-sizing virtual machine (VM) allocations to simultaneously combat both risk and capacity waste. Capacity Management more