On-premises, one advantage I find particularly appealing is the ability to create policies for automatic CPU and memory scaling based on demand.
IBM Turbonomic provides automated data center management and optimizes cloud operations, leading to significant cost savings, notably in Azure. It automates VM sizing across ESXi hosts, delivers notifications on cluster utilization, and integrates AI for intelligent automation. Reports and monitoring need improvement, with limited integration for customized apps. The licensing model can raise costs, and upgrades are complex, requiring new setups. Despite this, it remains a strong tool for resource management.
