The major improvement recommended for Nutanix Prism is more multi-cloud cost optimization. It shows performance and usage but is limited in detailed cross-cloud cost analysis. Improvement is needed for deeper FinOps-style ML insights that compare costs between on-premise, AWS, Azure, etc. Enhancements for the current mobile version of Prism are necessary as its functions are limited. Full mobile native control with real-time alerts and AI suggestions are required for one-click actions. Better integration with third-party tools and predictive maintenance for hardware is needed; currently, the focus is on VM and storage, not hardware life cycle. Predictions for node-level hardware failures or SSD wear-out, fan sensor alerts in advance are essential improvements, as is AI-based security threat detection focusing on unusual login patterns such as ransomware behavior or privilege escalations.
