Inside CloudPhysics, you’ll work with cards. Each one visualizes insights through charts and graphs, provides clear recommendations, and enables interactive exploration through slidebars, filters, and simply drilling down for more detail. They can be viewed, shared, added to a personal dashboard, and published to members of your team. Click through this Card Glossary to learn more about selected cards.
- Card Editions
- Use Cases
- Basic Analytics
- Other Analytics
- Storage Analytics
- Infrastructure Health
- Infrastructure Inventory
- Performance Optimization
- Public Cloud Migration
- Storage Optimization
- Capacity Planning
- Change Management
- Risk Management
Cost Calculator for Google Cloud Platform
Match workloads to global GCP sites and instance types quickly—or apply your own exact workload size to a custom instance type.
Cost Calculator for On-Prem IT
Capture granular utilization metrics across VMs, hosts, clusters, storage, and other resources.
Cloud Cost Calculator for AWS
Use this hybrid cloud cost calculator to find the best instance types to fit your real VMs and model the cost to run them on AWS.
Cloud Cost Calculator for Azure
Use CloudPhysics cost calculator for Azure to instantly model the cost to run your VMs on Azure.
VM Rightsizing Card
View analytics on a per-VM basis to identify rightsizing opportunities across your environment.
Aggregated Power Usage Card
Host CPU utilization compares to host power draw in watts for the whole data center; see power and utilization spikes at a glance.
Aggregated Infrastructure Performance Card
Allows you to quickly see hosts that have spikes or have dropped in performance over the past 24 hours.
Host License Summary Card
Quickly quantify your total license consumption across hosts by vSphere Editions and Version.
See the make, model, and configuration of every host across all your monitored data centers from a single dashboard.
VM I/O Contention
Provides insights into disk I/O contention happening on individual virtual machines.
Network I/O Control
Align configurations with VMware best practices to avoid bottlenecks during times of network contention
Which VM disks are contributing the most to datastore contention on which datastores across what metrics?