Gain complete virtual infrastructure capacity lifecycle management with Foglight Capacity Director for Foglight for Virtualization, and get deep insight into your environment, including the availability and estimated time left for CPU, memory, storage, and IOPs. Leverage historical trends to better forecast resource requirements for clusters, hosts, and workloads – and proactively predict and budget for capital expenditures. Optimize resource utilization and reduce operational expenses by rebalancing the distribution of clusters and workloads. And model your infrastructure changes before deployment to avoid risking bottlenecks and performance issues or hitting capacity limits.
Calculate the remaining capacity and time for CPU, memory, storage, and IOPs. See which clusters can accommodate additional VMs, and determine how many additional resources will fit. Forecast the number of servers that will be needed in the future based upon your organic rate of growth or on planned future changes.
Model and manage infrastructure changes - add, move, or remove clusters, hosts, and VMs- before deployment. Visualize the impact of future workload changes, deployments and decommissioned VMs.
Automatically or manually rebalance clusters and workloads for optimal VM distribution, to improve performance and save on costs.
View your currently available resources, and track and forecast resource consumption using real-time and historical data to identify potential bottlenecks and take actions to remediate issues.
Extend and expand your insight into overall capacity with Foglight for Storage Management. Get deep insight into your underlying storage and determine whether VM performance issues are originating in the host, fabric, or storage array. See how storage capacity is impacting VM performance, and analyze consumption patterns to estimate when available capacity will be depleted, so you can proactively plan for new disk purchases.
Visualize, analyze and optimize your virtual infrastructure
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