Nth Generation and
Hewlett Packard Enterprise
have paired to offer a secure:
HYBRID CLOUD ASSESSMENT:
for Virtualized Environments
Powered by HPE CloudPhysics
Quickly identify and collect detailed data about your datacenter workloads, to produce optimized compute and storage configurations that can better meet your performance, capacity, and trending demands.
Understand WHY and HOW FAST you’re running out of space.
Reveal COST SAVING opportunities for your virtual infrastructure.
MODERNIZE, SIMPLIFY, AND REDUCE COST in hardware and licenses.
Learn WHAT SOLUTIONS make the most sense for your organization.
Identify the RIGHT MIX of on-premise vs public cloud.
Maximizing your Hybrid Cloud means:
Reduction in cost and time provisioning
Increase in efficiency and time to market
Which means a net revenue increase, competitive edge, and priceless value for your organization!
Reduce the risk of compute workload and storage-related failures and performance issues
Quick reporting of shared storage analysis, VM guest tools, cluster health, and aggregate power consumption
Provide innovative analytics to make better data-driven decisions and lower costs of infrastructure
Shorten time to resolution of datastore or VM i/o contention, and allocation of resource problems
Reclaim wasted storage space and more optimal rightsizing of VM compute (vCPU, vRAM) allocations
Provide accurate data direct from vCenter that will allow Nth Generation to make further recommendations
How does this work?
Nth Generation will be utilizing a new, innovative, trusted HPE data analytics engine, HPE CloudPhysics, that runs within a SaaS platform where you can monitor your VMware infrastructure for a short assessment period.
During this time, you will have access to the unique analytics UI with VM right-sizing recommendations.
This visibility empowers you to:
Find datastores by hardware vendor and model. Find performance bottlenecks by datastore and associated hardware.
Ascertain capacity and usage trends by datastore and by VM-tagged subset reporting.
Quickly quantify storage utilization and performance for each datastore to focus on hosts and VMs generating the greatest impact on the storage subsystem. These same metrics can be used to scope and scale hardware upgrades and replacements within your environment.
Identify inefficiencies in hardware that can be upgraded or replaced.
Experience our non-disruptive, patented workload tracing to simulate workloads on alternative storage platforms and conduct remote POCs — eliminating the need to conduct the POC on-premise and any needed onsite systems.
Take the data further and utilize the capacity output to strategize placement or storage migration plans essential for new workloads – based on over-commits, snapshots, and thin/thick provisioned capacity.
Shared storage summary report
Workload optimization and hybrid cloud cost comparison