Cloud Migration Readiness are cloud migration products that realize the agility, scale, and cost benefits of the cloud, while reducing the risks of cloud migration by understanding in advance how your workloads will run – and how much they will cost – once migrated to the cloud.
Visualize cloud performance and cost - before migrating
Cloud Migration Readiness are cloud migration products that realize the agility, scale, and cost benefits of the cloud, while reducing the risks of cloud migration by understanding in advance how your workloads will run – and how much they will cost – once migrated to the cloud.
Benefit from our workload expertise
Drive successful cloud migrations by leveraging Virtana's decades of experience in assessing environments and modeling workloads.
Review your apps
Discover the performance of your cloud applications and check your SLAs with Cloud Migration Readiness
Predict costs
Confirm how much it will cost to run your applications in the cloud
Choose the right cloud
Understand which cloud service provider best fits your applications
Reduce the risk of migration to the cloud
Validate your migration plans with workload intelligence
Plan everything in advance
With Cloud Migration Renewability, we'll help you risk your migration to the cloud by confirming the suitability of targeted applications based on your on-premises performance SLAs, dependencies, cloud performance requirements, and estimated cost – all before any migration. You will know:
Which workloads to migrate
Which cloud provider to use
How to reduce migration time
What are the optimal settings
How to pre-test workload performance in the cloud
How to tell if applications are running as expected in the cloud
What is the Cloud Migration Readiness process?
Understand the project
Confirm migration objectives, scope, and approach, and detail application requirements with Virtana's VirtualWisdom.
Instrument target workloads or applications
Discover the characteristics of the application workload
Identify dependencies between compute, network, and storage
Deliver a target workload inventory, application dependency maps, and a baseline assessment
Create accurate representations of workload needs
Leverage machine learning to distill large amounts of workload data into representative, synthetic groups of workloads.
Subset of synthetic groups per CPU, memory, network, and storage
Identify and adjust candidate cloud settings
Deliver workload profiles, affinity groups, synthetic workloads, and candidate cloud configurations and costs
Combine workloads with appropriate cloud configurations
Test representative workloads in cloud-specific configurations to cost-effectively select channels and verify performance.
Choose a candidate cloud configuration
Reproduce synthetic workloads
Adjust the candidate setting
Check workload performance
Delivered workload cloud synthetic performance report
Update candidate cloud settings and costs
Confirm that everything is working as expected
Use the power of Virtana's CloudWisdom to observe migrated workloads in the cloud and identify unforeseen performance or capacity issues.
Monitor migrated workloads
Compare to local performance
Recommend additional adjustments as needed
System Requirements:
CPU: 1.8 GHz dual core processor
RAM: 2 GB
HDD/SSD: 50 GB of free space on main drive
Operating system: Microsoft Windows 8 32-bit, Microsoft Windows 7 32-bit, and Microsoft Windows Vista 32-bit
Resolution: 1024×768
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