AWS Cloud Migration Assessment
Our AWS Cloud Migration Assessment is a comprehensive evaluation of your current infrastructure, applications, and data to determine the best cloud migration strategy for your business.
Your benefits
Data-Driven Decision Making
No-Cost No-Obligation Assessment
Powered by a Trusted Partnership
At Ingeno, we believe that successful cloud migrations start with the right partnerships. That’s why we’ve joined forces with industry leaders AWS and Ingram Micro to bring you an AWS Cloud Migration Assessment backed by unmatched expertise and experience.
Our process
Engagement Kick-Off
Align your cloud vision and set clear expectations
Discovery
Deep dive into your current environment and gather critical insights
Analysis & Assessment
Receive a detailed Cloud Readiness Assessment report with cost-benefit analysis and migration roadmap
A No-Risk, High-Reward Opportunity
We understand that your time and resources are valuable. That’s why our AWS Cloud Migration Assessment is designed to deliver maximum impact with minimal investment on your part.
- No Cost and No Obligation for you No Cost and No Obligation for you No Cost and No Obligation for you No Cost and No Obligation for you
- 2 1/2 hours of your time for work sessions with you
In return, you’ll receive actionable insights that can significantly reduce your compute and licensing costs, and help you make informed decisions about your cloud strategy. It’s a small time commitment for a potentially transformative outcome.
Optimization and Licensing Assessment (OLA)
As part of the process, our Optimization and Licensing Assessment (OLA) evaluates your license options for migrating your workloads to AWS. We address key questions such as:
- What are our migration options with current licenses?
- Is AWS licensing more expensive?
- Will we retain vendor support on AWS?
- Can we host customer databases in AWS?
- What should we do with existing hardware?
The OLA ensures you understand your licensing and total cost of ownership (TCO) before making final decisions.