Unlock business potential with Azure migration & modernization
The Azure Migration and Modernization Program (AMMP) is designed by Microsoft to help customers accelerate their cloud journey by connecting them with expert partners like Nous Infosystems. The program caters to the needs of ISVs and enterprises, regardless of where they are in their cloud journey, enabling them to move forward with confidence – from planning to execution.
Nous Infosystems is a Microsoft AI Cloud Partner with Advanced Specialization. To achieve this, our Azure modernization solution, technical expertise, and success stories have been audited by Microsoft and we satisfy Microsoft’s stringent requirements.
Accelerate Azure Migration and Modernization
- A customized workshop to define the best modernization path for your workloads
- Battle-tested Azure modernization solutions to move your applications faster and reliably along the chosen path
- Funding for a partial or full free migration to Azure*
*Approval for funding and the amount are subject to conditions
Cost Optimization Assessment
Gain a detailed view into the short-term and long-term economics of migration/modernization using Azure. Our experts will help you discover the various technical and financial flexibilities and efficiencies offered by Azure that cannot be matched with traditional on-premise IT workloads.
Already on Azure? Take our free 5-day cost optimization assessment that leverages the Microsoft Cloud Adoption Framework (CAF) to achieve a 30-40% reduction in costs for an unoptimized cloud environment.
AWS to Azure Migration
When migrating from AWS to Azure, assessing the economics plays a vital part in the decision. This assessment is usually a long, manual, and complex process, and requires a deep technical understanding of both AWS and Azure.
Nous A2Z™ for AWS to Azure migration will help you get through the complexities without having to worry about human error. The tools automated cloud economics assessment module will help you evaluate the economics of your migration and help you better select deployment models.