Overview
Cloudelligent's Optimization and Licensing Assessment (OLA) is designed for customers seeking to move their existing workloads to AWS. We help you evaluate the licensing requirements and costs associated with your applications and develop strategies for migrating to optimize your workloads and reduce the risk of noncompliance.
With our extensive migration expertise, Cloudelligent ensures you can make well-informed decisions to find the optimal AWS environment, maximize your cost savings and performance, and complete your migration successfully.
Our OLA is structured in four stages, with clear deliverables at each stage:
Strategic Consultation: Our experts collaborate with your team to understand your business objectives and identify the scope of your migration.
Discovery: We gather detailed information on your current infrastructure, software licenses, and workloads to establish a comprehensive understanding of your environment.
Analysis: Our team analyzes the collected data, comparing the costs and infrastructure requirements for perpetuating licenses or renewing them through AWS. This includes evaluating the advantages and tradeoffs of dedicated vs. multi-tenant hosting.
OLA Report: We provide a final report with tailored recommendations for AWS services, cost optimization strategies, and a model for the total cost of ownership when fully migrated to AWS.
With Cloudelligent, you can confidently navigate your cloud journey with tailored solutions that align with your business goals and ensure optimal cloud efficiency.
Getting Started
Click 'Continue' to connect with one of our business representatives to discuss your specific needs and optimize your AWS Cloud experience.
Highlights
- Detailed assessment of licensing requirements for various software & comprehensive cost and infrastructure analysis
- Strategies for perpetuating, renewing, and modernizing licenses
- Tailored recommendations for AWS services and workload optimization
Details
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Website: https://cloudelligent.com/ Email: sales@cloudelligent.com