Evolve Cloud Services helps organizations maximize the value of AWS by optimizing cloud environments, accelerating migrations, modernizing applications, and building a foundation for AI readiness.
Assess: Expert insights into your infrastructure, licensing, modernization opportunities, and migration strategy
Migrate: Accelerate your migration to AWS with proven strategies that minimize risk, simplify complex workloads, and create a clear roadmap for successful adoption. Modernize: Prepare your organization for generative AI by modernizing applications, optimizing data and cloud infrastructure, and building a secure, scalable foundation that enables intelligent automation and future innovation.
Modernize: Build what’s next on AWS with AI-ready applications, optimized data, and a secure, scalable foundation for continuous innovation.
Licensing Intelligence Built In
Empower™ is Evolve Cloud Services’ proprietary assessment and analytics platform. It integrates Microsoft licensing analysis (including current BYOL rules) directly with infrastructure modeling. This unified approach delivers accurate total cost of ownership insights and actionable recommendations that carry through migration and modernization.
software licensing costs vs. all other cloud infrastructure combined
average reduction in Windows Server cores requiring licensing
of assessments result in fully license-compliant BYOL environments
additional compute optimization identified beyond standard rightsizing tools
AWS and Evolve worked with Hirevue to kick off the modernization effort with an on-site build-a-thon at Hirevue’s headquarters, which allowed the technical teams to jointly solve technical challenges to reduce risk and validate architectural designs. The overall effort was broken into two projects: one to move the T2O .NET stack to EKS Linux containers, and the second to migrate the databases to Amazon Aurora. This allowed Hirevue to begin their FedRAMP certification only six months after the build-a-thon, with the move to Aurora PostgreSQL with Babelfish as a “fast follow”, and initial databases moving to production in early 2026.
ExxonMobil’s experience shows that a structured, data-driven approach to cloud optimization can deliver real savings across compute, storage, licensing, and database workloads. By combining AWS OLA insights with internal validation and a commitment to ongoing rightsizing, ExxonMobil turned a one-time assessment into a repeatable optimization practice.
