App modernization for the AI era
Transform complex, costly systems into scalable, AI-ready applications with an architectural approach to modernization. This guide walks CIOs, CTOs, heads of engineering, and architecture leaders through the process of modernizing faster, reducing risk, and achieving real value from cloud and GenAI.
Why this guide?
Cloud costs, security risk, technical debt, and AI are converging and outdated architectures can’t keep up. Modernization is no longer a one-time project; it’s a continuous discipline.
This guide shows how to move beyond lift-and-shift and modernize with confidence.
vFunction has helped modernize hundreds of applications—from midsize systems to megalith-scale estates with millions of lines of code. The insights in this guide are derived directly from real-world modernization work with global enterprises, high-growth ISVs, and cloud partners.
What you’ll learn
A fast, practical look at the decisions that matter most:
- The forces accelerating modernization
Why architecture, not infrastructure, determines cloud value, resiliency, velocity, and AI readiness. - Common pitfalls to avoid
The traps that stall modernization, from “modernized legacy” lift-and-shift to unmanaged microservices sprawl. - Choosing the right approach
A clear, architectural take on the Five Rs: when to rehost, replatform, refactor, rearchitect, or replace. - How to build a modernization plan
How to assess applications, quantify technical debt, prioritize changes, and create a roadmap tied to business outcomes. - Real-world examples
How organizations in the finance, cybersecurity and travel modernized large business-critical systems faster and with less risk.
2025 is a tipping point. Download the guide today.
Complex, legacy applications are becoming increasingly expensive, more difficult to secure, and slower to evolve. GenAI only raises the bar. This guide shows you how to modernize fast and effectively before the gap becomes unmanageable.