vFunction’s AWS Nod: GenAI Is Now Designing Unbreakable Cloud Systems

MENLO PARK, CA – December 01, 2025 – In the world of enterprise technology, partnerships and certifications are a constant drumbeat. Yet, some announcements carry a signal that cuts through the noise. vFunction, a firm specializing in application modernization, recently announced it has achieved the Amazon Web Services (AWS) Resilience Software Competency. On the surface, it’s a validation of technical prowess. But look deeper, and this isn't just about one company’s achievement; it's a powerful growth signal indicating a fundamental shift in how businesses must approach cloud architecture, with Generative AI moving from the creative department to the core of enterprise engineering.

For years, the promise of the cloud has been agility and scale. But as businesses have migrated their most critical systems—from banking platforms to insurance policy engines—the conversation has pivoted to a non-negotiable requirement: resilience. In an 'always on, always available' economy, downtime is not just an inconvenience; it's a direct threat to revenue, reputation, and customer trust. The challenge is that many of these critical systems are monolithic applications, vast and complex codebases that have grown over decades. Modernizing them is a Herculean task, often leading to what one industry leader called "analysis paralysis." This is the complex, high-stakes environment where a new class of tools, powered by AI, is beginning to make its mark.

From 'Big Ball of Mud' to Resilient by Design

The story of CDL, a leading UK insurtech, is a microcosm of the challenge facing thousands of enterprises. The company’s core platform, responsible for processing over a trillion transactions annually, had evolved into a monolithic “big ball of mud”—a sprawling, tightly coupled system where any change carried immense risk. This architectural complexity stifled innovation and made building a resilient, cloud-native foundation a daunting prospect.

This is a common narrative. Many legacy applications were not built for the distributed, failure-prone nature of the cloud. Their tangled dependencies mean a single fault can cascade, bringing the entire system down. The traditional path to modernization—manual analysis and refactoring—can take months or years, a timeline that modern business cycles simply cannot afford.

CDL’s experience highlights the emerging solution. By leveraging vFunction’s platform, which combines static and dynamic code analysis with AI, the company gained architectural clarity in a matter of days, not months. “vFunction provided deep visibility into the architecture and behavior of our most complex systems, allowing us to modernize intelligently and build a more resilient cloud-native foundation on AWS,” said Matthew Eisengruber, Head of Architecture at CDL. This visibility allowed them to identify logical service boundaries, simulate the extraction of components, and create a repeatable, AI-assisted workflow for modernization. The results were tangible: build times were halved and release cycles accelerated, all while de-risking the transformation of a mission-critical system.

Decoding the AWS Competency Signal

For executives and investors, understanding the significance of the AWS Resilience Competency is key. This isn't a participation trophy. The AWS Competency Program is a rigorous validation process designed to identify partners with deep technical expertise and proven customer success. Achieving this status in the “Resilience Design” category signals that AWS experts have vetted vFunction’s solution for its ability to help customers architect systems that can withstand failure from the ground up.

This validation is a crucial market signal in the cloud ecosystem. AWS operates on a shared responsibility model: AWS ensures the resilience of the cloud, but customers are responsible for resilience in the cloud. This competency program acts as a trusted guide, pointing enterprises toward solutions that can effectively manage their side of the bargain. It separates proven technologies from the marketing buzz, providing a layer of assurance for CIOs and CTOs making high-stakes decisions about their core infrastructure.

By awarding this competency, AWS is acknowledging a critical reality: true cloud resilience isn't achieved through infrastructure alone. It must be woven into the very fabric of the application’s architecture. As vFunction CEO Moti Rafalin stated, “By designing resilience into the architecture itself, organizations can adapt to constant change, prepare for unexpected failure, and recover quickly.” This proactive, design-led approach is a stark contrast to the reactive, incident-response posture that has historically dominated IT operations. It represents a strategic move from firefighting to fireproofing.

The GenAI Engine Modernizing the Cloud

The technology enabling this shift is where the story becomes truly forward-looking. vFunction’s platform is a prime example of GenAI’s expanding role in solving complex engineering problems. While consumer-facing AI like ChatGPT captures headlines, the application of AI to architectural modernization tackles a less glamorous but arguably more valuable enterprise challenge.

Instead of just generating new code snippets in isolation, vFunction provides what it calls “architectural observability.” By analyzing a running application, it builds a dynamic map of its dependencies, data flows, and domain boundaries. This deep contextual understanding powers its AI to make intelligent recommendations for modularization, identifying technical debt and generating actionable tasks to untangle the monolith. The platform claims this process can be up to 15 times faster than traditional methods, turning a multi-year ordeal into a manageable, iterative project.

This is the next evolution of AIOps (AI for IT Operations). It moves AI “shift left” in the development lifecycle, from merely monitoring production systems for anomalies to actively participating in their architectural design and remediation. By integrating with developer tools and providing GenAI-powered workflows, it augments human engineers, allowing them to focus on high-value strategic decisions rather than getting bogged down in the manual, error-prone work of code archaeology. This fusion of human expertise and AI-driven analysis is creating a new paradigm for continuous modernization, ensuring systems not only become resilient but stay that way over time.

The New Baseline for Business Continuity

The convergence of these trends—the non-negotiable demand for uptime, the validation provided by programs like the AWS Competency, and the maturation of AI as an engineering tool—is reshaping the competitive landscape. Resilience is no longer a feature to be bolted on but a fundamental architectural principle. For businesses, this means the choice of modernization partners and platforms is now a core strategic decision directly tied to business continuity and growth potential.

vFunction’s achievement is a signal that the market for modernizing legacy systems is maturing rapidly. Enterprises are no longer limited to the slow, risky path of manual refactoring or the superficial fix of a “lift-and-shift” migration. They now have access to validated, AI-powered solutions that can systematically deconstruct complexity and build resilience at the source. As more critical workloads move to the cloud, the ability to prove, measure, and continuously improve application resilience will become a key differentiator, separating market leaders from those left struggling with the brittle architectures of the past.