Articles from vFunction

vFunction®, the pioneer in powering GenAI architectural modernization, transforming complex apps into cloud-native systems, announced today that it has achieved the Amazon Web Services (AWS) Resilience Software Competency in the Resilience Design category. This specialization recognizes vFunction as an AWS Partner that provides validated solutions to help customers improve their critical systems availability and resilience posture using AWS Resilience Services. As each customer and their critical workloads have unique availability requirements, AWS Resilience Competency Partners provide tailored guidance and solutions to achieve the highest system uptime needs. Trust in AWS Resilience Competency Partners to deliver top-notch services that meet your organization's resilience needs in today's dynamic business landscape.

vFunction, the pioneer of AI-driven architectural observability and modernization, today announced the industry’s first GenAI-powered capabilities to refactor and rearchitect applications. Unlike other code generation tools, vFunction leverages a unique combination of static and dynamic analysis with its own proprietary data science to efficiently remediate architectural technical debt, streamline refactoring, and enable service transformation for faster, more efficient modernization. This latest release brings vFunction’s architectural context to any GenAI assistant, including native integrations with Amazon Q Developer and GitHub Copilot to guide developers through automated architectural modernization and GenAI-powered service transformation. With these new capabilities, developers can seamlessly remove dependencies, increase modularity, convert outdated patterns, extract services, and support adding APIs for agentic integration and transformation. Engineers can achieve faster, more consistent architectural modernization directly from their integrated development environment (IDEs) and command line.

vFunction®, the pioneer of AI-driven architectural observability (AO), released new research revealing a significant disconnect between executive perception and reality in software architecture management. The “2025 Architecture in Software Development” study found that while nearly two in three organizations (63%) claim architecture is integrated throughout development (from design to deployment and beyond), more than half (56%) have documentation that doesn’t match the architecture in production. Respondents report that the impact of this architecture disconnect has potentially resulted in project delays (53%), security or compliance challenges (50%), scalability limitations (46%), and reduced engineering team productivity (28%). As 65% of companies believe that AI solutions will simplify their application architecture, the need for improved governance, AI-driven insights, and advanced observability grows.

vFunction®, the pioneer of AI-driven architectural observability (AO), today announced significant platform advancements that reduce complexity across the architectural spectrum and target the growing disconnect between development speed and architectural integrity. The “2025 Architecture in Software Development,” a new study of over 600 IT professionals reveals that despite 63% of enterprises claiming integrated architecture practices, over half report delays observed alongside architectural misalignment, with 56% acknowledging production environments no longer match their documentation. This disconnect grows as AI code assistants accelerate development while hiding poor architectural quality beneath functional code. With vFunction’s introduction of subsystem-level microservices management and expanded OpenTelemetry applications for distributed architectures, organizations can actively observe, identify, and act on architectural issues. For monolithic applications, teams can accelerate modernization initiatives with component diagrams for architectural flows and AI-guided starting points for complex refactoring tasks. The platform also now includes integration with enterprise architecture (EA) tools through open APIs, enabling architects to maintain current and accurate architectural designs.

vFunction®, the pioneer of AI-driven architectural observability (AO), announced today that it has joined the Amazon Web Services (AWS) Independent Software Vendor (ISV) Accelerate Program, a co-sell program for AWS Partners that provides software solutions that run on or integrate with AWS. By joining the AWS ISV Accelerate Program, vFunction brings architectural observability to a broad range of enterprises seeking to modernize their application architectures and improve application scalability and resiliency. The program helps AWS Partners drive new business by directly connecting participating ISVs with the AWS Sales organization.

vFunction, the pioneer of AI-driven architectural observability (AO), announced today it has been selected as a vendor in the new Amazon Web Services (AWS) Independent Service Vendor (ISV) Workload Migration Program, a global initiative that provides enterprises with funded access to advanced modernization and migration technologies.

vFunction, the pioneer of AI-driven architectural observability (AO), today announced its achievement of the ISO 27001 certification, the international standard for information security management. This milestone underscores vFunction's commitment to best practices in information security and robust data protection, assuring customers and partners of data privacy and security as they modernize their applications.

vFunction, the pioneer of AI-driven architectural observability (AO), today unveiled new capabilities that provide software teams with essential functionality to accelerate application innovation while maintaining resiliency and reducing technical debt. New, first-to-market software architecture governance capabilities allow organizations to implement rules that act as guardrails for distributed applications to combat microservices sprawl. These rules help engineering teams to monitor their distributed architecture and receive alerts to ensure all services are calling authorized servers, enforce boundaries between particular services, and maintain correct database-to-microservice relationships. Comprehensive flow analysis features, including live flow coverage for monoliths and sequence diagrams for distributed applications, align design intent with actual implementation. These tools help organizations identify inadequate testing and insufficient test coverage based on comparing actual production flows to tested flows. vFunction's unique domain-driven design, combined with its comprehensive approach to production flow analysis, empowers organizations to achieve the architectural clarity and control needed for improved engineering velocity, application scalability, and resiliency.

As enterprises confront the staggering $1.52 trillion in software technical debt, a new study released today by vFunction, the pioneer of AI-driven architectural observability, reveals that architectural technical debt (ATD) has emerged as the most formidable challenge. The research titled, “Microservices, Monoliths, and the Battle Against $1.52 Trillion in Technical Debt,” found that companies are grappling with the challenges posed by technical debt within their increasingly complex software architectures, leading to slower engineering velocity and challenges with application scalability and resiliency. In response, nearly eight in ten (77%) organizations have implemented enterprise-wide initiatives to address technical debt head-on. More than half (51%) of companies are dedicating more than a quarter of their annual IT and engineering budgets to remediation, including refactoring and re-architecting efforts. The research reveals that software architecture is a critical yet often overlooked driver of business success in the technology landscape, presenting untapped opportunities for organizations to optimize their operations and gain a competitive advantage.

vFunction today shared its vision for AI-driven architectural observability, a pioneering approach to address the $1.52 trillion technical debt problem that costs U.S. companies $2.41 trillion annually in cybersecurity and operational failures. vFunction CEO and co-founder Moti Rafalin declared the end to fragmented and manual approaches to understanding application architectures. These barriers have significantly hampered digital transformation progress at the enterprise level, resulting in mounting technical debt – particularly architectural technical debt (ATD) – leaving billions of dollars in potential revenue unrealized. vFunction, founded on the belief that software architecture is one of the most underutilized business levers in technology, envisions a future where AI-powered architectural observability transforms software development and maintenance. By capitalizing on the perfect confluence of business and technological factors to replace traditional approaches, it aims to empower software architects and development teams to achieve unparalleled engineering velocity while enabling applications to attain unprecedented scalability and resiliency.

vFunction, the pioneer of AI-driven architectural observability (AO), today announced new AI-guided advancements designed to proactively navigate the intricacies of distributed architectures as enterprises scale and face technical debt in microservices environments. With vFunction architectural observability for distributed applications, software architects and engineers can now monitor architectural drift within their distributed applications in real time, preventing the accumulation of complexity and compounding technical debt caused by intricate microservice interactions. Whether moving from monoliths to distributed architectures or further decomposing existing microservices, vFunction supports the full architectural spectrum to merge or modularize domains and services. This enables teams to analyze the impact of architectural decisions as they arise, no matter what type of architecture applications are built on. Through the integration of a GenAI-based assistant, vFunction streamlines the process of re-architecting and refactoring by providing guided recommendations and automating tasks to restore engineering velocity, increase resiliency and scalability, and ultimately drive the continuous improvement of application architecture through architectural observability.