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vFunction | AI-Driven Architectural Modernization

vFunction helps software teams identify architectural technical debt and modularize legacy applications. It is designed for companies moving from on-premises monoliths to cloud-native architectures.

At a glance

Best for
Enterprise software companies, Companies with legacy Java or .NET monoliths, Software architects, Development teams transitioning to cloud-native architectures
Pricing
Pricing is based on application count (t-shirt sizing) with volume discounts available for packs of 10, 20, 30, or 50+ apps. Buyers should confirm current pricing on the vendor website.
Key use cases
Monolith to Microservices Transformation, Cloud Migration Support, Framework Upgrades, Managing Distributed Architecture
Integrations
GitHub Copilot, Amazon Q, Jira, Azure DevOps, Slack
Official website
vfunction.com
Screenshot of vfunction website

vFunction is a technical platform designed for the architectural transformation of complex Java (1.6+) and .NET (4.0+) applications. It uses runtime and static analysis combined with data science to visualize application structures and identify domain boundaries, which supports the process of breaking down a monolith into microservices.

The tool is aimed at companies in industries such as financial services, automotive, and manufacturing. It supports a workflow that moves from data collection and visualization to modularization and service extraction, providing prompts that guide AI code assistants during the refactoring process.

Buyers should note that this is a high-technical-level tool. It is designed to integrate into the software development lifecycle by providing architectural context to tools like GitHub Copilot and Amazon Q. It supports on-premises deployment to keep data within the customer environment.

Key Features

Runtime and Static Analysis

Analyzes applications dynamically and statically to map functional domains, entry points, and dependencies.

AI-Driven Refactoring Plans

Generates structured modernization plans and prompts that may be used by AI code assistants to modularize code.

Automatic Code Extraction

Supports the extraction of domains into separate services and the generation of associated APIs and client libraries.

Architectural Visualization

Generates sequence diagrams, service maps, and C4 diagrams to document system architecture in real time.

Technical Debt Quantification

Monitors for architectural drift, dead code, and circular dependencies to help teams quantify risk.

OpenTelemetry Integration

Uses OpenTelemetry to manage and document distributed architectures after modernization.

Use Cases

Monolith to Microservices Transformation

Identifying domain boundaries in legacy Java or .NET apps to extract them into modular, cloud-native services.

Cloud Migration Support

Analyzing on-premises applications to support the transition from lift-and-shift to containers or serverless platforms.

Framework Upgrades

Using AI-guided prompts to modernize aging frameworks, such as migrating from JEE to Spring Boot.

Managing Distributed Architecture

Monitoring post-modernization environments to detect architectural drift.

Best For

Enterprise software companiesCompanies with legacy Java or .NET monolithsSoftware architectsDevelopment teams transitioning to cloud-native architectures

Integrations

GitHub CopilotAmazon QJiraAzure DevOpsSlackOpenTelemetry

Pricing

Pricing is based on application count (t-shirt sizing) with volume discounts available for packs of 10, 20, 30, or 50+ apps. Buyers should confirm current pricing on the vendor website.

FAQ

What languages does vFunction support?

vFunction supports Java applications (version 1.6 and above) and .NET applications (version 4.0 and above).

How is vFunction priced?

Pricing is based on the number of applications and services observed, using a t-shirt size model with volume discounts for larger app packs.

Where is vFunction deployed?

It is primarily installed on-premises so that data remains within the customer environment, though cloud versions may be available on a case-by-case basis.

Does vFunction replace AI code assistants like GitHub Copilot?

No, it is designed to integrate with them, providing the architectural context and prompts these assistants need to refactor complex legacy systems.

Source category: Software Development

Source subcategory: Application Modernization

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