Utilize vFunction’s AI-driven architectural observability platform to reduce technical debt and complexity in your applications on Microsoft Azure, or leverage our microservices extraction and automation capabilities to accelerate your cloud migration.

Moving fast to deliver features, integrate new technologies, and stay competitive has a downside: mounting technical debt. Without regular remediation or visibility into software architecture, technical debt will dominate apps, impact resiliency and scalability, and debilitate teams who need to deliver fast to survive.

vFunction developed the first AI-driven architectural observability platform to continuously observe and reduce technical debt in applications. By analyzing application health and delivering actionable steps and automation aligned with business goals, vFunction empowers organizations to accelerate engineering velocity, enhance application resilience and scalability, and transform monoliths into cloud-native applications.

Key features:

• Architectural discovery AI-based architectural discovery and mapping visualizes and helps understand the architectural health of applications.
• Continuous architectural insights with static and dynamic binary analysis alerts on changes and compliance issues as they happen.
• Support for any application architecture (monoliths to distributed applications) and any programming language (Java, .NET, Python, GO, etc.)
• Actionable tasks automatically generate a prioritized task list into every sprint to fix key technical debt issues aligned with business goals, including cloud readiness for Microsoft Azure.
• Application transformation accelerates modernization and cloud migration by extracting microservices, and automatically generating endpoints, client libraries, API specs, and applying upgrade recipes to known frameworks.
• Works across Microsoft Azure services, including, Azure Kubernetes Services, Azure DevOps services, etc.

Key benefits: