increase in release frequency
Intesa Sanpaolo
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increase in release frequency
Intesa Sanpaolo
decrease in deployment time
Trend Micro
reduction in regression testing
Correla
vFunction has been named a 2024 Gartner Cool Vendor in AI-Augmented Development and Testing for Software Engineering.
Leverage AI-based architecture discovery and mapping to understand the architectural health of applications. Explore different visualizations and identify the most impactful areas of improvement in minutes.
Discover complex and dynamic relationships among classes, transactions, files, beans, synchronization objects, sockets, stored procedures, and other resources highlighting areas for improvement.
Architectural technical debt highlights the compromises made during software design and development that affect the system’s core architecture. vFunction pinpoints sources of technical debt in your applications, including issues with business logic modularity, resource exclusivity, domain dependencies, architectural complexity, and more.
Incorporate a prioritized task list into every sprint to fix key technical debt issues, based on your unique goals for the domain, including application scalability, resiliency, engineering velocity and cloud readiness.
See what's changed in your architecture since the last release — which domains were added, what dependencies were introduced — and configure automated alerts for new architectural events like new dependencies, domain changes, and cloud readiness issues.
vFunction supports transformations for updated frameworks, automates code extraction for microservices creation, and generates the necessary APIs and client libraries for newly created microservices.
Export architectural data and analysis results into any system for any purpose, as well as task lists for use in Jira and Azure DevOps. Simplify deployment in cloud ecosystems via licensing and marketplace integrations.
One of the most harmful, long-lasting forms of technical debt is architectural technical debt (ATD). Caused by architectural drift, bad architectural decisions, violations of defined target product architecture, or architectural trade-offs for faster software delivery, ATD can make future changes more costly or impossible, impacting scalability and reducing resiliency.
Engineering leaders leverage architectural observability to identify and reduce technical debt, drive resiliency and scalability, deliver innovative products faster, and continuously modernize and improve their applications.
Map real-time relationships, dependencies, and structure of your applications with AI-powered observability.
Visualize how applications change over time and get back to the baseline you set by observing your architecture after each release.
Continuously modernize and strengthen your applications, reducing unnecessary dependencies and creating more resilient boundaries between application domains.
Reduce architectural technical debt in your applications by automatically pinpointing issues with business logic, dead code, and dependencies, then generating a remediation to-do list.
Isolate and modularize domains in your monolithic applications, then convert them to microservices with code extraction, REST API generation, and automatic framework upgrades.
“I wish we had vFunction when I started at Turo. This kind of architectural observability gives us a much better understanding into our application and helps us with decision making as we move forward."
Senior Engineering Manager at Turo
Engineering teams and architects use vFunction to observe their application architectures, increase modularity, transform them into micro-service ready domains, and extract them into deployment-ready microservices.
See how vFunction can accelerate engineering velocity and increase application resiliency and scalability at your organization.