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vFunction Now Available in the Microsoft Azure Marketplace

vFunction announced the availability of its platform in the Microsoft Azure Marketplace, an online store providing applications and services for use on Azure.

Microsoft Azure customers can now take advantage of vFunction’s platform to drive cloud-native application development and modernization while benefiting from seamless license creation, activation, monitoring, expiration, and renewal. vFunction customers can now use the productive and trusted Azure cloud platform, which provides streamlined deployment and management.

vFunction's AI-powered architectural observability platform equips software architects, developers, and engineering leaders with real-time visibility into application architecture. It enhances application resilience, scalability, and engineering velocity by continuously detecting architectural drift and compliance issues, and prioritizing and recommending solutions to reduce technical debt and complexity with each release. By identifying and addressing the root cause of architectural technical debt, vFunction mitigates risk. It offers actionable steps with prescriptive inputs from ChatGPT to decrease this debt and validates new features post-release, ensuring they positively impact application quality and align with business goals.

"For too long, organizations have struggled to understand the impact of fast feature development on software architecture, leading to complexity and mounting technical debt," said Moti Rafalin, CEO and co-founder of vFunction. "Our AI-driven platform offers continuous architectural observability, allowing software engineers and architects to proactively measure, prioritize, and remediate technical debt throughout the software development life cycle. This leads to faster releases, increased application resiliency, better scalability, and cloud suitability. Whether migrating to Azure or already cloud-native, vFunction provides ongoing architectural observability of entire application portfolios. With the platform’s availability in the Microsoft Azure Marketplace, we are significantly expanding architectural visibility to millions of users, providing them with insights and guidance to address technical debt, specific Azure suitability, and accelerate innovation.”

Utilizing vFunction to manage technical debt and consistently improve software architecture can alleviate the challenges associated with large-scale IT modernization projects, including pre- and post-migration to Azure. vFunction facilitates domain extraction into microservices using its Code Copy feature on Azure, while its cloud readiness capability supports prioritization of cloud migration tasks. After assessing cloud readiness for Azure, vFunction provides guidance on challenges and requirements encountered during analysis, emphasizing critical areas of cloud compatibility with Azure-based services. This process helps customers move to Azure by making it simple for engineers, architects, and developers to understand and prioritize modernization tasks.

Jake Zborowski, General Manager, Microsoft Azure Platform at Microsoft, said, “Microsoft welcomes vFunction to Azure Marketplace, where global customers can find, try, and buy from among thousands of partner solutions. Azure Marketplace and trusted partners like vFunction help customers do more with less by increasing efficiency, buying confidently, and spending smarter.”

The Azure Marketplace is an online market for buying and selling cloud solutions certified to run on Azure. The Azure Marketplace helps connect companies seeking innovative, cloud-based solutions with partners who have developed solutions that are ready to use.

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vFunction Now Available in the Microsoft Azure Marketplace

vFunction announced the availability of its platform in the Microsoft Azure Marketplace, an online store providing applications and services for use on Azure.

Microsoft Azure customers can now take advantage of vFunction’s platform to drive cloud-native application development and modernization while benefiting from seamless license creation, activation, monitoring, expiration, and renewal. vFunction customers can now use the productive and trusted Azure cloud platform, which provides streamlined deployment and management.

vFunction's AI-powered architectural observability platform equips software architects, developers, and engineering leaders with real-time visibility into application architecture. It enhances application resilience, scalability, and engineering velocity by continuously detecting architectural drift and compliance issues, and prioritizing and recommending solutions to reduce technical debt and complexity with each release. By identifying and addressing the root cause of architectural technical debt, vFunction mitigates risk. It offers actionable steps with prescriptive inputs from ChatGPT to decrease this debt and validates new features post-release, ensuring they positively impact application quality and align with business goals.

"For too long, organizations have struggled to understand the impact of fast feature development on software architecture, leading to complexity and mounting technical debt," said Moti Rafalin, CEO and co-founder of vFunction. "Our AI-driven platform offers continuous architectural observability, allowing software engineers and architects to proactively measure, prioritize, and remediate technical debt throughout the software development life cycle. This leads to faster releases, increased application resiliency, better scalability, and cloud suitability. Whether migrating to Azure or already cloud-native, vFunction provides ongoing architectural observability of entire application portfolios. With the platform’s availability in the Microsoft Azure Marketplace, we are significantly expanding architectural visibility to millions of users, providing them with insights and guidance to address technical debt, specific Azure suitability, and accelerate innovation.”

Utilizing vFunction to manage technical debt and consistently improve software architecture can alleviate the challenges associated with large-scale IT modernization projects, including pre- and post-migration to Azure. vFunction facilitates domain extraction into microservices using its Code Copy feature on Azure, while its cloud readiness capability supports prioritization of cloud migration tasks. After assessing cloud readiness for Azure, vFunction provides guidance on challenges and requirements encountered during analysis, emphasizing critical areas of cloud compatibility with Azure-based services. This process helps customers move to Azure by making it simple for engineers, architects, and developers to understand and prioritize modernization tasks.

Jake Zborowski, General Manager, Microsoft Azure Platform at Microsoft, said, “Microsoft welcomes vFunction to Azure Marketplace, where global customers can find, try, and buy from among thousands of partner solutions. Azure Marketplace and trusted partners like vFunction help customers do more with less by increasing efficiency, buying confidently, and spending smarter.”

The Azure Marketplace is an online market for buying and selling cloud solutions certified to run on Azure. The Azure Marketplace helps connect companies seeking innovative, cloud-based solutions with partners who have developed solutions that are ready to use.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.