Skip to main content

Flexera Completes Acquisition of NetApp's Spot FinOps Portfolio

Flexera completed the acquisition of Spot from NetApp, the intelligent data infrastructure company. 

The acquisition is Flexera’s latest step towards offering a comprehensive set of solutions to help organizations confront growing cloud cost and usage hurdles, especially as the consumption of artificial intelligence (AI) surges and strains cloud budgets.

With this acquisition, Flexera expands its Cloud Financial Management offering into a suite of AI-powered FinOps technologies and enhances the value of these offerings by expanding its partner ecosystem. This newly bolstered FinOps portfolio from Flexera allows organizations and managed service providers (MSPs) to manage cloud financial commitments, automate billing and invoicing, reduce workload costs and optimize containers. Flexera FinOps aligns with the expanding scope of FinOps to include data centers, SaaS and public cloud, while also supporting enhanced use cases such as software licensing and sustainability.

“The need for FinOps and cloud cost optimization has never been greater, as critical AI initiatives create more urgency for boards and C-suites to effectively contain swelling cloud and IT spend,” said Jim Ryan, President and CEO of Flexera. “We believe that by bringing Spot and its core products into the Flexera FinOps portfolio, we are now the most comprehensive provider in the space. This also complements our leading positions in IT Asset Management and SaaS Management.”

The Spot business adds new capabilities to Flexera’s FinOps solution with Kubernetes cost management and accelerates innovation in container management, spot cloud instances and commitment management. Spot’s main product lines include:

  • Spot Eco helps organizations unlock the full value of their cloud services with a series of cloud commitment management features, ensuring organizations capture critical savings from reserved instances, savings plans or committed usage discounts across Amazon Web Services, Microsoft Azure and Google Cloud Platform.
  • Spot Ocean is a Kubernetes infrastructure management product that provides continuous optimization of containers for cost, performance and availability.
  • Spot Elastigroup allows organizations to scale their workloads and maximize the value of their cloud investments with spot instances and virtual machines.
  • CloudCheckr is a powerful cloud cost management tool allowing enterprise, MSPs and distributors to manage and reduce cloud costs, optimize resources and gain operational efficiencies, manage billing and invoicing, improve governance, and strengthen security and compliance. 

These solutions are accompanied by a portfolio of policy-based best practice checks for cost, security, governance and compliance.

“The completion of this transaction further hones our focus of our Public Cloud business. Our highly differentiated first party and marketplace cloud storage services are complemented by intelligent data and operational services such as Data Infrastructure Insights and Instaclustr. These services, in concert with our Hybrid Cloud products, enable customers to build a seamless intelligent data infrastructure across hybrid multi-cloud,” said Haiyan Song, Executive Vice President, Intelligent Operations Services, at NetApp. “We believe that Flexera is the right environment for Spot portfolio of solutions, employees and customers to thrive.”

Flexera’s integration of Spot also creates new opportunities for partners – particularly MSPs and distributors – to develop or enhance their own FinOps services. With Flexera, partners have a chance to tap into a broader portfolio of technologies and specialists, while building value-added services that cover the expanded definition of FinOps to include ITAM and software licensing, SaaS management, AI spend management and more.

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.

Flexera Completes Acquisition of NetApp's Spot FinOps Portfolio

Flexera completed the acquisition of Spot from NetApp, the intelligent data infrastructure company. 

The acquisition is Flexera’s latest step towards offering a comprehensive set of solutions to help organizations confront growing cloud cost and usage hurdles, especially as the consumption of artificial intelligence (AI) surges and strains cloud budgets.

With this acquisition, Flexera expands its Cloud Financial Management offering into a suite of AI-powered FinOps technologies and enhances the value of these offerings by expanding its partner ecosystem. This newly bolstered FinOps portfolio from Flexera allows organizations and managed service providers (MSPs) to manage cloud financial commitments, automate billing and invoicing, reduce workload costs and optimize containers. Flexera FinOps aligns with the expanding scope of FinOps to include data centers, SaaS and public cloud, while also supporting enhanced use cases such as software licensing and sustainability.

“The need for FinOps and cloud cost optimization has never been greater, as critical AI initiatives create more urgency for boards and C-suites to effectively contain swelling cloud and IT spend,” said Jim Ryan, President and CEO of Flexera. “We believe that by bringing Spot and its core products into the Flexera FinOps portfolio, we are now the most comprehensive provider in the space. This also complements our leading positions in IT Asset Management and SaaS Management.”

The Spot business adds new capabilities to Flexera’s FinOps solution with Kubernetes cost management and accelerates innovation in container management, spot cloud instances and commitment management. Spot’s main product lines include:

  • Spot Eco helps organizations unlock the full value of their cloud services with a series of cloud commitment management features, ensuring organizations capture critical savings from reserved instances, savings plans or committed usage discounts across Amazon Web Services, Microsoft Azure and Google Cloud Platform.
  • Spot Ocean is a Kubernetes infrastructure management product that provides continuous optimization of containers for cost, performance and availability.
  • Spot Elastigroup allows organizations to scale their workloads and maximize the value of their cloud investments with spot instances and virtual machines.
  • CloudCheckr is a powerful cloud cost management tool allowing enterprise, MSPs and distributors to manage and reduce cloud costs, optimize resources and gain operational efficiencies, manage billing and invoicing, improve governance, and strengthen security and compliance. 

These solutions are accompanied by a portfolio of policy-based best practice checks for cost, security, governance and compliance.

“The completion of this transaction further hones our focus of our Public Cloud business. Our highly differentiated first party and marketplace cloud storage services are complemented by intelligent data and operational services such as Data Infrastructure Insights and Instaclustr. These services, in concert with our Hybrid Cloud products, enable customers to build a seamless intelligent data infrastructure across hybrid multi-cloud,” said Haiyan Song, Executive Vice President, Intelligent Operations Services, at NetApp. “We believe that Flexera is the right environment for Spot portfolio of solutions, employees and customers to thrive.”

Flexera’s integration of Spot also creates new opportunities for partners – particularly MSPs and distributors – to develop or enhance their own FinOps services. With Flexera, partners have a chance to tap into a broader portfolio of technologies and specialists, while building value-added services that cover the expanded definition of FinOps to include ITAM and software licensing, SaaS management, AI spend management and more.

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.