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 MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

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 MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...