Skip to main content

New Company Launch: OpsDataStore

OpsDataStore, a new company delivering complete and real-time operational transparency across the IT stack, has launched with $3 million in Series A funding.

The round was led by Forté Ventures and included investments from Citrix Systems, Persistent Systems, Osage Venture Partners, and individual investors, Frank Swain, former VP of Sales at Splunk and AppDynamics, and Mike Phelan, Venture Partner at Osage Venture Partners and former CEO at SevOne. Led by IT operations and applications management expert Bernd Harzog, OpsDataStore enables the enterprise to deliver superior online service quality based on a common data store for all management data and vendors.

“Despite massive investments in outdated frameworks from legacy vendors and scores of point tools, along with time spent building internal tooling, enterprises still suffer from numerous service outages that are difficult, expensive and time-consuming to resolve. Based on our work with hundreds of enterprise customers over the last several years, it’s clear the only way to transform modern IT management is a best-of-breed ecosystem of innovative new management tool vendors anchored by a common high-speed big data platform,” said Bernd Harzog, CEO at OpsDataStore.

Service quality across heterogeneous stacks and platforms has plagued enterprises for decades. Outdated legacy management frameworks, collections of unrelated point tools, homegrown solutions and other piecemeal approaches are time consuming, expensive and ineffective. To improve performance and availability of these systems, data from all platforms and tools must be combined into one real time data store.

“OpsDataStore is closing a 25-year-old gap in the industry, which was created by management vendors underestimating the rapid pace and diversity of technology innovation,” said Gabriel Lowy, CEO at Tech-Tonics Advisors. “Bernd has assembled a powerhouse team that uniquely understands the complex challenges faced by today’s enterprises. We believe OpsDataStore is at the forefront of the next wave of innovation in IT operations, service management and user experience assurance.”

The OpsDataStore executive team is built on decades of experience in application management, big data systems and enterprise solutions. In addition to serving as a research director at Gartner, CEO Bernd Harzog founded APM Experts, a strategy-consulting service to leading vendors in the modern management software industry. Spearheading OpsDataStore’s technical vision is CTO Dave Wagner, who spent over a decade at BMC Software as Director of Product Management for the company’s complete line of distributed systems monitoring and management solutions. Additional executives include: Todd Nist, VP of Architecture; Rich Salerno, VP of Global Accounts, NYC; and Joel Fortune, VP of Global Accounts, Chicago.

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.

New Company Launch: OpsDataStore

OpsDataStore, a new company delivering complete and real-time operational transparency across the IT stack, has launched with $3 million in Series A funding.

The round was led by Forté Ventures and included investments from Citrix Systems, Persistent Systems, Osage Venture Partners, and individual investors, Frank Swain, former VP of Sales at Splunk and AppDynamics, and Mike Phelan, Venture Partner at Osage Venture Partners and former CEO at SevOne. Led by IT operations and applications management expert Bernd Harzog, OpsDataStore enables the enterprise to deliver superior online service quality based on a common data store for all management data and vendors.

“Despite massive investments in outdated frameworks from legacy vendors and scores of point tools, along with time spent building internal tooling, enterprises still suffer from numerous service outages that are difficult, expensive and time-consuming to resolve. Based on our work with hundreds of enterprise customers over the last several years, it’s clear the only way to transform modern IT management is a best-of-breed ecosystem of innovative new management tool vendors anchored by a common high-speed big data platform,” said Bernd Harzog, CEO at OpsDataStore.

Service quality across heterogeneous stacks and platforms has plagued enterprises for decades. Outdated legacy management frameworks, collections of unrelated point tools, homegrown solutions and other piecemeal approaches are time consuming, expensive and ineffective. To improve performance and availability of these systems, data from all platforms and tools must be combined into one real time data store.

“OpsDataStore is closing a 25-year-old gap in the industry, which was created by management vendors underestimating the rapid pace and diversity of technology innovation,” said Gabriel Lowy, CEO at Tech-Tonics Advisors. “Bernd has assembled a powerhouse team that uniquely understands the complex challenges faced by today’s enterprises. We believe OpsDataStore is at the forefront of the next wave of innovation in IT operations, service management and user experience assurance.”

The OpsDataStore executive team is built on decades of experience in application management, big data systems and enterprise solutions. In addition to serving as a research director at Gartner, CEO Bernd Harzog founded APM Experts, a strategy-consulting service to leading vendors in the modern management software industry. Spearheading OpsDataStore’s technical vision is CTO Dave Wagner, who spent over a decade at BMC Software as Director of Product Management for the company’s complete line of distributed systems monitoring and management solutions. Additional executives include: Todd Nist, VP of Architecture; Rich Salerno, VP of Global Accounts, NYC; and Joel Fortune, VP of Global Accounts, Chicago.

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.