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Boundary Raises $15M

Boundary has raised $15 million to accelerate its pursuit of revolutionizing IT management.

Scale Venture Partners led the B round and existing investor, Lightspeed Venture Partners, also participated. The funds will be used to further scale the business to capitalize on a massive shift underway in IT environments, which demand a new approach to monitoring and management.

Three months after launching its application monitoring service, Boundary is tracking 23 billion records per day, and expects to hit half a trillion by 2013.

“The shift to a cloud-based architecture is unfolding across every area of IT, and as expected, becoming a huge disruptor for systems management software,” said Rory O’Driscoll, Managing Director with ScaleVP. “Boundary has executed on this huge market opportunity with precision, getting a superior product to market and establishing traction with a growing list of tech-savvy customers, including some of our portfolio companies. I’m excited to be an investor and to work with Gary, Cliff and the team as they scale up.”

Organizations running their businesses on open source, big data and cloud environments must rethink IT monitoring to cope with constant change that has become the norm. This reality has caused rapid growth in the distributed application performance monitoring and network management markets.

A recent Gartner report stated that more than $18 billion was spent on IT operations management software in 2011, a $1.5 billion increase over spending in 2010. Boundary has distinguished itself by making monitoring effective, affordable and compatible with modern IT architectures.

“Consumers expect cloud apps to work well all the time. In this environment, traditional monitoring systems, with their sample/test/alert approach, are not good enough,” said Gary Read, CEO at Boundary. “Boundary is the only vendor whose system was built for the cloud, monitors performance every second, and delivers actionable insights to users.”

Many different types and sizes of companies use Boundary, but they all have one thing in common: they care about providing customers with an “always-on” experience. Boundary has the ability to spot the early warning signs of potential system problems, and resolve them before they impact customers.

Scale Venture Partners has a successful track record of investment. With $900 million under management, the firm has backed successful cloud and SaaS startups, including Box, DocuSign, ExactTarget, FrontBridge Technologies, HubSpot, Omniture, RingCentral, Scale Computing, uTest and Vitrue. Managing director Rory O’Driscoll, who has joined the Boundary board, was named to the Forbes Midas List in 2012 and was also named one of the “power players” of venture capital by AlwaysOn in 2011 and 2012.

“Boundary is bringing the transformative power of Big Data technology to the IT monitoring market,” said John Vrionis, Managing Director at Lightspeed Venture Partners and Boundary board member. “We’re proud to be founding investors in Boundary, and look forward to continuing to support the company’s world class team in building the leading next-generation solution.”

“We are excited that Lightspeed has increased its holding in Boundary and that Rory has joined our board,” said Read. “With support from great partners like Scale VP and Lightspeed, who understand this huge opportunity, we will build a company that sets the new standard for how all organizations measure and monitor IT.”

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

Boundary Raises $15M

Boundary has raised $15 million to accelerate its pursuit of revolutionizing IT management.

Scale Venture Partners led the B round and existing investor, Lightspeed Venture Partners, also participated. The funds will be used to further scale the business to capitalize on a massive shift underway in IT environments, which demand a new approach to monitoring and management.

Three months after launching its application monitoring service, Boundary is tracking 23 billion records per day, and expects to hit half a trillion by 2013.

“The shift to a cloud-based architecture is unfolding across every area of IT, and as expected, becoming a huge disruptor for systems management software,” said Rory O’Driscoll, Managing Director with ScaleVP. “Boundary has executed on this huge market opportunity with precision, getting a superior product to market and establishing traction with a growing list of tech-savvy customers, including some of our portfolio companies. I’m excited to be an investor and to work with Gary, Cliff and the team as they scale up.”

Organizations running their businesses on open source, big data and cloud environments must rethink IT monitoring to cope with constant change that has become the norm. This reality has caused rapid growth in the distributed application performance monitoring and network management markets.

A recent Gartner report stated that more than $18 billion was spent on IT operations management software in 2011, a $1.5 billion increase over spending in 2010. Boundary has distinguished itself by making monitoring effective, affordable and compatible with modern IT architectures.

“Consumers expect cloud apps to work well all the time. In this environment, traditional monitoring systems, with their sample/test/alert approach, are not good enough,” said Gary Read, CEO at Boundary. “Boundary is the only vendor whose system was built for the cloud, monitors performance every second, and delivers actionable insights to users.”

Many different types and sizes of companies use Boundary, but they all have one thing in common: they care about providing customers with an “always-on” experience. Boundary has the ability to spot the early warning signs of potential system problems, and resolve them before they impact customers.

Scale Venture Partners has a successful track record of investment. With $900 million under management, the firm has backed successful cloud and SaaS startups, including Box, DocuSign, ExactTarget, FrontBridge Technologies, HubSpot, Omniture, RingCentral, Scale Computing, uTest and Vitrue. Managing director Rory O’Driscoll, who has joined the Boundary board, was named to the Forbes Midas List in 2012 and was also named one of the “power players” of venture capital by AlwaysOn in 2011 and 2012.

“Boundary is bringing the transformative power of Big Data technology to the IT monitoring market,” said John Vrionis, Managing Director at Lightspeed Venture Partners and Boundary board member. “We’re proud to be founding investors in Boundary, and look forward to continuing to support the company’s world class team in building the leading next-generation solution.”

“We are excited that Lightspeed has increased its holding in Boundary and that Rory has joined our board,” said Read. “With support from great partners like Scale VP and Lightspeed, who understand this huge opportunity, we will build a company that sets the new standard for how all organizations measure and monitor IT.”

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...