Skip to main content

Auvik Appoints New CEO

Auvik announced the appointment of Douglas Murray as CEO.

Murray succeeds Marc Morin, who founded Auvik alongside Alex Hoff and David Yach in 2011 and has served as the company’s CEO since inception. Morin will continue to be an active member of Auvik’s Board of Directors.

Murray will focus on accelerating Auvik’s next phase of innovation and growth. Following the recent acquisitions of Saaslio, Boardgent, and MetaGeek, the Auvik platform will soon allow managed service providers (MSPs) and IT teams to deliver exceptional end-user experience regardless of location, device, or applications deployed.

“It is clear that the team is aligned with its 3,500 customers to provide unrivaled, easy to use solutions,” said Murray. “The company has already seen success following its growth investment from Great Hill Partners and, with its most recent acquisitions, Auvik is poised to take the company to the next level. My thanks to Marc for leading Auvik from incubation to scale over the last decade.”

With over 25 years of international network, cloud, and security industry experience, Murray most recently served as CEO of Valtix, a platform for multi-cloud network security. At Valtix, Murray oversaw the acceleration of the company’s go-to-market strategy and fostered new strategic investment partnerships. Murray also brings experience from his seven years as CEO of SDN pioneer Big Switch Networks, which was acquired by Arista Networks in 2020. Additionally, as Senior VP and GM at Juniper Networks, Murray led its USD $1 billion business across the APJC region — driving customer engagement, sales development, strategic planning and revenue growth.

“As a co-founder, I will always be Auvik’s biggest champion and I could not think of a better person than Doug to lead the company through its next phase of explosive growth,” said Morin. “His extensive industry experience, specifically in the multi-cloud Software Defined Networking and network observability space, is exactly what Auvik needs to push forward into its next chapter and become the ultimate network management platform. I have no doubt that Auvik will experience tremendous growth and accelerated innovation with Doug at the helm.”

“Doug’s background gives him a keen understanding of how the industry has changed over the past few years, as well as how Auvik can evolve to meet the market's changing needs,” said Drew Loucks, a Managing Director at Great Hill Partners. “Our investment last year is testament to the potential we see in Auvik, and Doug’s experience will be instrumental in architecting the company’s continued growth...”

Auvik is backed by Great Hill Partners, a private equity firm that invests in high-growth, disruptive companies.

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.

Auvik Appoints New CEO

Auvik announced the appointment of Douglas Murray as CEO.

Murray succeeds Marc Morin, who founded Auvik alongside Alex Hoff and David Yach in 2011 and has served as the company’s CEO since inception. Morin will continue to be an active member of Auvik’s Board of Directors.

Murray will focus on accelerating Auvik’s next phase of innovation and growth. Following the recent acquisitions of Saaslio, Boardgent, and MetaGeek, the Auvik platform will soon allow managed service providers (MSPs) and IT teams to deliver exceptional end-user experience regardless of location, device, or applications deployed.

“It is clear that the team is aligned with its 3,500 customers to provide unrivaled, easy to use solutions,” said Murray. “The company has already seen success following its growth investment from Great Hill Partners and, with its most recent acquisitions, Auvik is poised to take the company to the next level. My thanks to Marc for leading Auvik from incubation to scale over the last decade.”

With over 25 years of international network, cloud, and security industry experience, Murray most recently served as CEO of Valtix, a platform for multi-cloud network security. At Valtix, Murray oversaw the acceleration of the company’s go-to-market strategy and fostered new strategic investment partnerships. Murray also brings experience from his seven years as CEO of SDN pioneer Big Switch Networks, which was acquired by Arista Networks in 2020. Additionally, as Senior VP and GM at Juniper Networks, Murray led its USD $1 billion business across the APJC region — driving customer engagement, sales development, strategic planning and revenue growth.

“As a co-founder, I will always be Auvik’s biggest champion and I could not think of a better person than Doug to lead the company through its next phase of explosive growth,” said Morin. “His extensive industry experience, specifically in the multi-cloud Software Defined Networking and network observability space, is exactly what Auvik needs to push forward into its next chapter and become the ultimate network management platform. I have no doubt that Auvik will experience tremendous growth and accelerated innovation with Doug at the helm.”

“Doug’s background gives him a keen understanding of how the industry has changed over the past few years, as well as how Auvik can evolve to meet the market's changing needs,” said Drew Loucks, a Managing Director at Great Hill Partners. “Our investment last year is testament to the potential we see in Auvik, and Doug’s experience will be instrumental in architecting the company’s continued growth...”

Auvik is backed by Great Hill Partners, a private equity firm that invests in high-growth, disruptive companies.

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.