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Dynatrace Names New CFO

Dynatrace named Ken Stillwell as the company's new Chief Financial Officer (CFO).

Stillwell is an accomplished finance executive with more than 20 years of experience in the technology industry. He will be responsible for the company's global financial operations and will report to Dynatrace Chief Executive Officer, John Van Siclen.

"Ken's track record in high growth technology markets and extensive experience driving and managing profitable growth is exactly what we were looking for in our new CFO," said Dynatrace CEO, John Van Siclen. "Ken's understanding of operational efficiencies will be instrumental to Dynatrace's ongoing transformation, and his ability to make the CFO role a true strategic partner across the organization will be invaluable as we continue to the lead the APM industry forward."

Stillwell joins Dynatrace from Taxware, where he served as CFO. Previously, Mr. Stillwell was at PTC where he served as Vice President of Finance/Strategy (CFO) for the PLM/SCM/ALM Business Segments, which accounted for over $600 million in revenue.

"Dynatrace has reached an important point in its evolution. Now, as a private, profitable company, it is the world's largest independent APM business, with the highest market share and R&D investment among the new generation of APM vendors," said Stillwell. "I am excited to join a company so well positioned for growth, and look forward to collaborating as a key member of the executive team."

In addition to Taxware and PTC, Stillwell earlier served in executive leadership roles at Inmedius, Anteon and Decrane Aerospace Corporation. He is a certified public accountant and began his career at PricewaterhouseCoopers.

Stillwell will be based in Dynatrace's Waltham, MA headquarters. He holds a graduate degree in business from the University of South Carolina and a bachelor's degree in economics from the University of Pittsburgh.

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Dynatrace Names New CFO

Dynatrace named Ken Stillwell as the company's new Chief Financial Officer (CFO).

Stillwell is an accomplished finance executive with more than 20 years of experience in the technology industry. He will be responsible for the company's global financial operations and will report to Dynatrace Chief Executive Officer, John Van Siclen.

"Ken's track record in high growth technology markets and extensive experience driving and managing profitable growth is exactly what we were looking for in our new CFO," said Dynatrace CEO, John Van Siclen. "Ken's understanding of operational efficiencies will be instrumental to Dynatrace's ongoing transformation, and his ability to make the CFO role a true strategic partner across the organization will be invaluable as we continue to the lead the APM industry forward."

Stillwell joins Dynatrace from Taxware, where he served as CFO. Previously, Mr. Stillwell was at PTC where he served as Vice President of Finance/Strategy (CFO) for the PLM/SCM/ALM Business Segments, which accounted for over $600 million in revenue.

"Dynatrace has reached an important point in its evolution. Now, as a private, profitable company, it is the world's largest independent APM business, with the highest market share and R&D investment among the new generation of APM vendors," said Stillwell. "I am excited to join a company so well positioned for growth, and look forward to collaborating as a key member of the executive team."

In addition to Taxware and PTC, Stillwell earlier served in executive leadership roles at Inmedius, Anteon and Decrane Aerospace Corporation. He is a certified public accountant and began his career at PricewaterhouseCoopers.

Stillwell will be based in Dynatrace's Waltham, MA headquarters. He holds a graduate degree in business from the University of South Carolina and a bachelor's degree in economics from the University of Pittsburgh.

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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 ...

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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.