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SmartBear Names New VP of Products, Test and Development

SmartBear Software named Ryan Lloyd as VP of Products, Test and Development.

Lloyd will lead the direction and growth of SmartBear’s industry leading test and development tools, ensuring entire software teams, including developers, testers and operations, address their biggest challenges amidst market changes.

Most recently, Lloyd was VP, Product Management and Strategy at product lifecycle management company, PTC. He has spent more than 15 years developing deep domain knowledge in software engineering.

“Ryan is very familiar with the challenges and problems that SmartBear’s customers are looking to solve most efficiently,” said Justin Teague, President and COO at SmartBear. “With broad go-to market experience having managed multiple, global products, he is positioned to respond to our customers’ changing needs as well as changing market trends. I look forward to him leading the efforts to further penetrate SmartBear’s testing and development product line into the global marketplace.”

For more than 10 years, Lloyd held several product management roles at MKS Inc., before the company was acquired by PTC in 2011. MKS was the developer of an industry-leading platform for software application lifecycle management (ALM). While at MKS, Lloyd developed significant international experience, spending six years in the UK and extensive time in Europe and Asia Pacific as the company established a presence in Germany and Japan. While at PTC, Lloyd led the subscription transition for the ALM business, was a key business sponsor behind PTC’s acquisition of ThingWorx and led the development of strategies for modernizing the business through the introduction of a new SaaS product. He began his career as an embedded software engineer for an aerospace start-up. He holds multiple Agile certifications from the Scrum Alliance.

From 2008-2012, Lloyd served as an Executive Board member of the Waterloo Community Arts Centre in Ontario, Canada. He is currently a judge and mentor for MassChallenge, the most startup-friendly accelerator on the planet.

“Every company has become a software company with teams facing enormous pressure to deliver products more continuously and at higher levels of quality,” said Lloyd. “As a result, the testing tools market is growing at a rapid pace. SmartBear is uniquely positioned with a strong portfolio of products that meet the needs of the entire software team at all layers of the technology stack. I’m committed to helping SmartBear deliver great products that are easy to get started with and help customers on their journey to deliver world class software – while continuing to fuel strong growth with SmartBear’s core test and dev products.”

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SmartBear Names New VP of Products, Test and Development

SmartBear Software named Ryan Lloyd as VP of Products, Test and Development.

Lloyd will lead the direction and growth of SmartBear’s industry leading test and development tools, ensuring entire software teams, including developers, testers and operations, address their biggest challenges amidst market changes.

Most recently, Lloyd was VP, Product Management and Strategy at product lifecycle management company, PTC. He has spent more than 15 years developing deep domain knowledge in software engineering.

“Ryan is very familiar with the challenges and problems that SmartBear’s customers are looking to solve most efficiently,” said Justin Teague, President and COO at SmartBear. “With broad go-to market experience having managed multiple, global products, he is positioned to respond to our customers’ changing needs as well as changing market trends. I look forward to him leading the efforts to further penetrate SmartBear’s testing and development product line into the global marketplace.”

For more than 10 years, Lloyd held several product management roles at MKS Inc., before the company was acquired by PTC in 2011. MKS was the developer of an industry-leading platform for software application lifecycle management (ALM). While at MKS, Lloyd developed significant international experience, spending six years in the UK and extensive time in Europe and Asia Pacific as the company established a presence in Germany and Japan. While at PTC, Lloyd led the subscription transition for the ALM business, was a key business sponsor behind PTC’s acquisition of ThingWorx and led the development of strategies for modernizing the business through the introduction of a new SaaS product. He began his career as an embedded software engineer for an aerospace start-up. He holds multiple Agile certifications from the Scrum Alliance.

From 2008-2012, Lloyd served as an Executive Board member of the Waterloo Community Arts Centre in Ontario, Canada. He is currently a judge and mentor for MassChallenge, the most startup-friendly accelerator on the planet.

“Every company has become a software company with teams facing enormous pressure to deliver products more continuously and at higher levels of quality,” said Lloyd. “As a result, the testing tools market is growing at a rapid pace. SmartBear is uniquely positioned with a strong portfolio of products that meet the needs of the entire software team at all layers of the technology stack. I’m committed to helping SmartBear deliver great products that are easy to get started with and help customers on their journey to deliver world class software – while continuing to fuel strong growth with SmartBear’s core test and dev products.”

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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 ...

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.