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PagerDuty Names New CEO

PagerDuty announced the appointment of Jennifer Tejada as CEO and a member of the board.

Tejada previously served as President and CEO of Keynote Systems, a mobile and web cloud testing and monitoring company acquired by Dynatrace. Tejada’s strategy, operations, and go-to-market background complements that of previous CEO and co-founder Alex Solomon, who will remain on the board and executive team, focusing on product strategy.

PagerDuty was founded by Solomon, Andrew Miklas and Baskar Puvanathasan in 2009 with the vision of disrupting the market with a de facto incident management platform to help organizations accelerate their digital transformation. Under Solomon’s leadership, PagerDuty has rapidly become one of the fastest growing SaaS companies and was recently honored as a Bay Area News Group Top Workplaces 2016. With the addition of Tejada to the PagerDuty team, Solomon will continue to lead the company’s product strategy as chief technology officer. He will also remain on the board of directors.

“I am excited to welcome Jennifer to PagerDuty,” said Solomon, co-founder and CTO of PagerDuty. “Jennifer is clearly the best person to lead PagerDuty as we scale the business through product innovation in new markets. A champion of customer experience, Jennifer brings depth in building markets, driving operational excellence and leading high-performing teams, with breadth in innovating products and services that support enterprises in digital transformation. Jennifer’s leadership enables me to invest more time in innovative customer solutions, and I am excited to partner with her on PagerDuty’s product and growth strategy.”

Tejada joins PagerDuty with nearly 20 years of experience growing highly-respected, global technology companies by driving innovation in product development, marketing, sales, strategy, and culture. Prior to her leadership role at Keynote, Tejada was EVP and Chief Strategy Officer of Mincom, a $200M plus global enterprise application software company. She also held senior positions with Fortune 1000 software and consumer products companies including Procter & Gamble and i2 Technologies. She currently serves on the board of Puppet.

“PagerDuty’s market opportunity is huge as it becomes the obvious choice for enterprises looking for validated and agile solutions to help them succeed with their strategic digital initiatives. I have been extremely impressed by Alex, the team and the business they have built thus far, and I am honored to be entrusted to lead PagerDuty during this exciting time,” said Tejada. “PagerDuty delivers products loved by DevOps, IT Ops and helpdesk teams alike, empowering leading brands and their employees to leverage digital disruption to their advantage and acquire a competitive edge to deliver rapid growth. I look forward to working alongside PagerDuty’s high caliber team, digital network of partners, and customers to push the boundaries of innovation.”

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PagerDuty Names New CEO

PagerDuty announced the appointment of Jennifer Tejada as CEO and a member of the board.

Tejada previously served as President and CEO of Keynote Systems, a mobile and web cloud testing and monitoring company acquired by Dynatrace. Tejada’s strategy, operations, and go-to-market background complements that of previous CEO and co-founder Alex Solomon, who will remain on the board and executive team, focusing on product strategy.

PagerDuty was founded by Solomon, Andrew Miklas and Baskar Puvanathasan in 2009 with the vision of disrupting the market with a de facto incident management platform to help organizations accelerate their digital transformation. Under Solomon’s leadership, PagerDuty has rapidly become one of the fastest growing SaaS companies and was recently honored as a Bay Area News Group Top Workplaces 2016. With the addition of Tejada to the PagerDuty team, Solomon will continue to lead the company’s product strategy as chief technology officer. He will also remain on the board of directors.

“I am excited to welcome Jennifer to PagerDuty,” said Solomon, co-founder and CTO of PagerDuty. “Jennifer is clearly the best person to lead PagerDuty as we scale the business through product innovation in new markets. A champion of customer experience, Jennifer brings depth in building markets, driving operational excellence and leading high-performing teams, with breadth in innovating products and services that support enterprises in digital transformation. Jennifer’s leadership enables me to invest more time in innovative customer solutions, and I am excited to partner with her on PagerDuty’s product and growth strategy.”

Tejada joins PagerDuty with nearly 20 years of experience growing highly-respected, global technology companies by driving innovation in product development, marketing, sales, strategy, and culture. Prior to her leadership role at Keynote, Tejada was EVP and Chief Strategy Officer of Mincom, a $200M plus global enterprise application software company. She also held senior positions with Fortune 1000 software and consumer products companies including Procter & Gamble and i2 Technologies. She currently serves on the board of Puppet.

“PagerDuty’s market opportunity is huge as it becomes the obvious choice for enterprises looking for validated and agile solutions to help them succeed with their strategic digital initiatives. I have been extremely impressed by Alex, the team and the business they have built thus far, and I am honored to be entrusted to lead PagerDuty during this exciting time,” said Tejada. “PagerDuty delivers products loved by DevOps, IT Ops and helpdesk teams alike, empowering leading brands and their employees to leverage digital disruption to their advantage and acquire a competitive edge to deliver rapid growth. I look forward to working alongside PagerDuty’s high caliber team, digital network of partners, and customers to push the boundaries of innovation.”

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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.