
Kalyan Ramanathan joined AppDynamics as VP of Product Marketing.
Ramanathan brings over 20 years of experience in software and marketing to AppDynamics. He most recently served as CMO at Crittercism, a provider of mobile application performance management (mAPM) solutions. Ramanathan brings to AppDynamics a deep understanding of the mobile ecosystem and the broader IT operations market.
Prior to Crittercism, Ramanathan served as VP of Marketing at Electric Cloud, a DevOps automation leader, and as Senior Director of Product Marketing at Opsware/HP, where he oversaw marketing for HP’s data center automation and application performance management suite. Prior to Opsware, Ramanathan led product marketing and product management at Collation (acquired by IBM) and Portal Software (acquired by Oracle). Ramanathan began his career at Intel and has an MBA from the Stanford Graduate School of Business.
“Today’s businesses depend on software applications to drive growth and efficiencies in the marketplace,” said Ramanathan. “AppDynamics, with its proven, integrated suite of application and mobile performance and analytics solutions, is in a unique position to provide the intelligence to optimize all aspects of application engagement and revenue. I am thrilled to join the AppDynamics team and bring these game-changing solutions to the market.”
“As we continue to transform the enterprise software market with our powerful application intelligence platform, we are scaling up the team with recognized industry leaders that bring a track record of functional and domain-area success,” said Jyoti Bansal, founder and CEO at AppDynamics. “Ramanathan joins us at a time when applications are now central to the business success of the customers we serve, and mobile has reached the tipping point of being critical to the customer experience. I am thrilled to have a stellar and seasoned product marketing executive such as Ramanathan join our executive team to help lead this important effort. He has over 20 years experience in bringing ground-breaking new technologies to market, and that’s exactly what we look forward to him doing here at AppDynamics.”
Randy Gottfried joined AppDynamics as CFO, reporting to founder and CEO Jyoti Bansal. Gottfried will succeed Walter Berger, who resigned late last year.
To assist in the transition, Berger will remain with AppDynamics through the end of March. Gottfried is charged with managing the financial growth strategy and internal operations functions of AppDynamics as it expands globally and continues to rapidly penetrate the $30+ billion IT operations management and analytics markets.
Gottfried is a seasoned technology executive with a proven track record building high-growth businesses, managing rapidly expanding operations, and driving successful initial public offerings. Most recently, Gottfried was CFO and COO of Riverbed Technology, where he worked from from 2004 until 2013. Prior to Riverbed, Gottfried held a variety of senior finance roles at Inktomi and Sybase.
“Everything we do at AppDynamics is oriented to creating a more rewarding customer experience. As we continue to rapidly innovate and serve a much wider set of customers and market segments, Gottfried brings an impeccable track record of scaling large-scale business operations and a wealth of experience in the public markets,” said Jyoti Bansal. “We are thrilled to have Gottfried join us at such a pivotal point in our company’s growth.”
Bansal continued, “On behalf of the entire company, our board and investors, we thank Berger for his valuable counsel and outstanding leadership. He offered us a wealth of experience ensuring AppDynamics’ financial strength and implementing our strategy during a period of exceptional growth. We wish him the very best in the next phase of his career.
“The progress we have made at AppDynamics has been nothing short of phenomenal. I am grateful for the experience along with the relationships I have enjoyed since joining the company” said Berger. “I look forward to observing the company’s continued growth and successfully executing on the strategy we put in place.”
“AppDynamics has created a powerful technology foundation focused on an incredible market opportunity,” said Gottfried. “I’m thrilled and honored to join the team and to help shape the next phase of growth. The pace of innovation here is fierce, the execution world-class, and the quality and culture of the team is an inspiration.”
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 ...