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Wavefront Raises $52M in Series B Funding

Wavefront has secured $52 million in a Series B funding round.

Existing investors Sequoia Capital and Sutter Hill Ventures were joined by new investor Tenaya Capital, and other equity holders. The funding comes as the company is experiencing hyper-growth since its Series A funding, and the company’s valuation increased by 4x from the Series A. The new capital will be used to accelerate research and development to expand its product offerings, as well as expansion of Wavefront’s sales, marketing and support operations across all global regions.

"Cloud-enabled companies adopting Wavefront get crucially valuable insights that no other monitoring platform can offer, so their business experiences less degradation, fewer outages and more customer success," said Pete Cittadini, President & CEO of Wavefront. “We surpassed key milestones this past year, so it became the ideal time to raise this round, and fuel our already impressive adoption into the SaaS 250, as well as into digital enterprises and e-commerce companies that are fully embracing the cloud.”

"In the previous decade, the engineering team at Google faced operational challenges driven by growing complexity," said Bill Coughran, Sequoia partner and former Google SVP of Engineering. "Today a whole new generation of companies are operating at scale and running into these same issues. At Google, we needed to build our own solution. Now companies can just use Wavefront."

“We have been impressed with Wavefront’s innovative technology solutions, category creation leadership and impressive growth,” said Brian Melton, Managing Director at Tenaya Capital. “Tenaya Capital has helped build successful IT infrastructure companies including New Relic, Hortonworks, and Palo Alto Networks, and we are looking forward to accelerating Wavefront’s new phase of global growth via this partnership.”

Any enterprise with modern applications and agile infrastructure built on software - including SaaS offerings, digital enterprise platforms, consumer web platforms (e-commerce sites and mobile apps), and IoT systems - can employ Wavefront to improve its performance, availability and customer experience, and also extend beyond operations management to:

- Prevent, detect and diagnose outages to maintain service continuity.

- Surpass traditional monitoring to manipulate data with powerful analytics in real-time.

- Promote enterprise agility with better capacity planning and resource utilization.

- Eliminate silos and standardize analytics with a unified big data analytics platform across the TechOps, DevOps, and Development functions.

- Gain insights faster about the relationship between device, software, and end user.

-Metrics monitoring as a service is a new and disruptive approach to cloud application monitoring, helping cloud-enabled companies to thrive in the age of big data and the constant need to maintain high performance at scale. It allows users to visualize and query a wide range of metrics, from cloud computing load to application and business performance data. Across every layer of the enterprise, a metrics monitoring platform needs to deliver scale and reliability in real-time. Wavefront’s metrics monitoring service unifies and processes millions of data points per second, delivering insights at the speed of thought, for enterprises at scale.

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Wavefront Raises $52M in Series B Funding

Wavefront has secured $52 million in a Series B funding round.

Existing investors Sequoia Capital and Sutter Hill Ventures were joined by new investor Tenaya Capital, and other equity holders. The funding comes as the company is experiencing hyper-growth since its Series A funding, and the company’s valuation increased by 4x from the Series A. The new capital will be used to accelerate research and development to expand its product offerings, as well as expansion of Wavefront’s sales, marketing and support operations across all global regions.

"Cloud-enabled companies adopting Wavefront get crucially valuable insights that no other monitoring platform can offer, so their business experiences less degradation, fewer outages and more customer success," said Pete Cittadini, President & CEO of Wavefront. “We surpassed key milestones this past year, so it became the ideal time to raise this round, and fuel our already impressive adoption into the SaaS 250, as well as into digital enterprises and e-commerce companies that are fully embracing the cloud.”

"In the previous decade, the engineering team at Google faced operational challenges driven by growing complexity," said Bill Coughran, Sequoia partner and former Google SVP of Engineering. "Today a whole new generation of companies are operating at scale and running into these same issues. At Google, we needed to build our own solution. Now companies can just use Wavefront."

“We have been impressed with Wavefront’s innovative technology solutions, category creation leadership and impressive growth,” said Brian Melton, Managing Director at Tenaya Capital. “Tenaya Capital has helped build successful IT infrastructure companies including New Relic, Hortonworks, and Palo Alto Networks, and we are looking forward to accelerating Wavefront’s new phase of global growth via this partnership.”

Any enterprise with modern applications and agile infrastructure built on software - including SaaS offerings, digital enterprise platforms, consumer web platforms (e-commerce sites and mobile apps), and IoT systems - can employ Wavefront to improve its performance, availability and customer experience, and also extend beyond operations management to:

- Prevent, detect and diagnose outages to maintain service continuity.

- Surpass traditional monitoring to manipulate data with powerful analytics in real-time.

- Promote enterprise agility with better capacity planning and resource utilization.

- Eliminate silos and standardize analytics with a unified big data analytics platform across the TechOps, DevOps, and Development functions.

- Gain insights faster about the relationship between device, software, and end user.

-Metrics monitoring as a service is a new and disruptive approach to cloud application monitoring, helping cloud-enabled companies to thrive in the age of big data and the constant need to maintain high performance at scale. It allows users to visualize and query a wide range of metrics, from cloud computing load to application and business performance data. Across every layer of the enterprise, a metrics monitoring platform needs to deliver scale and reliability in real-time. Wavefront’s metrics monitoring service unifies and processes millions of data points per second, delivering insights at the speed of thought, for enterprises at scale.

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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 ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...