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Observe Announces $115 Million in Series B Financing

Observe has closed a Series B funding round of $115 million led by Sutter Hill Ventures with participation from existing investors Capital One Ventures and Madrona and new investor Snowflake Ventures.

The Series B funding, raised at a valuation 10x higher than the company's Series A round four years ago, promises to further accelerate Observe's growth. In FY2024, ARR increased 171%, TCV increased 194% and NRR, an indication of a product's stickiness, increased to 174% (best-in-class is considered to be 130%). Observe's headcount increased more than 50% and the company is scaling its sales organization as many tech companies pull back.

"Legacy monitoring and APM players, shackled by outdated architectures, are dead companies walking," said Jeremy Burton, CEO at Observe. "As private equity or strategic acquirers strip them down for parts, Observe is taking a new approach designed for today's modern distributed applications and massive data volumes. We're thrilled to have investors who are thinking big and validating Observe's approach in one of the fastest-growing segments in tech."

"We believe Observe is the future of Observability and we're incredibly excited to lead the Series B round," said Mike Speiser, Managing Director at Sutter Hill Ventures. "Observe has built a world class team and delivered a product that is architecturally different to everyone else. The incredible growth in ARR and NRR is testament to the fact that this new architecture is now paying off for their customers."

"At Snowflake we believe there's no such thing as an AI strategy without a data strategy," said Stefan Williams, VP Corporate Development & Snowflake Ventures. "Observe recognized this from the outset and built a data company. Our team has worked closely with Observe as a partner since the company's founding and with this investment, we're bolstering that relationship and emphasizing our belief in Observe as the company enters its next stage of rapid growth."

"Capital One is focused on building seamless customer experiences that make banking and commerce simpler and easier -- wherever those customers are, digital or in-person," said Mark Cauwels, Managing Vice President, Enterprise Platforms Technology, Capital One. "Like many cloud-first organizations, our data volume continues to expand. Observe provides a centralized and pre-correlated data layer that meaningfully organizes telemetry data from many sources at scale, helping drive faster response times."

Observe plans to expand its market presence in North America over the coming year and expects to continue to more than double the size of its business.

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Observe Announces $115 Million in Series B Financing

Observe has closed a Series B funding round of $115 million led by Sutter Hill Ventures with participation from existing investors Capital One Ventures and Madrona and new investor Snowflake Ventures.

The Series B funding, raised at a valuation 10x higher than the company's Series A round four years ago, promises to further accelerate Observe's growth. In FY2024, ARR increased 171%, TCV increased 194% and NRR, an indication of a product's stickiness, increased to 174% (best-in-class is considered to be 130%). Observe's headcount increased more than 50% and the company is scaling its sales organization as many tech companies pull back.

"Legacy monitoring and APM players, shackled by outdated architectures, are dead companies walking," said Jeremy Burton, CEO at Observe. "As private equity or strategic acquirers strip them down for parts, Observe is taking a new approach designed for today's modern distributed applications and massive data volumes. We're thrilled to have investors who are thinking big and validating Observe's approach in one of the fastest-growing segments in tech."

"We believe Observe is the future of Observability and we're incredibly excited to lead the Series B round," said Mike Speiser, Managing Director at Sutter Hill Ventures. "Observe has built a world class team and delivered a product that is architecturally different to everyone else. The incredible growth in ARR and NRR is testament to the fact that this new architecture is now paying off for their customers."

"At Snowflake we believe there's no such thing as an AI strategy without a data strategy," said Stefan Williams, VP Corporate Development & Snowflake Ventures. "Observe recognized this from the outset and built a data company. Our team has worked closely with Observe as a partner since the company's founding and with this investment, we're bolstering that relationship and emphasizing our belief in Observe as the company enters its next stage of rapid growth."

"Capital One is focused on building seamless customer experiences that make banking and commerce simpler and easier -- wherever those customers are, digital or in-person," said Mark Cauwels, Managing Vice President, Enterprise Platforms Technology, Capital One. "Like many cloud-first organizations, our data volume continues to expand. Observe provides a centralized and pre-correlated data layer that meaningfully organizes telemetry data from many sources at scale, helping drive faster response times."

Observe plans to expand its market presence in North America over the coming year and expects to continue to more than double the size of its business.

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Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...