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Observe Raises $156M in Series C Funding

Observe closed $156 million in a Series C funding round led by Sutter Hill Ventures with participation from Madrona Ventures, Alumni Ventures, Snowflake Ventures and Capital One Ventures.

Observe's platform consists of three core components:

  • O11y Data Lake™: A highly scalable, low-cost data lake optimized for observability that streams logs, metrics, traces, and events in real-time, using open standards like OpenTelemetry and Apache Iceberg.
  • O11y Knowledge Graph™: A real-time contextual model of the user's entire system, mapping services, resources, users, incidents, and deployments.
  • O11y AI SRE™: Agentic AI that doesn't just detect issues, but starts with generating better instrumentation, assisting complex troubleshooting and closing the loop.

"System resilience begins and ends with full-stack observability. It is foundational for AI, provides visibility into resource utilization and is part of the magic of powering personalized customer experiences," said Sean Leach, Partner, Capital One Ventures. "Observe is executing on a bold vision for modern observability, and we're continuing to invest to fuel their growth as they meet demand."

"Observe understood from the start that AI is only as powerful as the data behind it," said Harsha Kapre, Director, Snowflake Ventures. "As AI reshapes the future of software development, Observe is uniquely positioned to help enterprises build more reliable agents and applications while containing costs at scale. This investment deepens our partnership and underscores our belief in their long-term vision."

With this Series C funding, Observe will continue investing in product development, AI innovation, and global hiring. As enterprises adapt to a new world where every system, service, and agent generates actionable data, Observe is emerging as the leader in AI-powered observability at cloud scale.

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Observe Raises $156M in Series C Funding

Observe closed $156 million in a Series C funding round led by Sutter Hill Ventures with participation from Madrona Ventures, Alumni Ventures, Snowflake Ventures and Capital One Ventures.

Observe's platform consists of three core components:

  • O11y Data Lake™: A highly scalable, low-cost data lake optimized for observability that streams logs, metrics, traces, and events in real-time, using open standards like OpenTelemetry and Apache Iceberg.
  • O11y Knowledge Graph™: A real-time contextual model of the user's entire system, mapping services, resources, users, incidents, and deployments.
  • O11y AI SRE™: Agentic AI that doesn't just detect issues, but starts with generating better instrumentation, assisting complex troubleshooting and closing the loop.

"System resilience begins and ends with full-stack observability. It is foundational for AI, provides visibility into resource utilization and is part of the magic of powering personalized customer experiences," said Sean Leach, Partner, Capital One Ventures. "Observe is executing on a bold vision for modern observability, and we're continuing to invest to fuel their growth as they meet demand."

"Observe understood from the start that AI is only as powerful as the data behind it," said Harsha Kapre, Director, Snowflake Ventures. "As AI reshapes the future of software development, Observe is uniquely positioned to help enterprises build more reliable agents and applications while containing costs at scale. This investment deepens our partnership and underscores our belief in their long-term vision."

With this Series C funding, Observe will continue investing in product development, AI innovation, and global hiring. As enterprises adapt to a new world where every system, service, and agent generates actionable data, Observe is emerging as the leader in AI-powered observability at cloud scale.

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UK IT leaders are reaching a critical inflection point in how they manage observability, according to research from LogicMonitor. As infrastructure complexity grows and AI adoption accelerates, fragmented monitoring environments are driving organizations to rethink their operational strategies and consolidate tools ...

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AI can't fix broken data. CIOs who modernize revenue data governance unlock predictable growth-those who don't risk millions in failed AI investments. For decades, CIOs kept the lights on. Revenue was someone else's problem, owned by sales, led by the CRO, measured by finance. Those days are behind us ...

Over the past few years, organizations have made enormous strides in enabling remote and hybrid work. But the foundational technologies powering today's digital workplace were never designed for the volume, velocity, and complexity that is coming next. By 2026 and beyond, three forces — 5G, the metaverse, and edge AI — will fundamentally reshape how people connect, collaborate, and access enterprise resources ... The businesses that begin preparing now will gain a competitive head start. Those that wait will find themselves trying to secure environments that have already outgrown their architecture ...

Ask where enterprise AI is making its most decisive impact, and the answer might surprise you: not marketing, not finance, not customer experience. It's IT. Across three years of industry research conducted by Digitate, one constant holds true is that IT is both the testing ground and the proving ground for enterprise AI. Last year, that position only strengthened ...

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Every enterprise technology conversation right now circles back to AI agents. And for once, the excitement isn't running too far ahead of reality. According to a Zapier survey of over 500 enterprise leaders, 72% of enterprises are already using or testing AI agents, and 84% plan to increase their investment over the next 12 months. Those numbers are big. But they also raise a question that doesn't get asked enough: what exactly are companies doing with these agents, and are they actually getting value from them? ...

Many organizations still rely on reactive availability models, taking action only after an outage occurs. However, as applications become more complex, this approach often leads to delayed detection, prolonged disruption, and incomplete recovery. Monitoring is evolving from a basic operational function into a foundational capability for sustaining availability in modern environments ...

In MEAN TIME TO INSIGHT Episode 22, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses DNS Security ... 

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