Observe, Inc.

What happens when an impatient technologist who cares deeply about people takes on the challenge of observability at scale? Meet Qi Jin, President of Engineering & Products at Observe, Inc. Qi refuses to settle for “good enough.” His career has been defined by reimagining how massive, complex systems can be built, scaled, and operated, while making life better for the engineers who run them. From pioneering large-scale data infrastructure at Google, to helping Stripe’s payment volume grow 6× to nearly $1 trillion while expanding the core payments teams from 80 to 1,000 engineers, Qi has always worked to remove friction so engineers can focus on solving real problems, not wrestling with their tools. At Observe, that same mindset fuels our mission: to make observability at scale not just powerful, but human-friendly, so teams can see, understand, and act faster when it matters most. On September 4th, Qi will share lessons learned in our Masterclass in Observability at Scale, where he’ll share practical insights from designing systems that deliver observability at scale and from building AI agents that reduce toil - covering the design principles, tradeoffs, and human factors that make it possible. #observability #masterclass #ai

LLM applications fail differently from traditional systems: plausible but incorrect outputs, opaque multi-step reasoning, and unpredictable token costs make debugging difficult with standard tools. As AI applications become core to customer-facing workflows, we need observability tools that go beyond traditional measures of system health to evaluate model behavior and analyze token usage as well. Tune in on LinkedIn Live on Thursday, August 7th at 10 AM PT for a presentation and demo on how Observe enables LLM Observability at scale. #AI #LLMObservability

Congratulation to our friends at Observe, Inc. on their Series C investment raise. RelationalAI has been using Observe for over a year and could not be happier for adopting the toolchain. It is a truly hassle free observability solution. Highly reliable service, no cost over runs that needs constant monitoring and OPAL is a pleasure to use. Observe has become one stop shop for all our diagnostics and analytical needs. Really happy to see the market recognize their disruptive power in the Observability space. https://lnkd.in/gHmTQSvi

We are wrapping up an incredible week Observe today! Someone asked me if our team was celebrating the funding during the week and my immediate answer was "no". Because all week our team has been laser focused on closing out Q2 strong...a blowout quarter that puts us wayyy ahead of plan for the year. The funding is a great indicator that our investors and the broader market sees value in what we are doing and believes in our team. But we celebrate each and every one of our customer wins more. And now we finally take a moment to reflect on how far we've come, feel the momentum and feel proud to be part of this winning team #startups #funding

Congrats to our friends at Observe, Inc. on their Series C fundraise! We run predictive machine learning at scale at Tecton, where observability is mission-critical. A year ago, we moved off AWS-managed OpenSearch because it was slow, unreliable, and expensive. We switched to Observe, and the difference has been night and day: faster, more reliable, and surprisingly cost-effective. Since then, Observe has ranked as our top internal tool, as voted on by our team in two straight engineering surveys. We love the product and plan to use it for the long haul! https://lnkd.in/grDgFC9j

So you've been vibe coding. But you're still on call. And it sucks more than ever because now you’re debugging AI generated code. How do we reduce operational toil when it comes to production systems? I’m calling it the Vibe Loop: A tight, AI-native feedback loop between writing code, observing it in production, learning from it, and improving it fast. Its what happens when your codegen tools, your infrastructure, telemetry, and AI agents close the loop from writing code to investigating incidents to continuous improvement - without you having to tab between five dashboards in the middle of the night. It’s not a tool. It’s a new model for AI native reliability engineering. One where: 1. O11y AI agent helps instrument your code, standardizing on OTel- right in Cursor, Augment Code etc 2. AI SRE agent assists incident investigations and suggests code fixes 3. Usage monitoring agent continuously monitors usage in the background and suggests what logs to add/drop over time Blog link in comments #ai #reliability #sre #opentelemetry

Observe continues to adapt to the changing world of software observability

Legacy observability tools weren’t built for this era. Meaning AI-native observability is no longer optional — it’s the only way forward. Today, Observe, Inc. announced its $156M Series C to help advance a bold new model of observability — where systems not only detect problems, but understand and act on them autonomously. Observe’s AI-SRE, which understands, plans, and acts, is changing how modern enterprises detect and resolve incidents across increasingly complex systems by delivering unified telemetry, context-aware investigation, and autonomous action. We’ve been proud partners from the early days, hence why we are tripling down on our investment in this round. This is what the next era of observability looks like! Read more about what Observe is up to here! Jeremy Burton Sabrina Albert (Wu)

Proud to support Observe, Inc. and CEO Jeremy Burton as they enter their next chapter of growth with a $156M Series C. Big things ahead! Built on Snowflake, Observe uses a smart mix of data lake technology, a knowledge graph, and agentic AI workflows to help developers troubleshoot faster and reduce operational costs. More on their story here: 👉  https://bit.ly/46vpi21

🚀 We just raised a $156M Series C to reshape software development for the AI age, through observability. The need for scalable, cost-efficient observability has never been greater. Over the past year, Observe has grown to: • 3x revenue • 2x our enterprise customer base • 3x monthly active users We’re excited to help our users scale beyond what traditional observability tools can provide through Observe’s differentiated approach: • highly scalable, low-cost data lake for telemetry data • knowledge graph, providing real-time context for the user’s entire system • AI SRE to enable faster diagnosis and root cause analysis 💚 Big thanks to our customers, our team, and our investors Sutter Hill Ventures, Madrona, Alumni Ventures, Snowflake, and Capital One for their continued support! #observability #ai #developers #sre #startups