Skip to main content

Nobl9 Raises New Funding

Nobl9 raised $15.8 million from strategic investors ServiceNow and Cisco Investments, and existing investors including Battery Ventures and CRV.

The funding will be used to continue building the best product, servicing customers and educating the community about the power of SLOs.

“The market for SLOs is emerging quickly, and we ended the year quite strong as companies look for efficiencies and ways to do more with less. Our confidence in our ability to execute despite the current market conditions and being able to close our new funding round underscores the confidence that ServiceNow and Cisco see in us,” said Marcin Kurc, Co-founder and CEO, Nobl9. “The unique value we deliver is how we can help companies bridge between business objectives and technology goals.”

The funding highlights the growing demand for a robust market for Service Level Objectives (SLOs) and commitment from ServiceNow and Cisco to work with Nobl9 to help develop it. This comes on the heels of a successful fourth quarter for Nobl9. In fact, SLOs are being used to provide visibility into the use of new technologies. Business teams (executives, manufacturing, R&D, marketing, finance, etc.) are not only increasing their use of SLOs but using SLOs for more than pure IT operations.

“Observability is a highly strategic area for ServiceNow and our customers as they think about accelerating their digital business,” said Pablo Stern, SVP & GM of Technology Workflows at ServiceNow. “Our Lightstep observability business has been a close partner with Nobl9 for years...As we look to extend the value of observability and digital workflows throughout the enterprise, SLOs are a key enabler of the transition to cloud-native technology and practices.”

“Requirements for enterprises to create a scalable relationship between operations and software services while maintaining consistent customer experience and keeping costs at a reasonable level have continued to increase,” said Noah Yago, VP, Corporate Development and Investments, Cisco. “With growing expectations, enterprises are demanding innovative SLO solutions that will help them address these challenges and keep operations running smoothly.”

The Latest

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 ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Nobl9 Raises New Funding

Nobl9 raised $15.8 million from strategic investors ServiceNow and Cisco Investments, and existing investors including Battery Ventures and CRV.

The funding will be used to continue building the best product, servicing customers and educating the community about the power of SLOs.

“The market for SLOs is emerging quickly, and we ended the year quite strong as companies look for efficiencies and ways to do more with less. Our confidence in our ability to execute despite the current market conditions and being able to close our new funding round underscores the confidence that ServiceNow and Cisco see in us,” said Marcin Kurc, Co-founder and CEO, Nobl9. “The unique value we deliver is how we can help companies bridge between business objectives and technology goals.”

The funding highlights the growing demand for a robust market for Service Level Objectives (SLOs) and commitment from ServiceNow and Cisco to work with Nobl9 to help develop it. This comes on the heels of a successful fourth quarter for Nobl9. In fact, SLOs are being used to provide visibility into the use of new technologies. Business teams (executives, manufacturing, R&D, marketing, finance, etc.) are not only increasing their use of SLOs but using SLOs for more than pure IT operations.

“Observability is a highly strategic area for ServiceNow and our customers as they think about accelerating their digital business,” said Pablo Stern, SVP & GM of Technology Workflows at ServiceNow. “Our Lightstep observability business has been a close partner with Nobl9 for years...As we look to extend the value of observability and digital workflows throughout the enterprise, SLOs are a key enabler of the transition to cloud-native technology and practices.”

“Requirements for enterprises to create a scalable relationship between operations and software services while maintaining consistent customer experience and keeping costs at a reasonable level have continued to increase,” said Noah Yago, VP, Corporate Development and Investments, Cisco. “With growing expectations, enterprises are demanding innovative SLO solutions that will help them address these challenges and keep operations running smoothly.”

The Latest

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 ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...