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Nobl9 Launches New Module for Cisco Observability Platform

Nobl9 launched a new module for the Cisco Observability Platform that integrates with Nobl9 Reliability Center.

Nobl9 Reliability Center has several integrations with Cisco products, including Cisco AppDynamics and Cisco ThousandEyes. This new module extends that reach into the Cisco Observability Platform, giving customers visibility into reliability issues across their entire technology stack. The collaboration between these two industry leaders ensures that enterprises leveraging the observability ecosystem available on the Cisco Observability Platform, can now access an end-to-end reliability solution that is robust and cutting-edge.

"The joint approach and close collaboration between Cisco and Nobl9, one of our Full-Stack Observability partners, represents a new reality," said Carlos Pereira, Chief Architect, Cisco. "Bringing new, collective use cases to market and having partners' like Nobl9 expertise as part of the Cisco Observability Platform enhances the opportunity for both partners and Cisco to provide value to customers. This ecosystem is unique, reliable and powerful."

The power of this new module lies in its ability to extract service level metrics from the Cisco Observability Platform. Managers and engineers can consume SLOs in Nobl9 via automated alerting. Full-stack observability (FSO) also displays the SLOs for a consolidated view of reliability and observability in one dashboard.

With this new integration, customers see a holistic view of system reliability, allowing for smooth IT operations, optimized performance, and, most importantly, enhanced end-user experiences. Cisco Full-Stack Observability with all its use cases, already stands out as a leading-edge solution, and introducing the Nobl9 module activates the software reliability use case for customers.

Nobl9 Reliability Center capabilities include the following:

- Reliability experience (RX) – helping engineers and teams become more productive in identifying targets, prescribing SLOs and policies, and automating runbooks for reliability risks.

- SLO-backed operations – continuous monitoring and management systems using SLOs and the ability to receive timely error-budget-backed alerts.

- Reliability insights – instant visibility into the overall health of an organization’s systems and ability to align technology investment with business needs.

Brian Singer, co-founder and CPO of Nobl9, said, "At Nobl9, our mission has always been to elevate the standards of software reliability. Partnering with Cisco is an honor and a testament to our commitment. This module is more than just a tool; it's a vision realized – a vision where reliability isn't an afterthought but an integral part of the digital ecosystem."

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Nobl9 Launches New Module for Cisco Observability Platform

Nobl9 launched a new module for the Cisco Observability Platform that integrates with Nobl9 Reliability Center.

Nobl9 Reliability Center has several integrations with Cisco products, including Cisco AppDynamics and Cisco ThousandEyes. This new module extends that reach into the Cisco Observability Platform, giving customers visibility into reliability issues across their entire technology stack. The collaboration between these two industry leaders ensures that enterprises leveraging the observability ecosystem available on the Cisco Observability Platform, can now access an end-to-end reliability solution that is robust and cutting-edge.

"The joint approach and close collaboration between Cisco and Nobl9, one of our Full-Stack Observability partners, represents a new reality," said Carlos Pereira, Chief Architect, Cisco. "Bringing new, collective use cases to market and having partners' like Nobl9 expertise as part of the Cisco Observability Platform enhances the opportunity for both partners and Cisco to provide value to customers. This ecosystem is unique, reliable and powerful."

The power of this new module lies in its ability to extract service level metrics from the Cisco Observability Platform. Managers and engineers can consume SLOs in Nobl9 via automated alerting. Full-stack observability (FSO) also displays the SLOs for a consolidated view of reliability and observability in one dashboard.

With this new integration, customers see a holistic view of system reliability, allowing for smooth IT operations, optimized performance, and, most importantly, enhanced end-user experiences. Cisco Full-Stack Observability with all its use cases, already stands out as a leading-edge solution, and introducing the Nobl9 module activates the software reliability use case for customers.

Nobl9 Reliability Center capabilities include the following:

- Reliability experience (RX) – helping engineers and teams become more productive in identifying targets, prescribing SLOs and policies, and automating runbooks for reliability risks.

- SLO-backed operations – continuous monitoring and management systems using SLOs and the ability to receive timely error-budget-backed alerts.

- Reliability insights – instant visibility into the overall health of an organization’s systems and ability to align technology investment with business needs.

Brian Singer, co-founder and CPO of Nobl9, said, "At Nobl9, our mission has always been to elevate the standards of software reliability. Partnering with Cisco is an honor and a testament to our commitment. This module is more than just a tool; it's a vision realized – a vision where reliability isn't an afterthought but an integral part of the digital ecosystem."

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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

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 ...