Skip to main content

Evolutio and Nobl9 Partner to Support Cisco Observability Platform

Nobl9 and Evolutio, formed a strategic partnership to accelerate the adoption of the Cisco Observability Platform by bringing functionality to the Cisco ecosystem faster.

The partnership brings together a blend of Nobl9’s Reliability Center, an advanced software reliability platform, and Evolutio’s observability solutions built for different industry business processes, offering businesses a robust pathway to IT transformation. By integrating Nobl9’s precision in reliability metrics and Service Level Objectives (SLOs) with Evolutio’s methodology for enabling Observability maturity with a Center of Excellence approach, the alliance addresses the critical need for both advanced tools and services that drive executive-level business outcomes in modern enterprise environments.

Evolutio has demonstrated its expertise in the Cisco Observability Platform with custom-built modules that provide business process views. By leveraging Cisco Observability Platform’s unique extensibility, Evolutio has built modules targeting revenue-impacting business flows for fintech, insurance, eCommerce, and manufacturing clients. Nobl9, meanwhile, launched a differentiated reliability and observability module that integrates their award-winning Service Level Objectives-driven platform, allowing Cisco customers to view near real-time and historical reliability of their services. Together, the two companies offer a powerhouse combination of product development and IT strategy that will provide reliability insights as impactful to a CIO as they are to a Site Reliability Engineer.

“Nobl9 and Evolutio have been integral partners in expanding the capabilities of Cisco Full-Stack Observability offerings,” says Carlos Pereira, Fellow and Chief Architect, Cisco. “What they’ve done individually has been incredibly valuable, and we’re looking forward to seeing the results of this collaboration.”

The partnership represents a significant opportunity for both organizations. Nobl9’s monitoring and reliability platform is purpose-built around Service Level Objectives (SLOs). As such, it provides an excellent way for Cisco users to roll monitoring of disparate elements of their services up into dashboards representing a service or product’s customer experience.

“We were impressed the first time we saw how Nobl9 made site reliability simpler and more effective, all at the same time,” says George Nassopoulos, Evolutio’s VP of Strategic Partnerships. “We knew the SLO functionality would be very exciting for our own clients, and it augments Cisco Observability well. Working with Nobl9 is going to help us craft observability views, with SLOs mapped to a client’s digital transformation objectives.”

Evolutio’s long experience working with Cisco, developing client-centric views for various industries, and driving IT strategy and transformation for a myriad of clients, will ensure that the partnership works towards goals that have maximum benefits for the Cisco Observability Platform’s user base.

“Evolutio’s core is IT expertise. Period,” says Jaypal Sethi, Nobl9’s SVP of Business Development. “They know how to build and manage an IT strategy that will take a company from 2004 to 2035, tech-wise. We’re thrilled to be working together and are confident this partnership helps Cisco Full-Stack Observability customers manage their environments.”

The Latest

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

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 ...

Evolutio and Nobl9 Partner to Support Cisco Observability Platform

Nobl9 and Evolutio, formed a strategic partnership to accelerate the adoption of the Cisco Observability Platform by bringing functionality to the Cisco ecosystem faster.

The partnership brings together a blend of Nobl9’s Reliability Center, an advanced software reliability platform, and Evolutio’s observability solutions built for different industry business processes, offering businesses a robust pathway to IT transformation. By integrating Nobl9’s precision in reliability metrics and Service Level Objectives (SLOs) with Evolutio’s methodology for enabling Observability maturity with a Center of Excellence approach, the alliance addresses the critical need for both advanced tools and services that drive executive-level business outcomes in modern enterprise environments.

Evolutio has demonstrated its expertise in the Cisco Observability Platform with custom-built modules that provide business process views. By leveraging Cisco Observability Platform’s unique extensibility, Evolutio has built modules targeting revenue-impacting business flows for fintech, insurance, eCommerce, and manufacturing clients. Nobl9, meanwhile, launched a differentiated reliability and observability module that integrates their award-winning Service Level Objectives-driven platform, allowing Cisco customers to view near real-time and historical reliability of their services. Together, the two companies offer a powerhouse combination of product development and IT strategy that will provide reliability insights as impactful to a CIO as they are to a Site Reliability Engineer.

“Nobl9 and Evolutio have been integral partners in expanding the capabilities of Cisco Full-Stack Observability offerings,” says Carlos Pereira, Fellow and Chief Architect, Cisco. “What they’ve done individually has been incredibly valuable, and we’re looking forward to seeing the results of this collaboration.”

The partnership represents a significant opportunity for both organizations. Nobl9’s monitoring and reliability platform is purpose-built around Service Level Objectives (SLOs). As such, it provides an excellent way for Cisco users to roll monitoring of disparate elements of their services up into dashboards representing a service or product’s customer experience.

“We were impressed the first time we saw how Nobl9 made site reliability simpler and more effective, all at the same time,” says George Nassopoulos, Evolutio’s VP of Strategic Partnerships. “We knew the SLO functionality would be very exciting for our own clients, and it augments Cisco Observability well. Working with Nobl9 is going to help us craft observability views, with SLOs mapped to a client’s digital transformation objectives.”

Evolutio’s long experience working with Cisco, developing client-centric views for various industries, and driving IT strategy and transformation for a myriad of clients, will ensure that the partnership works towards goals that have maximum benefits for the Cisco Observability Platform’s user base.

“Evolutio’s core is IT expertise. Period,” says Jaypal Sethi, Nobl9’s SVP of Business Development. “They know how to build and manage an IT strategy that will take a company from 2004 to 2035, tech-wise. We’re thrilled to be working together and are confident this partnership helps Cisco Full-Stack Observability customers manage their environments.”

The Latest

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

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 ...