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Cisco Announces OpenTelemetry-Based Integration of AppDynamics and ThousandEyes

Cisco announced a new OpenTelemetry-based integration of Cisco AppDynamics application observability and ThousandEyes network intelligence. This integration is bi-directional, with data exchanged simultaneously between both solutions, in real time.

Cisco’s solution provides insights into both the application and the network, with internet connectivity metrics for application operations and real-time application dependency mapping for network operations. The solution is automatically available without further installations, drives powerful customer digital experience monitoring from the combined application and network vantage points, and delivers differentiated business outcomes. It significantly reduces Mean Time to Resolution (MTTR), closes observability gaps with actionable recommendations and helps teams prioritize network remediation based on business impact/criticality.

“Our customers are committed to delivering the best digital experiences for their businesses. However, as digital experiences get simpler for the consumers, they get more complex for companies,” said Liz Centoni, EVP, Chief Strategy Officer and GM of Applications at Cisco. “Customer Digital Experience Monitoring seamlessly brings together our industry leading application observability and our unparalleled network intelligence, so that customers can uncover all the application and network dependencies not visible before.”

Cisco’s Customer Digital Experience Monitoring solution also allows organizations to break down the barriers to meaningful collaboration that can exist between Infrastructure & Operations teams, Application Developers, SecOps and DevSecOps teams; all of whom now need to work more closely together to ensure success. This helps organizations to move fast and focus on what matters most – driving revenue, elevating user experience, managing risk and reducing costs all while reducing tool sprawl.

This bi-directional integration further strengthens Cisco’s ability to deliver customer digital experience monitoring especially when coupled with the industry leading Real User Monitoring (RUM) that Smartlook offers.

In April Cisco announced the intention to acquire Smartlook, a company that excels at analyzing and contextualizing end user digital behavior. Smartlook, the bi-directional integration and the innovations Cisco continues to deliver fulfill the expectations customers have to be able to enjoy end-to-end monitoring of an experience for user accessing applications and services hosted anywhere from any location using any device.

Cisco remains committed to simplifying the buying experience as well. In February Cisco Business Risk Observability was launched and is included in the Cisco FSO Essentials bundle, which also includes critical full stack observability capabilities.

In addition, the company is also announcing the Cisco FSO Advantage bundle. This bundle adds real-time ingestion of network intelligence metrics into application observability and real-time application dependencies for network operations.

This offer helps customers deliver the end-to-end visibility, correlated insights, and recommended actions, tied to business context, across application monitoring, application security, the network and the internet. Only Cisco can combine the required vantage points of applications, networking and security at scale that can power true Full-Stack Observability.

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Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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Cisco Announces OpenTelemetry-Based Integration of AppDynamics and ThousandEyes

Cisco announced a new OpenTelemetry-based integration of Cisco AppDynamics application observability and ThousandEyes network intelligence. This integration is bi-directional, with data exchanged simultaneously between both solutions, in real time.

Cisco’s solution provides insights into both the application and the network, with internet connectivity metrics for application operations and real-time application dependency mapping for network operations. The solution is automatically available without further installations, drives powerful customer digital experience monitoring from the combined application and network vantage points, and delivers differentiated business outcomes. It significantly reduces Mean Time to Resolution (MTTR), closes observability gaps with actionable recommendations and helps teams prioritize network remediation based on business impact/criticality.

“Our customers are committed to delivering the best digital experiences for their businesses. However, as digital experiences get simpler for the consumers, they get more complex for companies,” said Liz Centoni, EVP, Chief Strategy Officer and GM of Applications at Cisco. “Customer Digital Experience Monitoring seamlessly brings together our industry leading application observability and our unparalleled network intelligence, so that customers can uncover all the application and network dependencies not visible before.”

Cisco’s Customer Digital Experience Monitoring solution also allows organizations to break down the barriers to meaningful collaboration that can exist between Infrastructure & Operations teams, Application Developers, SecOps and DevSecOps teams; all of whom now need to work more closely together to ensure success. This helps organizations to move fast and focus on what matters most – driving revenue, elevating user experience, managing risk and reducing costs all while reducing tool sprawl.

This bi-directional integration further strengthens Cisco’s ability to deliver customer digital experience monitoring especially when coupled with the industry leading Real User Monitoring (RUM) that Smartlook offers.

In April Cisco announced the intention to acquire Smartlook, a company that excels at analyzing and contextualizing end user digital behavior. Smartlook, the bi-directional integration and the innovations Cisco continues to deliver fulfill the expectations customers have to be able to enjoy end-to-end monitoring of an experience for user accessing applications and services hosted anywhere from any location using any device.

Cisco remains committed to simplifying the buying experience as well. In February Cisco Business Risk Observability was launched and is included in the Cisco FSO Essentials bundle, which also includes critical full stack observability capabilities.

In addition, the company is also announcing the Cisco FSO Advantage bundle. This bundle adds real-time ingestion of network intelligence metrics into application observability and real-time application dependencies for network operations.

This offer helps customers deliver the end-to-end visibility, correlated insights, and recommended actions, tied to business context, across application monitoring, application security, the network and the internet. Only Cisco can combine the required vantage points of applications, networking and security at scale that can power true Full-Stack Observability.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.