Skip to main content

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

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

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

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...