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Cisco Observability Platform Adds DEX with RUM and Other New Capabilities

Cisco announced a series of new solutions - enriched by business context - on the Cisco Observability Platform, to help customers deliver secure and performant user and application experience.

- Digital Experience Monitoring (DEM) for greater visibility and insight into user behavior: With application experience expectations at an all-time high, technologists can now leverage new Digital Experience Monitoring (DEM) capabilities for both hybrid and cloud environments. The new DEM application includes Real User Monitoring (RUM) and Session Replay modules for deep insights into browser and mobile applications performance and efficient resolution of session-level issues. In addition, integrations with Cisco ThousandEyes and Cisco Accedian empower applications and network teams with the insights into service delivery required to identify whether the root cause of impacted digital experience is the application, network or cloud infrastructure.

- Observability for Kubernetes workloads, powered by extended Berkeley Packet Filters (eBPF) technology: Cisco offers observability for Kubernetes workloads on the Cisco Observability Platform, using the powerful, lightweight Linux kernel utility, extended Berkeley Packet Filters (eBPF). Operating at the kernel level allows operators access to granular visibility into network activity, resource utilization, application dependencies and misconfigurations impacting network performance, without the need for multiple tools, cross-team collaboration and manual dependency mapping.

- Unified Observability Experience for increased application insights: Cisco is delivering a unified experience across its observability portfolio, with new capabilities across Cisco AppDynamics and the Cisco Observability Platform. Using a single account and shared context, the unified observability experience arms operators with capabilities including Log Analytics, to search with context and improved log storage; and Core Web Vitals, providing front-end application owners the golden signals to keep their web pages from being de-ranked for poor user experience.

- Natural Language Interface, powered by Generative AI: As part of Cisco's continued expansion in innovations powered by Generative AI, the Cisco Observability Platform now offers a natural language interface for troubleshooting. Operators can use conversational dialogues instead of a structured query language to perform common tasks during troubleshooting, thereby increasing productivity.

"These latest innovations further boost the core capabilities of the Cisco Observability Platform, empowering our customers with better visibility, insights and actions across domains than ever before," said Ronak Desai, Senior Vice President and General Manager, Cisco AppDynamics and Full-Stack Observability. "Cisco is uniquely positioned to deliver all the benefits of observability in a unified platform to support our customers' digital ecosystems."

In addition, Cisco is announcing:

- Cisco AIOps for Cisco Full-Stack Observability for actionable insights that improve IT operations: The new Cisco AIOps application simplifies real-time business health monitoring and significantly reduces noise from events and alerts to automate IT processes and keep operations teams productive and responsive. The application unifies data from Cisco AppDynamics, Cisco ThousandEyes, Cisco DNA Center, VMWare, Zabbix and ServiceNow (ITSM, ITOM and CMDB). It is uniquely positioned having been built on the Cisco Observability Platform, which supports logs in addition to alerts, events and metrics. It also provides dynamic thresholds-based alerting on metrics and events and multiple anomaly-detection approaches.

- Data Security Posture Management (DSPM) Observability: The introduction of Data Security Posture Management (DSPM) Observability to Cisco's Business Risk Observability solution delivers real-time and automated data discovery, classification, policy definition and compliance visibility for sensitive data, in addition to visualizing and prioritizing attack surface.

- New Partner Modules: Continuing the momentum of creating an observability ecosystem with its global partners across categories including AIOps, MLOps, networking, infrastructure observability and business insights, Cisco unveiled a series of new partner modules on the Cisco Observability Platform:

Aporia – Machine Learning Monitoring.
CloudFabrix – Asset Intelligence, Operational Intelligence and Infrastructure Observability.
Komodor – Kubernetes Change Management.
Perform IT – AS400 Monitoring and I4Cube business performance.
SoftServe – Operational Intelligence for Oilfields.

Availability:

Digital Experience Monitoring (DEM) application with Browser Real-User Monitoring (Generally Available)

Mobile Real-User Monitoring (Pre-Announce), and Session Replay (Generally Available) capabilities.

Integration with Cisco Accedian (Pre-Announce)

Integration with Cisco ThousandEyes (Pre-Announce)

Observability for Kubernetes workloads powered by eBPF (Generally Available)

Unified Observability Experience – Log Analytics (Generally Available) and Core Web Vitals (Pre-Announce)

GenAI-driven Natural Language Interface (Generally Available)

Cisco AIOps for Cisco Full-Stack Observability (Generally Available)

Data Security Posture Management (DSPM) Observability (Pre-Announce)

Partner Modules on the Cisco Observability Platform (Generally Available)

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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 ...

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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 ...

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Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

Cisco Observability Platform Adds DEX with RUM and Other New Capabilities

Cisco announced a series of new solutions - enriched by business context - on the Cisco Observability Platform, to help customers deliver secure and performant user and application experience.

- Digital Experience Monitoring (DEM) for greater visibility and insight into user behavior: With application experience expectations at an all-time high, technologists can now leverage new Digital Experience Monitoring (DEM) capabilities for both hybrid and cloud environments. The new DEM application includes Real User Monitoring (RUM) and Session Replay modules for deep insights into browser and mobile applications performance and efficient resolution of session-level issues. In addition, integrations with Cisco ThousandEyes and Cisco Accedian empower applications and network teams with the insights into service delivery required to identify whether the root cause of impacted digital experience is the application, network or cloud infrastructure.

- Observability for Kubernetes workloads, powered by extended Berkeley Packet Filters (eBPF) technology: Cisco offers observability for Kubernetes workloads on the Cisco Observability Platform, using the powerful, lightweight Linux kernel utility, extended Berkeley Packet Filters (eBPF). Operating at the kernel level allows operators access to granular visibility into network activity, resource utilization, application dependencies and misconfigurations impacting network performance, without the need for multiple tools, cross-team collaboration and manual dependency mapping.

- Unified Observability Experience for increased application insights: Cisco is delivering a unified experience across its observability portfolio, with new capabilities across Cisco AppDynamics and the Cisco Observability Platform. Using a single account and shared context, the unified observability experience arms operators with capabilities including Log Analytics, to search with context and improved log storage; and Core Web Vitals, providing front-end application owners the golden signals to keep their web pages from being de-ranked for poor user experience.

- Natural Language Interface, powered by Generative AI: As part of Cisco's continued expansion in innovations powered by Generative AI, the Cisco Observability Platform now offers a natural language interface for troubleshooting. Operators can use conversational dialogues instead of a structured query language to perform common tasks during troubleshooting, thereby increasing productivity.

"These latest innovations further boost the core capabilities of the Cisco Observability Platform, empowering our customers with better visibility, insights and actions across domains than ever before," said Ronak Desai, Senior Vice President and General Manager, Cisco AppDynamics and Full-Stack Observability. "Cisco is uniquely positioned to deliver all the benefits of observability in a unified platform to support our customers' digital ecosystems."

In addition, Cisco is announcing:

- Cisco AIOps for Cisco Full-Stack Observability for actionable insights that improve IT operations: The new Cisco AIOps application simplifies real-time business health monitoring and significantly reduces noise from events and alerts to automate IT processes and keep operations teams productive and responsive. The application unifies data from Cisco AppDynamics, Cisco ThousandEyes, Cisco DNA Center, VMWare, Zabbix and ServiceNow (ITSM, ITOM and CMDB). It is uniquely positioned having been built on the Cisco Observability Platform, which supports logs in addition to alerts, events and metrics. It also provides dynamic thresholds-based alerting on metrics and events and multiple anomaly-detection approaches.

- Data Security Posture Management (DSPM) Observability: The introduction of Data Security Posture Management (DSPM) Observability to Cisco's Business Risk Observability solution delivers real-time and automated data discovery, classification, policy definition and compliance visibility for sensitive data, in addition to visualizing and prioritizing attack surface.

- New Partner Modules: Continuing the momentum of creating an observability ecosystem with its global partners across categories including AIOps, MLOps, networking, infrastructure observability and business insights, Cisco unveiled a series of new partner modules on the Cisco Observability Platform:

Aporia – Machine Learning Monitoring.
CloudFabrix – Asset Intelligence, Operational Intelligence and Infrastructure Observability.
Komodor – Kubernetes Change Management.
Perform IT – AS400 Monitoring and I4Cube business performance.
SoftServe – Operational Intelligence for Oilfields.

Availability:

Digital Experience Monitoring (DEM) application with Browser Real-User Monitoring (Generally Available)

Mobile Real-User Monitoring (Pre-Announce), and Session Replay (Generally Available) capabilities.

Integration with Cisco Accedian (Pre-Announce)

Integration with Cisco ThousandEyes (Pre-Announce)

Observability for Kubernetes workloads powered by eBPF (Generally Available)

Unified Observability Experience – Log Analytics (Generally Available) and Core Web Vitals (Pre-Announce)

GenAI-driven Natural Language Interface (Generally Available)

Cisco AIOps for Cisco Full-Stack Observability (Generally Available)

Data Security Posture Management (DSPM) Observability (Pre-Announce)

Partner Modules on the Cisco Observability Platform (Generally Available)

The Latest

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 ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...