
AppDynamics, a Cisco company, unveiled AppDynamics for Cisco Application Centric Infrastructure (ACI), a monitoring solution with end-to-end transaction tracing and correlated data models that pinpoint which constructs in the network are impacting application performance.
Now network and application teams have a faster path to remediation and for the first time can understand how network policies impact application performance.
Today, AppDynamics is bringing together it’s own application intelligence and Cisco ACI’s software defined networking solution (SDN) - to unlock business value by ensuring business-critical applications run flawlessly with integrated application and network level visibility. With AppDynamics for ACI, Cisco and AppDynamics provide an integrated view from the application code to the underlying network to deliver flawless performance and user experience.
“The running joke in IT is if there’s a problem that can’t be identified ‘it’s gotta be the network’” said Danny Winokur, CPO, AppDynamics. “Combining AppDynamics’ deep application insight with Cisco’s network expertise gives enterprises the fastest root cause analysis, reduced risk of unexpected application outages and greater trust across teams, leading to better customer experiences and business results.”
Only with AppDynamics for Cisco ACI are enterprises able to follow a transaction through the application and deep into the network. By correlating application and network data models, app and network teams have the fastest path to remediation by pinpointing exactly which constructs in the network are impacting application performance. With AppDynamics’ for Cisco ACI, application and network teams benefit from:
Fastest root cause analysis- AppDynamics for ACI empowers operation teams to find the root cause of incidents in minutes, from the application to the network. Teams can now spend time fixing issues instead of endless hours searching for the problem. When the network is at fault, teams can quickly drill down from the application symptoms to the underlying network endpoints to remediate the problem and restore access with minimal disruption to the end user.
Reduced risk of unexpected application outages- When NetOps make any change in the network configuration through APIC, they can now see the exact impact that change in policy has on application performance, providing critical visibility to avoid unexpected slowdowns. This is only possible because NetOps team can now directly see how their changes impact application performance without leaving ACI.
AppDynamics for ACI is available today with an Advanced APM license. Visibility of application node health within ACI is available as a beta.
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 ...