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Cisco Launches AppDynamics Cloud

Cisco announced the launch of AppDynamics Cloud, which enables delivery of exceptional digital experiences by correlating telemetry data from across any cloud environment at massive scale.

AppDynamics Cloud leverages cloud-native observability to remediate application performance issues with business context and insights-driven actions.

“AppDynamics Cloud delivers power and usability in a single, intuitive interface. It puts the focus where it needs to be—on 360-degree visibility and insights, and the ability to take action that leads to extraordinary application experiences every time,” said Liz Centoni, EVP, Chief Strategy Officer, GM of Applications.

AppDynamics Cloud maximizes business outcomes and customer experiences by continuously optimizing cloud-native applications. It accelerates detection and resolution of performance issues, before they impact the business or the brand, with intelligent operations. Investment protection is derived from continuous data integrations with OpenTelemetry standards and technology partnerships with cloud solutions and providers.

The platform enables collaboration across teams including DevOps, site reliability engineers (SREs), and other key business stakeholders to achieve common benchmarks like service-level objectives (SLOs) and organizational KPIs. While many organizations still run their mission-critical and revenue-generating systems with traditional applications, modern business apps are increasingly built using DevOps initiatives and must support distributed architectures and services. This pandemic-accelerated trend has spawned an end-to-end experience revolution among consumers and end users, and hybrid work is contributing exponential momentum.

To deliver the consistent, reliable digital experiences that consumers and end users now demand, IT teams must monitor and manage a dynamic set of application dependencies across a mix of infrastructure, microservices, containers, and APIs using home-grown IT stacks, multiple clouds, SaaS services, and security solutions. Traditional monitoring approaches break down in this vastly complex and dynamic ecosystem.

AppDynamics Cloud seamlessly ingests the deluge of metrics, events, logs, and traces (MELT) generated in this environment—including network, databases, storage, containers, security, and cloud services—to make sense of the current state of the entire IT stack all the way to the end user. Actions can then be taken to optimize costs, maximize transaction revenue, and secure user and organizational data.

“Built from the ground up with cloud-native observability, AppDynamics Cloud is about real outcomes, so you can fix issues when they arise—or even before they happen—and ensure digital services offer exactly what users want,” said Centoni.

Current AppDynamics customers can upgrade to AppDynamics Cloud and leverage their existing application performance monitoring (APM) agents, or feed both solutions concurrently. AppDynamics Cloud supports cloud-native, managed Kubernetes environments on Amazon Web Services (AWS), with future expansion to Microsoft Azure, Google Cloud Platform, and other cloud providers.

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Cisco Launches AppDynamics Cloud

Cisco announced the launch of AppDynamics Cloud, which enables delivery of exceptional digital experiences by correlating telemetry data from across any cloud environment at massive scale.

AppDynamics Cloud leverages cloud-native observability to remediate application performance issues with business context and insights-driven actions.

“AppDynamics Cloud delivers power and usability in a single, intuitive interface. It puts the focus where it needs to be—on 360-degree visibility and insights, and the ability to take action that leads to extraordinary application experiences every time,” said Liz Centoni, EVP, Chief Strategy Officer, GM of Applications.

AppDynamics Cloud maximizes business outcomes and customer experiences by continuously optimizing cloud-native applications. It accelerates detection and resolution of performance issues, before they impact the business or the brand, with intelligent operations. Investment protection is derived from continuous data integrations with OpenTelemetry standards and technology partnerships with cloud solutions and providers.

The platform enables collaboration across teams including DevOps, site reliability engineers (SREs), and other key business stakeholders to achieve common benchmarks like service-level objectives (SLOs) and organizational KPIs. While many organizations still run their mission-critical and revenue-generating systems with traditional applications, modern business apps are increasingly built using DevOps initiatives and must support distributed architectures and services. This pandemic-accelerated trend has spawned an end-to-end experience revolution among consumers and end users, and hybrid work is contributing exponential momentum.

To deliver the consistent, reliable digital experiences that consumers and end users now demand, IT teams must monitor and manage a dynamic set of application dependencies across a mix of infrastructure, microservices, containers, and APIs using home-grown IT stacks, multiple clouds, SaaS services, and security solutions. Traditional monitoring approaches break down in this vastly complex and dynamic ecosystem.

AppDynamics Cloud seamlessly ingests the deluge of metrics, events, logs, and traces (MELT) generated in this environment—including network, databases, storage, containers, security, and cloud services—to make sense of the current state of the entire IT stack all the way to the end user. Actions can then be taken to optimize costs, maximize transaction revenue, and secure user and organizational data.

“Built from the ground up with cloud-native observability, AppDynamics Cloud is about real outcomes, so you can fix issues when they arise—or even before they happen—and ensure digital services offer exactly what users want,” said Centoni.

Current AppDynamics customers can upgrade to AppDynamics Cloud and leverage their existing application performance monitoring (APM) agents, or feed both solutions concurrently. AppDynamics Cloud supports cloud-native, managed Kubernetes environments on Amazon Web Services (AWS), with future expansion to Microsoft Azure, Google Cloud Platform, and other cloud providers.

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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 ...

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 ...