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Zenoss Releases New ZenPack for Cisco Application Policy Infrastructure Controller

Zenoss announced the availability of its new ZenPack for Cisco Application Policy Infrastructure Controller (Cisco APIC).

The unifying point of automation and management for the Cisco Application Centric Infrastructure (Cisco ACI) fabric is the Cisco APIC. It provides centralized access to all fabric information, optimizes the application lifecycle for scale and performance, and supports flexible application provisioning across physical and virtual resources.

“For the last several years, Zenoss and Cisco have been partnering around a common goal of giving enterprises and service providers a way to ensure reliable service delivery,” said Alan Conley, CTO and SVP, Product Development at Zenoss. “This collaboration has resulted in the creation of solutions uniquely tuned to meet the demands of virtualized converged infrastructure. Cisco’s model-based, policy-driven APIC offers next generation networking which aligns with Zenoss’ similar model-based, policy-driven approach to provide real-time Service Impact analysis.”

The new Cisco-oriented ZenPack has been designed specifically to help with Cisco ACI “Day 2” operations, which includes running a new ACI infrastructure, managing faults, identifying and correcting capacity issues, and more. Key capabilities in the new APIC ZenPack include:

- Discovery - Discovers tenants, applications, application endpoint groups, contracts, including contracts provided and contracts consumed, bridge domains, fabric pods and fabric nodes, line cards, aggregate interfaces, and CPUs.

- Performance Monitoring - For all discovered components, monitors and thresholds on the overall health score of the component.

- Event Management - Monitors APIC devices for faults, and when faults occur, turns faults into events in the Zenoss unified web interface. The Zenoss event lifecycle process closely mirrors the event lifecycle approach used by the APIC, which means that as events change over time and clear, these changes are tracked and displayed in real-time in the Zenoss web interface.

- Service Impact - Zenoss supports both infrastructure and application service impact models. When you add a Cisco APIC device to Zenoss, Zenoss takes the top-level tenant and application services defined in the APIC and automatically creates a network infrastructure model that shows the network devices and components in the Cisco ACI, along with their relationships. This ensures that your infrastructure and application service impact models are real-time, even in highly dynamic, virtualized cloud environments.

- Reporting and Analytics - All data collected from the APIC is available for analysis and ad-hoc report creation.

For businesses running converged infrastructures with Cisco ACI networks, Zenoss also provides the Cisco UCS ZenPack, which makes it possible for organizations with Zenoss Service Dynamics to automatically link ACI tenant and application networks to a single, end-to-end view of their computer, virtualization, and storage infrastructure. Using a combination of the existing Cisco UCS ZenPack, the Cisco Devices, the VMware vSphere, and either the NetApp or EMC ZenPacks, Zenoss can monitor a complete Cisco converged infrastructure today using a single pane of glass.

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Zenoss Releases New ZenPack for Cisco Application Policy Infrastructure Controller

Zenoss announced the availability of its new ZenPack for Cisco Application Policy Infrastructure Controller (Cisco APIC).

The unifying point of automation and management for the Cisco Application Centric Infrastructure (Cisco ACI) fabric is the Cisco APIC. It provides centralized access to all fabric information, optimizes the application lifecycle for scale and performance, and supports flexible application provisioning across physical and virtual resources.

“For the last several years, Zenoss and Cisco have been partnering around a common goal of giving enterprises and service providers a way to ensure reliable service delivery,” said Alan Conley, CTO and SVP, Product Development at Zenoss. “This collaboration has resulted in the creation of solutions uniquely tuned to meet the demands of virtualized converged infrastructure. Cisco’s model-based, policy-driven APIC offers next generation networking which aligns with Zenoss’ similar model-based, policy-driven approach to provide real-time Service Impact analysis.”

The new Cisco-oriented ZenPack has been designed specifically to help with Cisco ACI “Day 2” operations, which includes running a new ACI infrastructure, managing faults, identifying and correcting capacity issues, and more. Key capabilities in the new APIC ZenPack include:

- Discovery - Discovers tenants, applications, application endpoint groups, contracts, including contracts provided and contracts consumed, bridge domains, fabric pods and fabric nodes, line cards, aggregate interfaces, and CPUs.

- Performance Monitoring - For all discovered components, monitors and thresholds on the overall health score of the component.

- Event Management - Monitors APIC devices for faults, and when faults occur, turns faults into events in the Zenoss unified web interface. The Zenoss event lifecycle process closely mirrors the event lifecycle approach used by the APIC, which means that as events change over time and clear, these changes are tracked and displayed in real-time in the Zenoss web interface.

- Service Impact - Zenoss supports both infrastructure and application service impact models. When you add a Cisco APIC device to Zenoss, Zenoss takes the top-level tenant and application services defined in the APIC and automatically creates a network infrastructure model that shows the network devices and components in the Cisco ACI, along with their relationships. This ensures that your infrastructure and application service impact models are real-time, even in highly dynamic, virtualized cloud environments.

- Reporting and Analytics - All data collected from the APIC is available for analysis and ad-hoc report creation.

For businesses running converged infrastructures with Cisco ACI networks, Zenoss also provides the Cisco UCS ZenPack, which makes it possible for organizations with Zenoss Service Dynamics to automatically link ACI tenant and application networks to a single, end-to-end view of their computer, virtualization, and storage infrastructure. Using a combination of the existing Cisco UCS ZenPack, the Cisco Devices, the VMware vSphere, and either the NetApp or EMC ZenPacks, Zenoss can monitor a complete Cisco converged infrastructure today using a single pane of glass.

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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.