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Cisco Extends Application-Centric Infrastructure Solution

Cisco is expanding its Application Centric Infrastructure (ACI) solution by introducing the Cisco Application Policy Infrastructure Controller (APIC) Enterprise Module, which extends ACI solutions beyond the data center to the WAN and access networks.

Cisco has been updating its data center and networking portfolio to become open, programmable and secure, and this extension of APIC delivers Software Defined Networking (SDN) capabilities that allow the network to become more agile and responsive to the dynamic demands of applications and users.

The extension Enterprise Module of the Cisco Application Policy Infrastructure Controller (APIC) allows IT organizations to have complete visibility into their networks, automating network and policy configuration while managing applications across the WAN and access networks.

This automated process can handle traditionally repetitive and complex tasks, eliminating mundane operations from IT personnel so they can focus on more strategic work that will help grow their businesses.

The Cisco APIC Enterprise Module provides the unique ability to see the entire network as a single entity, instead of individual network elements. The result is reduced network complexity, accelerated application rollout across wired and wireless infrastructure, and more efficient network management and troubleshooting.

Cisco APIC also frees up time for IT that would otherwise be spent configuring networking equipment and updating policy changes device by device. It automates many IT functions enabling configuration and policy changes to be pushed out to the individual components of the network instead of requiring IT to update each one manually.

It also enables policies to automatically adapt to network changes which would be very difficult to set otherwise. As a result, IT can instead spend time creating innovative business applications using network intelligence, and have a direct impact on the business.

Additionally, Cisco APIC uniquely supports both new and existing network infrastructures, supporting a selection of network Application Programming Interfaces (APIs), including OpenFlow, Cisco onePK and Command Line Interface (CLI).

The Cisco APIC Enterprise Module also supports both new SDN-ready devices as well as older Cisco network equipment, enabling the same IT automation as with Cisco ACI for a large existing installed base that eliminates the need to rip and replace existing networking equipment to take advantage of this new functionality.

The Cisco APIC Enterprise Module is constructed of three elements: a consolidated network information database, policy infrastructure and automation. Combined, that can substantially increase network automation and agility, lowering the time that IT spends on operational activities by up to 36 percent.

To address security concerns, Cisco APIC automates network-wide rapid threat detection and mitigation by integrating and automating Cisco Sourcefire security solutions.

For compliance management across branches and headquarters, Cisco APIC also provides network-wide Quality of Service (QoS), and accelerates Intelligent WAN (IWAN) deployments. It can also be used with third-party solutions to provide an end-to-end WAN orchestration and management.

The Cisco APIC Enterprise Module will be available at the end of the first half of 2014 and at no additional cost for existing and new Cisco SMARTnet customers.

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

Cisco Extends Application-Centric Infrastructure Solution

Cisco is expanding its Application Centric Infrastructure (ACI) solution by introducing the Cisco Application Policy Infrastructure Controller (APIC) Enterprise Module, which extends ACI solutions beyond the data center to the WAN and access networks.

Cisco has been updating its data center and networking portfolio to become open, programmable and secure, and this extension of APIC delivers Software Defined Networking (SDN) capabilities that allow the network to become more agile and responsive to the dynamic demands of applications and users.

The extension Enterprise Module of the Cisco Application Policy Infrastructure Controller (APIC) allows IT organizations to have complete visibility into their networks, automating network and policy configuration while managing applications across the WAN and access networks.

This automated process can handle traditionally repetitive and complex tasks, eliminating mundane operations from IT personnel so they can focus on more strategic work that will help grow their businesses.

The Cisco APIC Enterprise Module provides the unique ability to see the entire network as a single entity, instead of individual network elements. The result is reduced network complexity, accelerated application rollout across wired and wireless infrastructure, and more efficient network management and troubleshooting.

Cisco APIC also frees up time for IT that would otherwise be spent configuring networking equipment and updating policy changes device by device. It automates many IT functions enabling configuration and policy changes to be pushed out to the individual components of the network instead of requiring IT to update each one manually.

It also enables policies to automatically adapt to network changes which would be very difficult to set otherwise. As a result, IT can instead spend time creating innovative business applications using network intelligence, and have a direct impact on the business.

Additionally, Cisco APIC uniquely supports both new and existing network infrastructures, supporting a selection of network Application Programming Interfaces (APIs), including OpenFlow, Cisco onePK and Command Line Interface (CLI).

The Cisco APIC Enterprise Module also supports both new SDN-ready devices as well as older Cisco network equipment, enabling the same IT automation as with Cisco ACI for a large existing installed base that eliminates the need to rip and replace existing networking equipment to take advantage of this new functionality.

The Cisco APIC Enterprise Module is constructed of three elements: a consolidated network information database, policy infrastructure and automation. Combined, that can substantially increase network automation and agility, lowering the time that IT spends on operational activities by up to 36 percent.

To address security concerns, Cisco APIC automates network-wide rapid threat detection and mitigation by integrating and automating Cisco Sourcefire security solutions.

For compliance management across branches and headquarters, Cisco APIC also provides network-wide Quality of Service (QoS), and accelerates Intelligent WAN (IWAN) deployments. It can also be used with third-party solutions to provide an end-to-end WAN orchestration and management.

The Cisco APIC Enterprise Module will be available at the end of the first half of 2014 and at no additional cost for existing and new Cisco SMARTnet customers.

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...