Skip to main content

Cisco Unveiled New Cloud Management Capabilities

Cisco announced its vision to enable IT teams to work smarter and simplify their operations with new innovations in cloud-managed networking and unified technology experiences.

Cisco unveiled new cloud management capabilities that provide a unified experience across the Cisco Meraki, Cisco Catalyst and Cisco Nexus portfolios and a new Cisco ThousandEyes product to proactively forecast and optimize WAN performance. These innovations highlight Cisco’s strategy to provide customers with the agility, resiliency, and productivity that their businesses need to thrive in the face of unpredictability through the power of cloud-managed platforms.

“Our customers choose to run their businesses on Cisco technology because we sit at the intersection of networking, security and cloud,” said Todd Nightingale, EVP and GM, Cisco Enterprise Networking & Cloud. “We believe the network is the foundation for the modern enterprise and must deliver agility through simplicity. Cisco is addressing our customers' most important concern, which is managing complexity through smart, data-driven platforms that power a digital business.”

Cisco is advancing its networking platforms so customers can securely, logically, and seamlessly transition toward more cloud-based operating models.

- With Cloud Management for Cisco Catalyst, customers can now monitor select Catalyst Switches and manage new Catalyst Wireless devices through the Meraki dashboard, bringing increased visibility and flexibility to the customer experience. Campus and branch networking customers can now simplify their IT operations by combining the best in cloud management with the best in networking hardware.

- Announcing Cisco Nexus Cloud, a cloud-managed platform delivered as-a-service that provides the simplest way to deploy, manage and operate cloud networking. Powered by Cisco Intersight for best-in class switching and multicloud management, Cisco Nexus Cloud will extend customers’ ability to manage across public cloud, private cloud and edge computing environments of any size or scale. Cisco Nexus Cloud is targeted for availability in the Fall 2022.

Customers can now take advantage of Cisco’s advancements in predictive networking via Cisco ThousandEyes, an internet and cloud intelligence platform. ThousandEyes WAN Insights is the first step toward delivering on the Cisco Predictive Networks vision, empowering enterprise IT to move from reactive to preventative-based networking, improving operational efficiency and assurance of application experience. Coming soon, ThousandEyes WAN Insights proactively alerts IT teams to issues before they happen and harm user experience, offering policy recommendations and path optimization guidance. Alongside ThousandEyes’s unmatched view of Internet health and behavior, the addition of ThousandEyes WAN Insights helps to empower customers to maximize their Internet and Cloud-centric environments and deliver flawless digital experiences.

The Latest

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

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 ...

Cisco Unveiled New Cloud Management Capabilities

Cisco announced its vision to enable IT teams to work smarter and simplify their operations with new innovations in cloud-managed networking and unified technology experiences.

Cisco unveiled new cloud management capabilities that provide a unified experience across the Cisco Meraki, Cisco Catalyst and Cisco Nexus portfolios and a new Cisco ThousandEyes product to proactively forecast and optimize WAN performance. These innovations highlight Cisco’s strategy to provide customers with the agility, resiliency, and productivity that their businesses need to thrive in the face of unpredictability through the power of cloud-managed platforms.

“Our customers choose to run their businesses on Cisco technology because we sit at the intersection of networking, security and cloud,” said Todd Nightingale, EVP and GM, Cisco Enterprise Networking & Cloud. “We believe the network is the foundation for the modern enterprise and must deliver agility through simplicity. Cisco is addressing our customers' most important concern, which is managing complexity through smart, data-driven platforms that power a digital business.”

Cisco is advancing its networking platforms so customers can securely, logically, and seamlessly transition toward more cloud-based operating models.

- With Cloud Management for Cisco Catalyst, customers can now monitor select Catalyst Switches and manage new Catalyst Wireless devices through the Meraki dashboard, bringing increased visibility and flexibility to the customer experience. Campus and branch networking customers can now simplify their IT operations by combining the best in cloud management with the best in networking hardware.

- Announcing Cisco Nexus Cloud, a cloud-managed platform delivered as-a-service that provides the simplest way to deploy, manage and operate cloud networking. Powered by Cisco Intersight for best-in class switching and multicloud management, Cisco Nexus Cloud will extend customers’ ability to manage across public cloud, private cloud and edge computing environments of any size or scale. Cisco Nexus Cloud is targeted for availability in the Fall 2022.

Customers can now take advantage of Cisco’s advancements in predictive networking via Cisco ThousandEyes, an internet and cloud intelligence platform. ThousandEyes WAN Insights is the first step toward delivering on the Cisco Predictive Networks vision, empowering enterprise IT to move from reactive to preventative-based networking, improving operational efficiency and assurance of application experience. Coming soon, ThousandEyes WAN Insights proactively alerts IT teams to issues before they happen and harm user experience, offering policy recommendations and path optimization guidance. Alongside ThousandEyes’s unmatched view of Internet health and behavior, the addition of ThousandEyes WAN Insights helps to empower customers to maximize their Internet and Cloud-centric environments and deliver flawless digital experiences.

The Latest

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

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 ...