Skip to main content

New Version of CA Network Flow Analysis Leverages Next-Generation Cisco Technology

CA Technologies announced a new version of CA Network Flow Analysis that leverages Cisco’s next-generation technology to provide IT organizations with application-centric insights to better spot anomalies, improve service levels and reduce operational costs.

CA Network Flow Analysis automatically recognizes more than 1,000 applications—quickly giving network managers deep visibility into application traffic patterns and behavior. The solution also makes it easy for network managers to create profiles for their organization’s custom applications.

This insight empowers IT to pinpoint active or potential issues with service delivery, plan and validate resource needs for new applications, optimize utilization of network resources, and avoid unnecessary infrastructure costs.

CA Network Flow Analysis complements these capabilities with patented anomaly detection that learns about the network over time and automatically detects and creates alarms for a wide range of anomalies that can impact performance and create security risks. This empowers IT to proactively safeguard critical service levels while reducing the cost and headaches associated with network troubleshooting.

“Enterprise IT organizations that don’t aggressively evolve their ability to manage their networks from an application-centric perspective will inevitably wind up throwing too many staff-hours at service-level assurance and getting too little in return,” said John Smith, GM, infrastructure management, CA Technologies. “With CA Network Flow Analysis, customers achieve far superior results with less work—significantly enhancing IT’s overall ability to deliver more value to the business.”

CA Network Flow Analysis leverages Cisco AVC (Application Visibility and Control) and NBAR2 (Next Generation Network-Based Application Recognition) technologies to simplify and integrate the detection and analysis of application-specific traffic. It also harvests data directly from network devices—making it more cost-effective to deploy, maintain and upgrade.

CA Network Flow Analysis has received Cisco's Interoperability Verification Test (IVT) certification, validating its support for AVC.

"Network performance management no longer means simply reporting top talkers and top traffic loads by port and protocol," said Jim Frey, vice president of research, Enterprise Management Associates. "Network managers must now be able to relate ports and protocols to specific applications, understand response times for those applications, and apply analytics to reveal potential issues on a proactive basis. The latest release of CA's Network Flow Analysis makes progress on all of these fronts."

CA Network Flow Analysis embraces CA Technologies application-driven network performance management model for managing IT infrastructure, applications and services.

The Latest

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

New Version of CA Network Flow Analysis Leverages Next-Generation Cisco Technology

CA Technologies announced a new version of CA Network Flow Analysis that leverages Cisco’s next-generation technology to provide IT organizations with application-centric insights to better spot anomalies, improve service levels and reduce operational costs.

CA Network Flow Analysis automatically recognizes more than 1,000 applications—quickly giving network managers deep visibility into application traffic patterns and behavior. The solution also makes it easy for network managers to create profiles for their organization’s custom applications.

This insight empowers IT to pinpoint active or potential issues with service delivery, plan and validate resource needs for new applications, optimize utilization of network resources, and avoid unnecessary infrastructure costs.

CA Network Flow Analysis complements these capabilities with patented anomaly detection that learns about the network over time and automatically detects and creates alarms for a wide range of anomalies that can impact performance and create security risks. This empowers IT to proactively safeguard critical service levels while reducing the cost and headaches associated with network troubleshooting.

“Enterprise IT organizations that don’t aggressively evolve their ability to manage their networks from an application-centric perspective will inevitably wind up throwing too many staff-hours at service-level assurance and getting too little in return,” said John Smith, GM, infrastructure management, CA Technologies. “With CA Network Flow Analysis, customers achieve far superior results with less work—significantly enhancing IT’s overall ability to deliver more value to the business.”

CA Network Flow Analysis leverages Cisco AVC (Application Visibility and Control) and NBAR2 (Next Generation Network-Based Application Recognition) technologies to simplify and integrate the detection and analysis of application-specific traffic. It also harvests data directly from network devices—making it more cost-effective to deploy, maintain and upgrade.

CA Network Flow Analysis has received Cisco's Interoperability Verification Test (IVT) certification, validating its support for AVC.

"Network performance management no longer means simply reporting top talkers and top traffic loads by port and protocol," said Jim Frey, vice president of research, Enterprise Management Associates. "Network managers must now be able to relate ports and protocols to specific applications, understand response times for those applications, and apply analytics to reveal potential issues on a proactive basis. The latest release of CA's Network Flow Analysis makes progress on all of these fronts."

CA Network Flow Analysis embraces CA Technologies application-driven network performance management model for managing IT infrastructure, applications and services.

The Latest

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...