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CA Technologies Delivers Converged Infrastructure Management Solution

CA Technologies announced a new version of CA Infrastructure Management (CA IM), the cornerstone of the company’s converged infrastructure management solution that enables a superior and differentiated customer experience.

By integrating elements of CA Technologies Service Assurance portfolio, CA IM quickly translates volumes of disparate performance data into actionable insight delivered in unified, user-specific views that help enterprise and service provider customers cost effectively improve service quality, predictability and efficiency.

“CIOs have become Chief Experience Officers as the customer experience becomes an increasingly powerful weapon in today’s competitive world,” said Mike Sargent, general manager, Enterprise Management, CA Technologies. “Cloud, virtualization and mobile growth have changed the way users consume IT-related services, making the IT function more important to the customer experience. We developed CA Infrastructure Management to help our enterprise and service provider customers capture, engage and retain customers by offering a superior and differentiated customer experience. A new study* shows that when customers act on the insight delivered by CA IM, service problems can be resolved as much as 25 times faster. And we estimate that it can be done up to 50 percent less total cost.”

Increases in volume and types of traffic, data and devices on the Internet, coupled with outdated methods, processes and tools to manage them, creates a level of IT complexity that challenges IT organizations as they strive to meet soaring customer expectations.

CA Infrastructure Management addresses these challenges by offering specialized functionality, sophisticated analytics capabilities, massive scalability and adaptability for existing environments. The solution provides IT teams easy access to graphic displays of the specific information they need to improve service quality and deliver a superior customer experience with less effort and reduced costs.

In particular, CA IM helps:

• Enterprise IT personnel manage rapid growth of bring your own device (BYOD), video and application complexity in heavily virtualized infrastructures

• Communication Service Providers simplify and accelerate 4G network rollouts

• Managed Service Providers create new sources of revenue and onboard new clients faster

“Time means everything to enterprise IT and service provider operators, because the slightest delay in access to or performance of online services can quickly have a negative impact on customer/user experience,” said Jim Frey, managing research director, Enterprise Management Associates. “CA Technologies has completed a major effort to converge its infrastructure management solution with the goal of saving time in recognizing and mitigating experience-impacting incidents and problems. Such approaches can transform the way technology support organizations manage complex physical, virtual, cloud and mobile environments by accelerating operations efficiency and putting teams in position to proactively assure high quality service experience.”

When combined with other Service Assurance solutions, CA IM provides customers with comprehensive service visibility to help ensure the availability and performance of business services and the infrastructures they rely on.

This convergence of technologies helps provide a superior customer experience through:

• Converged Application and Infrastructure: End-to-end application response time monitoring that tracks, measures and analyzes application performance across the network infrastructure, compares the response time against intelligent baselines and thresholds, and alerts on any performance deterioration to deliver application-aware infrastructure management.

• Converged Functional Domains: An advanced architecture that offers agent-less collection and state-of-the-art aggregation for comprehensive collection and analysis of performance, fault and flow data that spans multiple functional areas across network, systems and application domains.

• Converged Networks: Integrated performance management for network-based voice and video, including Cisco Unified Communications Manager, Microsoft Lync, and AVAYA platforms. Customers can use the solution to track, evaluate and report on key performance metrics to help ensure quality of experience and network quality of service for unified communications.

• Converged Analytics: Dynamic, federated performance analytics that span the entire infrastructure to determine baselines, calculate trends, establish thresholds, detect anomalies and trigger automatic investigation. Results are delivered in converged, contextual views for actionable intelligence based on the user’s role.

CA Services and CA Education support CA Infrastructure Management with implementation offerings including foundation services to rapidly deploy the solution to meet business requirements and acceleration services to extend the value of the foundation implementation with additional capabilities such as multi-tenancy support. Strategic consulting, managed services and instructor-led Web-based training for customers and partners are also available.

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 ...

CA Technologies Delivers Converged Infrastructure Management Solution

CA Technologies announced a new version of CA Infrastructure Management (CA IM), the cornerstone of the company’s converged infrastructure management solution that enables a superior and differentiated customer experience.

By integrating elements of CA Technologies Service Assurance portfolio, CA IM quickly translates volumes of disparate performance data into actionable insight delivered in unified, user-specific views that help enterprise and service provider customers cost effectively improve service quality, predictability and efficiency.

“CIOs have become Chief Experience Officers as the customer experience becomes an increasingly powerful weapon in today’s competitive world,” said Mike Sargent, general manager, Enterprise Management, CA Technologies. “Cloud, virtualization and mobile growth have changed the way users consume IT-related services, making the IT function more important to the customer experience. We developed CA Infrastructure Management to help our enterprise and service provider customers capture, engage and retain customers by offering a superior and differentiated customer experience. A new study* shows that when customers act on the insight delivered by CA IM, service problems can be resolved as much as 25 times faster. And we estimate that it can be done up to 50 percent less total cost.”

Increases in volume and types of traffic, data and devices on the Internet, coupled with outdated methods, processes and tools to manage them, creates a level of IT complexity that challenges IT organizations as they strive to meet soaring customer expectations.

CA Infrastructure Management addresses these challenges by offering specialized functionality, sophisticated analytics capabilities, massive scalability and adaptability for existing environments. The solution provides IT teams easy access to graphic displays of the specific information they need to improve service quality and deliver a superior customer experience with less effort and reduced costs.

In particular, CA IM helps:

• Enterprise IT personnel manage rapid growth of bring your own device (BYOD), video and application complexity in heavily virtualized infrastructures

• Communication Service Providers simplify and accelerate 4G network rollouts

• Managed Service Providers create new sources of revenue and onboard new clients faster

“Time means everything to enterprise IT and service provider operators, because the slightest delay in access to or performance of online services can quickly have a negative impact on customer/user experience,” said Jim Frey, managing research director, Enterprise Management Associates. “CA Technologies has completed a major effort to converge its infrastructure management solution with the goal of saving time in recognizing and mitigating experience-impacting incidents and problems. Such approaches can transform the way technology support organizations manage complex physical, virtual, cloud and mobile environments by accelerating operations efficiency and putting teams in position to proactively assure high quality service experience.”

When combined with other Service Assurance solutions, CA IM provides customers with comprehensive service visibility to help ensure the availability and performance of business services and the infrastructures they rely on.

This convergence of technologies helps provide a superior customer experience through:

• Converged Application and Infrastructure: End-to-end application response time monitoring that tracks, measures and analyzes application performance across the network infrastructure, compares the response time against intelligent baselines and thresholds, and alerts on any performance deterioration to deliver application-aware infrastructure management.

• Converged Functional Domains: An advanced architecture that offers agent-less collection and state-of-the-art aggregation for comprehensive collection and analysis of performance, fault and flow data that spans multiple functional areas across network, systems and application domains.

• Converged Networks: Integrated performance management for network-based voice and video, including Cisco Unified Communications Manager, Microsoft Lync, and AVAYA platforms. Customers can use the solution to track, evaluate and report on key performance metrics to help ensure quality of experience and network quality of service for unified communications.

• Converged Analytics: Dynamic, federated performance analytics that span the entire infrastructure to determine baselines, calculate trends, establish thresholds, detect anomalies and trigger automatic investigation. Results are delivered in converged, contextual views for actionable intelligence based on the user’s role.

CA Services and CA Education support CA Infrastructure Management with implementation offerings including foundation services to rapidly deploy the solution to meet business requirements and acceleration services to extend the value of the foundation implementation with additional capabilities such as multi-tenancy support. Strategic consulting, managed services and instructor-led Web-based training for customers and partners are also available.

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 ...