Skip to main content

CA Introduces Xtraction for CA Service Management

CA Technologies announced Xtraction for CA Service Management—a self-service solution that makes it easy for non-technical users to create and design interactive IT performance dashboards and reports that they can quickly share with the broader user community.

By making it easier than ever for both business and technical users to create their own IT dashboards, Xtraction for CA Service Management significantly advances the CA Technologies strategy of making users more self-sufficient.

With Xtraction for CA Service Management, users can get deep, real-time insight into all key aspects of IT services—including demand, cost, use, performance, problems and problem resolution. This allows them to engage in fact-based collaboration with IT and to make better informed decisions about how to optimally align IT investments with genuine business requirements.

The solution uses technology from Xtraction Solutions, a CA Technologies Select Technology Partner, which CA Technologies is reselling.

“Enterprise management tools have historically done very little to give business users the visibility they need into the present and historical state of IT,” said Scott Freitas, Senior Manager, IT Customer Support Services, Raymond James Financial. “With the Xtraction technology, we have significantly increased our transparency to the business—which, among other things, greatly enhances IT's image within the organization.”

The release of Xtraction for CA Service Management follows the introduction of several other solutions — including CA Open Space and xMatters for CA Service Desk Manager — that also facilitate self-service for business and improved collaboration between the business and IT. It underscores CA Technologies commitment to leading the IT service management market with a differentiated user experience, optimized mobility, robust asset management, rapid time-to-value and the choice of a SaaS-delivered solution.

“As IT services become increasingly interwoven into all aspects of business operations, planning and strategy, it has become essential to give users the ability to understand those IT services in the context of their business needs," said Lokesh Jindal, Sr. VP, Service and Portfolio Management, CA Technologies. "Xtraction for CA Service Management is a big step forward in achieving this understanding—thereby empowering the business to take a more active role in ensuring that IT is closely aligned with its needs and objectives.”

Xtraction for CA Service Management is a browser-based solution with an intuitive interface for building charts, graphs, pivot tables and other graphical reporting elements using simple point-and-click tools.

Users can aggregate data from multiple sources—including CA Service Desk Manager, CA IT Asset Manager and CA Service Catalog—drill-down for greater detail, and auto-refresh real-time data. Reports can also be exported to PDF, Microsoft PowerPoint and other popular formats.

“Our technology significantly improves the ability of our customers to effectively incorporate IT-related decision-making into their business management processes,” said Clive Smith, Managing Director, Xtraction Solutions. “We are glad to expand our relationship with CA Technologies to bring this important benefit to even more customers worldwide."

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 Introduces Xtraction for CA Service Management

CA Technologies announced Xtraction for CA Service Management—a self-service solution that makes it easy for non-technical users to create and design interactive IT performance dashboards and reports that they can quickly share with the broader user community.

By making it easier than ever for both business and technical users to create their own IT dashboards, Xtraction for CA Service Management significantly advances the CA Technologies strategy of making users more self-sufficient.

With Xtraction for CA Service Management, users can get deep, real-time insight into all key aspects of IT services—including demand, cost, use, performance, problems and problem resolution. This allows them to engage in fact-based collaboration with IT and to make better informed decisions about how to optimally align IT investments with genuine business requirements.

The solution uses technology from Xtraction Solutions, a CA Technologies Select Technology Partner, which CA Technologies is reselling.

“Enterprise management tools have historically done very little to give business users the visibility they need into the present and historical state of IT,” said Scott Freitas, Senior Manager, IT Customer Support Services, Raymond James Financial. “With the Xtraction technology, we have significantly increased our transparency to the business—which, among other things, greatly enhances IT's image within the organization.”

The release of Xtraction for CA Service Management follows the introduction of several other solutions — including CA Open Space and xMatters for CA Service Desk Manager — that also facilitate self-service for business and improved collaboration between the business and IT. It underscores CA Technologies commitment to leading the IT service management market with a differentiated user experience, optimized mobility, robust asset management, rapid time-to-value and the choice of a SaaS-delivered solution.

“As IT services become increasingly interwoven into all aspects of business operations, planning and strategy, it has become essential to give users the ability to understand those IT services in the context of their business needs," said Lokesh Jindal, Sr. VP, Service and Portfolio Management, CA Technologies. "Xtraction for CA Service Management is a big step forward in achieving this understanding—thereby empowering the business to take a more active role in ensuring that IT is closely aligned with its needs and objectives.”

Xtraction for CA Service Management is a browser-based solution with an intuitive interface for building charts, graphs, pivot tables and other graphical reporting elements using simple point-and-click tools.

Users can aggregate data from multiple sources—including CA Service Desk Manager, CA IT Asset Manager and CA Service Catalog—drill-down for greater detail, and auto-refresh real-time data. Reports can also be exported to PDF, Microsoft PowerPoint and other popular formats.

“Our technology significantly improves the ability of our customers to effectively incorporate IT-related decision-making into their business management processes,” said Clive Smith, Managing Director, Xtraction Solutions. “We are glad to expand our relationship with CA Technologies to bring this important benefit to even more customers worldwide."

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 ...