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CA Technologies Announces Latest Release of CA Nimsoft Service Desk

CA Technologies announced the latest release of CA Nimsoft Service Desk (NSD), the transformational, SaaS-based ITSM solution that empowers organizations to respond more quickly and cost-efficiently than ever to the relentlessly growing demands of business users.

This latest release facilitates the kind of true IT transformation customers need to achieve as part of their broader quest for IT-enabled business agility through three key new capabilities:

• Self-service/cloud automation. With CA NSD, IT organizations can quickly and easily implement Web services that automatically trigger activation, de-activation and/or modification of resources such as compute capacity or applications running in the enterprise data center or in the public cloud based on appropriate policies and approvals. This reduces operational cost and accelerates fulfillment of requests from the business by eliminating the need for manual action by IT staff.

• Easy integration with complementary solutions. New Web services capabilities in CA NSD can dramatically simplify integration with other potential components of an enterprise ITSM environment—such as other third-party service desks including Cisco Smarts and SAP Solution Manager and enterprise solutions such as and CA LISA Release Automation. Advanced “click and go” integration enables IT organizations to build and evolve end-to-end service management processes directly through the administrator interface. This helps ensure fulfillment of business requirements and support execution of ITIL best practices.

• Enhanced mobility. CA NSD delivers a progressive mobile experience that empowers consumers of IT services to create incidents, manage tickets, monitor approvals and view critical service communications information anytime or anywhere from any device. This rich mobile functionality includes geographic location and the ability to leverage native phone capabilities such as GPS and the camera, and optimizes responsiveness to end-user needs.

As a SaaS-based solution, CA NSD can be rapidly implemented without the capital costs associated with conventional service desk applications. Web form based configuration eliminates the need for specialized administrator or programming expertise to configure automation workflows and Web services integrations.

“SaaS is more than a convenient delivery model, it can provide significant advantages in enabling more diverse and flexible IT services without incurring burdensome administration and management requirements,” said Dennis Drogseth, vice president, Enterprise Management Associates. “The latest version of CA Nimsoft Service Desk captures these core SaaS advantages, with a focus on ease of use, easy customization, flexible integration and enhanced levels of automation. These strengths are pivotal in enabling IT organizations to focus increasingly on delivering business value with reduced TCO and back-office overhead.”

CA NSD lets customers choose monthly subscriptions based on named or concurrent-user licensing. The SaaS model also gives customers immediate access to any and all upgraded functionality as soon as it becomes available. CA NSD is available directly from CA Technologies and from the company’s global partner network.

“Increasingly, IT is less about command-and-control and more about engineering a set of virtualized hybrid cloud resources that the business can access on-demand,” said Lokesh Jindal, general manager, IT Business Management, CA Technologies. “With CA Nimsoft Service Desk, we have designed and delivered a solution that IT can use to automate and deliver business services without getting bogged down in writing a bunch of inflexible code, tapping into its limited capital budget, or ripping-and-replacing existing resources that still have genuine value.”

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 ...

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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 Announces Latest Release of CA Nimsoft Service Desk

CA Technologies announced the latest release of CA Nimsoft Service Desk (NSD), the transformational, SaaS-based ITSM solution that empowers organizations to respond more quickly and cost-efficiently than ever to the relentlessly growing demands of business users.

This latest release facilitates the kind of true IT transformation customers need to achieve as part of their broader quest for IT-enabled business agility through three key new capabilities:

• Self-service/cloud automation. With CA NSD, IT organizations can quickly and easily implement Web services that automatically trigger activation, de-activation and/or modification of resources such as compute capacity or applications running in the enterprise data center or in the public cloud based on appropriate policies and approvals. This reduces operational cost and accelerates fulfillment of requests from the business by eliminating the need for manual action by IT staff.

• Easy integration with complementary solutions. New Web services capabilities in CA NSD can dramatically simplify integration with other potential components of an enterprise ITSM environment—such as other third-party service desks including Cisco Smarts and SAP Solution Manager and enterprise solutions such as and CA LISA Release Automation. Advanced “click and go” integration enables IT organizations to build and evolve end-to-end service management processes directly through the administrator interface. This helps ensure fulfillment of business requirements and support execution of ITIL best practices.

• Enhanced mobility. CA NSD delivers a progressive mobile experience that empowers consumers of IT services to create incidents, manage tickets, monitor approvals and view critical service communications information anytime or anywhere from any device. This rich mobile functionality includes geographic location and the ability to leverage native phone capabilities such as GPS and the camera, and optimizes responsiveness to end-user needs.

As a SaaS-based solution, CA NSD can be rapidly implemented without the capital costs associated with conventional service desk applications. Web form based configuration eliminates the need for specialized administrator or programming expertise to configure automation workflows and Web services integrations.

“SaaS is more than a convenient delivery model, it can provide significant advantages in enabling more diverse and flexible IT services without incurring burdensome administration and management requirements,” said Dennis Drogseth, vice president, Enterprise Management Associates. “The latest version of CA Nimsoft Service Desk captures these core SaaS advantages, with a focus on ease of use, easy customization, flexible integration and enhanced levels of automation. These strengths are pivotal in enabling IT organizations to focus increasingly on delivering business value with reduced TCO and back-office overhead.”

CA NSD lets customers choose monthly subscriptions based on named or concurrent-user licensing. The SaaS model also gives customers immediate access to any and all upgraded functionality as soon as it becomes available. CA NSD is available directly from CA Technologies and from the company’s global partner network.

“Increasingly, IT is less about command-and-control and more about engineering a set of virtualized hybrid cloud resources that the business can access on-demand,” said Lokesh Jindal, general manager, IT Business Management, CA Technologies. “With CA Nimsoft Service Desk, we have designed and delivered a solution that IT can use to automate and deliver business services without getting bogged down in writing a bunch of inflexible code, tapping into its limited capital budget, or ripping-and-replacing existing resources that still have genuine value.”

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 ...