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CA Technologies Expands Mainframe Linux Management Portfolio

CA Technologies announced a new release of the CA VM:Manager Suite for Linux on System z and a new capability for CA Solve Operations Automation. The company also announced partnerships with INNOVATION Data Processing and Velocity Software that are designed to help customers increase cost savings by optimizing Linux management.

The new products add important new capabilities that broaden CA Technologies existing portfolio of cross-enterprise Linux management software for System z and distributed systems in solution areas including Security, Performance Management, Workload Automation, Storage Management, Event Automation, Application Development and Data Transport.

The new release of the CA VM:Manager Suite includes enhancements across product areas, which extend integrated management capabilities designed to control costs, improve performance, increase user productivity and more efficiently manage and secure z/VM systems that support Linux on System z. It also adds tape management capabilities for Linux on System z, along with improvements that help CA Technologies customers install, deploy and service their CA z/VM products quickly and more effectively.

The company also introduced a new capability in CA Solve Operations Automation: the means to manage Linux applications as if they were System z applications, thereby reducing the need for mainframe Linux operations expertise.

To further enhance the Linux management suite, CA Technologies has signed licensing and distribution agreements with two leading Linux management companies to sell:

• INNOVATION Data Processing’s UPSTREAM for Linux on Z and UPSTREAM for UNIX on z/OS UNIX: helps save time and money by providing easy-to-use data protection, allowing z/OS storage managers to use their mainframe expertise to centrally manage storage in hybrid mainframe and distributed environments without being UNIX file system experts.

• Velocity Software’s zVPS Performance Suite: helps IT organizations optimize performance and costs via graphical, real-time access to detailed performance data and analysis of z/VM and Linux on System z performance. Read more below.

CA Technologies Signs Agreement with Velocity Software

CA Technologies has signed a global licensing and distribution agreement with Velocity Software, a Linux performance management company, to include the company’s zVPS Performance Suite for IBM System z in its comprehensive Linux on System z management offering.

Velocity Software’s products help IT organizations optimize performance and reduce cost via graphical, real-time access to detailed performance data and analysis of z/VM and Linux on System z performance.

zVPS offers easy-to-use graphical and web-based tools to help analyze capacity requirements, establish operational alerts and determine chargeback usage. Its detailed information helps IT staff optimize performance and effectively manage the cost of their Linux on System z environment. By gathering data from Linux on System z and distributed environments, such as VMWare, Microsoft, Linux and Unix servers, zVPS supports server consolidation projects and facilitates decisions on the most cost-effective placement of workloads.

“There are strong synergies between the Linux on System z offerings from CA Technologies and Velocity Software,” says Barton Robinson, Velocity Software CEO. "This partnering of complementary solutions helps to greatly strengthen the value proposition in managing Linux on System z platforms for our mutual customers."

The Velocity Software zVPS Performance Suite for IBM System z is now available from CA Technologies.

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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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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 Expands Mainframe Linux Management Portfolio

CA Technologies announced a new release of the CA VM:Manager Suite for Linux on System z and a new capability for CA Solve Operations Automation. The company also announced partnerships with INNOVATION Data Processing and Velocity Software that are designed to help customers increase cost savings by optimizing Linux management.

The new products add important new capabilities that broaden CA Technologies existing portfolio of cross-enterprise Linux management software for System z and distributed systems in solution areas including Security, Performance Management, Workload Automation, Storage Management, Event Automation, Application Development and Data Transport.

The new release of the CA VM:Manager Suite includes enhancements across product areas, which extend integrated management capabilities designed to control costs, improve performance, increase user productivity and more efficiently manage and secure z/VM systems that support Linux on System z. It also adds tape management capabilities for Linux on System z, along with improvements that help CA Technologies customers install, deploy and service their CA z/VM products quickly and more effectively.

The company also introduced a new capability in CA Solve Operations Automation: the means to manage Linux applications as if they were System z applications, thereby reducing the need for mainframe Linux operations expertise.

To further enhance the Linux management suite, CA Technologies has signed licensing and distribution agreements with two leading Linux management companies to sell:

• INNOVATION Data Processing’s UPSTREAM for Linux on Z and UPSTREAM for UNIX on z/OS UNIX: helps save time and money by providing easy-to-use data protection, allowing z/OS storage managers to use their mainframe expertise to centrally manage storage in hybrid mainframe and distributed environments without being UNIX file system experts.

• Velocity Software’s zVPS Performance Suite: helps IT organizations optimize performance and costs via graphical, real-time access to detailed performance data and analysis of z/VM and Linux on System z performance. Read more below.

CA Technologies Signs Agreement with Velocity Software

CA Technologies has signed a global licensing and distribution agreement with Velocity Software, a Linux performance management company, to include the company’s zVPS Performance Suite for IBM System z in its comprehensive Linux on System z management offering.

Velocity Software’s products help IT organizations optimize performance and reduce cost via graphical, real-time access to detailed performance data and analysis of z/VM and Linux on System z performance.

zVPS offers easy-to-use graphical and web-based tools to help analyze capacity requirements, establish operational alerts and determine chargeback usage. Its detailed information helps IT staff optimize performance and effectively manage the cost of their Linux on System z environment. By gathering data from Linux on System z and distributed environments, such as VMWare, Microsoft, Linux and Unix servers, zVPS supports server consolidation projects and facilitates decisions on the most cost-effective placement of workloads.

“There are strong synergies between the Linux on System z offerings from CA Technologies and Velocity Software,” says Barton Robinson, Velocity Software CEO. "This partnering of complementary solutions helps to greatly strengthen the value proposition in managing Linux on System z platforms for our mutual customers."

The Velocity Software zVPS Performance Suite for IBM System z is now available from CA Technologies.

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 ...