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CA Technologies Unveils Next-Generation Mainframe Management

CA Technologies announced its Next-Generation Mainframe Management strategy, designed to address the most pressing customer needs to reduce costs, sustain critical skills, and increase IT agility in the hybrid data center and the cloud.

“Our Next-Generation Mainframe Management strategy focuses on increasing IT agility by delivering ground-breaking innovation across every facet of mainframe management,” said Dayton Semerjian, GM, Mainframe, CA Technologies. “This strategic focus also expands our cross-enterprise management capabilities, to help accelerate cost savings and improve productivity as the IT workforce converges from platform-based silos into a unified management team.”

With the Next-Generation Mainframe Management strategy, CA Technologies plans to deliver innovative solutions that:

• Embrace the IBM zEnterprise hybrid architecture.

• Enable the mainframe in private and hybrid clouds.

• Empower the multi-platform, converging IT workforce.

• Extend management to support multi-vendor environments.

Enhancements to CA Technologies mainframe solutions include:

• Expanding its revolutionary management workspace, CA Mainframe Chorus, a graphically rich, role-based approach to managing mainframe workloads, to include:
− Two new roles for Security and Compliance and Storage Management, announced today;
− New releases of the Chorus platform and the DB2 for z/OS Database Management role, also announced today.
− The base for development of seamless, cross-platform management solutions.

• Integrating cross-platform management for application performance and process automation, to help IT proactively manage services across the enterprise. For example, with the CA Cross Enterprise Application Performance Management solution, IT can trace transactions through distributed and mainframe environments, across virtualized and physical systems within the firewall and into the cloud.

Future plans include creating a design and private/hybrid cloud platform designed to enable System z customers to build and manage services that help:

• Reduce operations costs and time-to-value for new applications.

• Add portability and interoperation of management applications across the enterprise and with service providers.

• Provide mainframe-based, cross-platform business service innovation to truly enable enterprise cloud computing.

With its comprehensive management strategy, CA Technologies deepens its commitment to deliver innovative solutions designed to increase IT agility now and into the future, and help customers control costs and sustain critical skills including:

• Mainframe Value Program, a free assessment that helps customers maximize the value of the CA software they already own.

• Mainframe Software Rationalization Program, which helps organizations minimize costs by consolidating multiple vendors’ software into a standardized, integrated management stack.

• Support for specialty processors and zLinux, enabling customers to realize additional cost savings.

• Modernizing and simplifying mainframe management for the converging IT workforce with its CA Mainframe Software Manager and CA Mainframe Chorus.

• Delivering education via the CA Mainframe Academy for the next-generation IT workforce.

This news supports customers as they transition from simply managing IT to delivering business services. CA Technologies applies a unique value roadmap to each customer’s business goals to deliver Business Service Innovation: new levels of speed, innovation, performance and cost/risk efficiencies.

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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 ...

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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 Unveils Next-Generation Mainframe Management

CA Technologies announced its Next-Generation Mainframe Management strategy, designed to address the most pressing customer needs to reduce costs, sustain critical skills, and increase IT agility in the hybrid data center and the cloud.

“Our Next-Generation Mainframe Management strategy focuses on increasing IT agility by delivering ground-breaking innovation across every facet of mainframe management,” said Dayton Semerjian, GM, Mainframe, CA Technologies. “This strategic focus also expands our cross-enterprise management capabilities, to help accelerate cost savings and improve productivity as the IT workforce converges from platform-based silos into a unified management team.”

With the Next-Generation Mainframe Management strategy, CA Technologies plans to deliver innovative solutions that:

• Embrace the IBM zEnterprise hybrid architecture.

• Enable the mainframe in private and hybrid clouds.

• Empower the multi-platform, converging IT workforce.

• Extend management to support multi-vendor environments.

Enhancements to CA Technologies mainframe solutions include:

• Expanding its revolutionary management workspace, CA Mainframe Chorus, a graphically rich, role-based approach to managing mainframe workloads, to include:
− Two new roles for Security and Compliance and Storage Management, announced today;
− New releases of the Chorus platform and the DB2 for z/OS Database Management role, also announced today.
− The base for development of seamless, cross-platform management solutions.

• Integrating cross-platform management for application performance and process automation, to help IT proactively manage services across the enterprise. For example, with the CA Cross Enterprise Application Performance Management solution, IT can trace transactions through distributed and mainframe environments, across virtualized and physical systems within the firewall and into the cloud.

Future plans include creating a design and private/hybrid cloud platform designed to enable System z customers to build and manage services that help:

• Reduce operations costs and time-to-value for new applications.

• Add portability and interoperation of management applications across the enterprise and with service providers.

• Provide mainframe-based, cross-platform business service innovation to truly enable enterprise cloud computing.

With its comprehensive management strategy, CA Technologies deepens its commitment to deliver innovative solutions designed to increase IT agility now and into the future, and help customers control costs and sustain critical skills including:

• Mainframe Value Program, a free assessment that helps customers maximize the value of the CA software they already own.

• Mainframe Software Rationalization Program, which helps organizations minimize costs by consolidating multiple vendors’ software into a standardized, integrated management stack.

• Support for specialty processors and zLinux, enabling customers to realize additional cost savings.

• Modernizing and simplifying mainframe management for the converging IT workforce with its CA Mainframe Software Manager and CA Mainframe Chorus.

• Delivering education via the CA Mainframe Academy for the next-generation IT workforce.

This news supports customers as they transition from simply managing IT to delivering business services. CA Technologies applies a unique value roadmap to each customer’s business goals to deliver Business Service Innovation: new levels of speed, innovation, performance and cost/risk efficiencies.

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 ...