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CA Technologies Joins Linux Foundation Open Mainframe Project

CA Technologies is a founding Platinum member of The Linux Foundation’s new Open Mainframe Project.

The project is designed to create a collaborative environment among top industry leaders and academic institutions to drive both improvements and enterprise innovation on the mainframe. The project will initially focus on reinforcing four key areas: scalability, availability, performance and security.

The Linux Foundation is a non-profit consortium dedicated to fostering the growth of Linux and collaborative software development. As a founding Platinum-level member of the Open Mainframe Project, CA Technologies participation will help fuel innovation by participating in a neutral forum to drive support for Linux tools, associated hypervisors and open source components.

“As the application economy brings increased workload demands to organizations, advancements are needed to promote innovation on Linux systems. CA Technologies is proud to partner with the Linux Foundation and other founding companies to help progress innovation on the mainframe,” said David Hodgson, GM, Mainframe, CA Technologies. “As a leader in management tools for Linux platforms both on, and off, the mainframe, we are committed to investing in mainframe innovations that are secure, reliable and cost-effective.”

Linux has been on the mainframe for 15 years and has become a critical operating environment for its flexibility, openness and ability to handle complex and large workloads. The growth of Linux on the mainframe, coupled with its potential, validates the need that all companies should be educated on this option so they can make the right choices for workload placement in the Application Economy.

According to The Linux Foundation, 97 percent of hiring managers report they will bring on Linux talent relative to other skills areas in the next six months. The Open Mainframe Project’s academic partnerships with universities, such as Marist College, will ensure future mainframe developers can pursue innovative solutions on the mainframe to manage the future of mobile processing, cloud computing and virtualization.

“We are excited to extend our existing relationship with CA Technologies as they understand Linux will deliver the speed and efficiency needed to operate in this dynamic mobile and cloud computing landscape,” said Jim Zemlin, Executive Director at The Linux Foundation. “CA understands the potential that Linux has on the mainframe and other platforms. CA’s expertise and history of innovation makes them an ideal contributor to help us advance the most complex enterprise operations through The Open Mainframe Project.”

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CA Technologies Joins Linux Foundation Open Mainframe Project

CA Technologies is a founding Platinum member of The Linux Foundation’s new Open Mainframe Project.

The project is designed to create a collaborative environment among top industry leaders and academic institutions to drive both improvements and enterprise innovation on the mainframe. The project will initially focus on reinforcing four key areas: scalability, availability, performance and security.

The Linux Foundation is a non-profit consortium dedicated to fostering the growth of Linux and collaborative software development. As a founding Platinum-level member of the Open Mainframe Project, CA Technologies participation will help fuel innovation by participating in a neutral forum to drive support for Linux tools, associated hypervisors and open source components.

“As the application economy brings increased workload demands to organizations, advancements are needed to promote innovation on Linux systems. CA Technologies is proud to partner with the Linux Foundation and other founding companies to help progress innovation on the mainframe,” said David Hodgson, GM, Mainframe, CA Technologies. “As a leader in management tools for Linux platforms both on, and off, the mainframe, we are committed to investing in mainframe innovations that are secure, reliable and cost-effective.”

Linux has been on the mainframe for 15 years and has become a critical operating environment for its flexibility, openness and ability to handle complex and large workloads. The growth of Linux on the mainframe, coupled with its potential, validates the need that all companies should be educated on this option so they can make the right choices for workload placement in the Application Economy.

According to The Linux Foundation, 97 percent of hiring managers report they will bring on Linux talent relative to other skills areas in the next six months. The Open Mainframe Project’s academic partnerships with universities, such as Marist College, will ensure future mainframe developers can pursue innovative solutions on the mainframe to manage the future of mobile processing, cloud computing and virtualization.

“We are excited to extend our existing relationship with CA Technologies as they understand Linux will deliver the speed and efficiency needed to operate in this dynamic mobile and cloud computing landscape,” said Jim Zemlin, Executive Director at The Linux Foundation. “CA understands the potential that Linux has on the mainframe and other platforms. CA’s expertise and history of innovation makes them an ideal contributor to help us advance the most complex enterprise operations through The Open Mainframe Project.”

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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.