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Stress on Data Centers Driving Future Mainframe Growth, Says BMC Survey

The mobility movement and other technology trends are putting more stress on the data center than ever before. Consumers and business users demand access to applications from anywhere at any time, which means IT infrastructures must reliably support the rapidly increasing velocity, volume and variety of data. To get the job done, IT is continuing to turn to the mainframe for strategic advantage, according to BMC Software’s Annual Worldwide Survey of Mainframe Users.

IT experts throughout the United States, Europe and Asia-Pacific reported that the mainframe continues to be their platform of choice due to its superior availability, security, centralized data serving and performance capabilities.

But they also cited some challenges associated with mainframe growth, including struggles to reduce IT costs, speed recovery and simplify the increasingly complex mainframe and hybrid data center environment.

Global survey findings include:

- 90 percent of respondents consider mainframe to be a long-term solution, and 50 percent agreed it will attract new workloads. Asia-Pacific respondents reported the strongest outlook, as 57 percent expect to rely on the mainframe for new workloads.

- Keeping IT costs down remains the top priority, as 69 percent of respondents identified this as their major focus area, up from 60 percent from 2011.

- 59 percent expect MIPS capacity to grow as they modernize and add applications to address business needs. This highlights the need for software that minimizes expensive MIPS consumption and exploits the mainframe’s cost-efficient specialty engines.

- Concerns about the shortage of skilled mainframe staff plagues at least 75 percent of respondents, highlighting the need for more automated, self-learning software. While many organizations worry about mainframe staffing shortages because experts in the field are retiring, IT should be aware that better recruitment, training and outsourcing will not solve the problem alone.

- More than 55 percent reported they need to integrate the mainframe into enterprise IT systems comprised of multiple mainframe and distributed platforms. This further highlights the growing complexity of the hybrid data center and the need for simple, cross-platform solutions.

- While availability is a top benefit of the mainframe, 39 percent reported an unplanned outage, calling for advanced, accurate alerts to problems and fast recovery capabilities.

BMC’s seventh Annual Worldwide Mainframe Survey polled 1,264 mainframe users throughout the United States, Europe and Asia-Pacific. Fifty-four percent of the companies surveyed have revenues in excess of $1 billion. The survey pool was comprehensive and definitive and included pre-qualified respondents from across the mainframe industry. Participants provided insight into questions focused on the current and future state of the mainframe. Responses were then analyzed using standard statistical practices.

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Stress on Data Centers Driving Future Mainframe Growth, Says BMC Survey

The mobility movement and other technology trends are putting more stress on the data center than ever before. Consumers and business users demand access to applications from anywhere at any time, which means IT infrastructures must reliably support the rapidly increasing velocity, volume and variety of data. To get the job done, IT is continuing to turn to the mainframe for strategic advantage, according to BMC Software’s Annual Worldwide Survey of Mainframe Users.

IT experts throughout the United States, Europe and Asia-Pacific reported that the mainframe continues to be their platform of choice due to its superior availability, security, centralized data serving and performance capabilities.

But they also cited some challenges associated with mainframe growth, including struggles to reduce IT costs, speed recovery and simplify the increasingly complex mainframe and hybrid data center environment.

Global survey findings include:

- 90 percent of respondents consider mainframe to be a long-term solution, and 50 percent agreed it will attract new workloads. Asia-Pacific respondents reported the strongest outlook, as 57 percent expect to rely on the mainframe for new workloads.

- Keeping IT costs down remains the top priority, as 69 percent of respondents identified this as their major focus area, up from 60 percent from 2011.

- 59 percent expect MIPS capacity to grow as they modernize and add applications to address business needs. This highlights the need for software that minimizes expensive MIPS consumption and exploits the mainframe’s cost-efficient specialty engines.

- Concerns about the shortage of skilled mainframe staff plagues at least 75 percent of respondents, highlighting the need for more automated, self-learning software. While many organizations worry about mainframe staffing shortages because experts in the field are retiring, IT should be aware that better recruitment, training and outsourcing will not solve the problem alone.

- More than 55 percent reported they need to integrate the mainframe into enterprise IT systems comprised of multiple mainframe and distributed platforms. This further highlights the growing complexity of the hybrid data center and the need for simple, cross-platform solutions.

- While availability is a top benefit of the mainframe, 39 percent reported an unplanned outage, calling for advanced, accurate alerts to problems and fast recovery capabilities.

BMC’s seventh Annual Worldwide Mainframe Survey polled 1,264 mainframe users throughout the United States, Europe and Asia-Pacific. Fifty-four percent of the companies surveyed have revenues in excess of $1 billion. The survey pool was comprehensive and definitive and included pre-qualified respondents from across the mainframe industry. Participants provided insight into questions focused on the current and future state of the mainframe. Responses were then analyzed using standard statistical practices.

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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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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 ...