
"For years,mainframes were synonymous with stability, but rarely with innovation. That image seems to be changing rapidly. New figures from BMC's annual mainframe survey show that confidence in the future of the platform has never been higher. No less than 97 percent of the professionals surveyed indicate that mainframes will remain part of their IT infrastructure. Increasingly, the system is even seen as a driver for new workloads."
"This shift is closely linked to a generational change in the profession. Whereas work on mainframes was long dominated by older specialists, a new generation is now coming through. Millennials and Gen Z now make up a substantial part of the workforce. They are remarkably positive about the growth potential of mainframes. Younger respondents are more likely to say they expect new applications and workloads to come to the platform."
"Application modernization is cited as a priority by a growing number of organizations, particularly in the largest environments where computing capacity is high. Companies are not limiting themselves to maintaining legacy applications, but are increasingly using the mainframe as a foundation for new digital initiatives. The use of DevOps is growing steadily, and AIOps is also rapidly gaining ground. Additionally, the survey reveals that generative AI has gained widespread acceptance in a relatively short period."
BMC's annual mainframe survey shows 97 percent of professionals expect mainframes to remain part of IT infrastructure. Millennials and Gen Z form a substantial portion of the mainframe workforce and express optimism about platform growth. Younger respondents expect new applications and workloads to move to mainframes, encouraging suppliers to invest in tooling aligned with modern working methods. Application modernization is a priority in large environments, with mainframes increasingly used as foundations for digital initiatives. DevOps adoption is growing, AIOps is gaining ground, and generative AI has seen rapid acceptance. Suppliers are integrating AI into management and development tools and deploying AI assistants for code explanations, diagnostics, and performance recommendations.
Read at Techzine Global
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