IBM touts its Z series mainframes as the most reliable and cost-effective environments for certain workloads, but on Monday also acknowledged that the platform can drift towards hard-to-manage complexity that reduces resilience and therefore needs some help from AI. Big Blue admitted that not all mainframe estates exist in a state of perfect bliss in a Statement of Direction for a forthcoming product called “IBM Z Atlas” that the document describes as “an AI-native solution that uses system intelligence to ground AI skills and agents in the context of key workflows like planning and validating changes or modernizing applications and infrastructure.” “It intends to map a client’s entire z/OS stack across infrastructure, middleware, and applications, and then use that system intelligence to reduce the manual effort of tasks like patch management, regulatory response, and sharing knowledge across every team, from systems programmers to application developers.” Big Blue also hopes the tool helps mainframe techs and ops teams “better understand how components connect, interact, and depend on one another.” “IBM Z Atlas intends to eliminate the leading cause of unplanned z/OS outages – changes that aren’t proven to be safe – by mapping how a change impacts the z/OS stack, testing it, and validating it,” the Statement of Direction adds. “This design accelerates clients’ modernization efforts by keeping experts in control and giving every practitioner, in operations or development, the same shared Z system visibility to reduce risk.”…