Easy Workload Orchestration Across Data Ecosystems

Diminishing skills in administration staff of IBM zSystems (also known as Mainframes) have been a concern since the early 1990s, and there has been nearly no substantial improvement since then. Many z/OS administrators hired in the nineties have retired or are nearing retirement, with no skilled replacements in sight. This shortage of skilled z/OS administrators poses a significant challenge for companies that rely on mainframes for business-critical processes. This article demonstrates how to delegate typical mainframe administration tasks to employees with limited or no mainframe experience, thereby making more efficient use of the remaining mainframe skills within the company.

Data centers are at a turning point: The constant increase in data volumes, the growing demand for AI applications and the growing complexity of hybrid IT landscapes are shaping the industry. While hyperscalers like Amazon are investing billions in IT infrastructure expansion, traditional data center operators need to adapt to keep pace with the demands of modern technologies. This article offers a glimpse into the future of data centers and highlights the most exciting trends and challenges.

A leading North American insurer, embarked on a transformative IT project to modernize its core report and log management systems. With over 20,000 employees and many more agents, the organization relies on efficient, reliable access to operational and business-critical reports in its daily workflows. These reports, generated and distributed by the legacy CA View and CA Deliver systems hosted on IBM z/OS platforms, were deeply embedded in the company’s operations. Virtually all business users depended on these reports for decision-making, creating a widespread dependency across the organization.