Storage teams are under immense pressure to deliver resilient, high-performance infrastructure that can scale on demand, support emerging workloads such as AI and containerized applications, and maintain compliance with stringent data protection regulations. Yet, they must achieve all this while managing costs, reducing operational overhead, and navigating complex hybrid cloud environments.
Legacy storage architectures—and the fragmented toolchains that support them—often force teams into manual, error-prone processes. Disparate consoles,...