Most of what we've been talking about so far applies to one cluster, or group of servers, that is "virtualized" through various technologies to increase use or improve performance of demanding applications. In the evolution of enterprise computing, this represents a critical step in moving toward grander visions of "autonomic computing" (IBM's terminology), grid networking, and the distribution of computing resources on a global scale. The path forward is essentially defined by the limits of virtualization. Today, storage is virtualized through the implementation of SANs. Going forward, computing resources are being virtualized in clusters, and soon all the resources of an enterprise data center will be virtualizable.
The next step if it can be technically and economically justified to those businesses relying on high performance computing extends that model of virtualization across the campus area, the metro area, and ultimately the wide area. Once that happens, we'll have arrived at what got us interested in the first place: the Grid.
Scott Clavenna, Director of Research, Light Reading, and Rick Thompson, Principal Analyst, PointEast Research LLC
To realize the benefits of cloud-native software, an application must actually be cloud-native—designed to run in the cloud, interacting with disaggregated cloud services, fully manageable as code—to deliver the expected benefits.
By combining resources and expertise, the AI-Enabled ICT Workforce Consortium will offer a blueprint for how industries can adapt to an AI-dominated future.
IT leaders should heed the guidance of cybersecurity insurance providers who think businesses should prioritize security education, incident preparedness, regular internal audits, and ongoing vulnerability scanning and patching.
