Modernizing Enterprise Storage: How Automation and AI Are Changing Infrastructure Engineering
Enterprise storage infrastructure rarely receives attention until something goes wrong. Yet behind business applications, databases, analytics platforms, and digital services are complex systems responsible for storing, protecting, and making data available. As organizations accumulate larger volumes of information, modernizing these environments becomes an engineering challenge involving architecture, performance, connectivity, validation, and operational risk.
For Nikhil Kumar Aedla, a Principal Data Storage Engineer, enterprise storage modernization involves more than transferring information between platforms. His work supporting a multi-petabyte storage migration brings together infrastructure planning, storage area network (SAN) connectivity, automation, validation, and AI-assisted operational analysis. The approach reflects a broader question facing infrastructure teams: how can organizations modernize large storage environments while maintaining control over the systems and data that depend on them?
Why Enterprise Storage Modernization Is More Than a Data Transfer
Large enterprise storage environments often contain infrastructure introduced over many years. Different generations of storage platforms, interconnected hosts,...
Copyright of this story solely belongs to hackernoon.com. To see the full text click HERE
