In-depth, decision-oriented analysis — the trade-offs and operational realities behind infrastructure choices, not just the headlines.
Three ways to run AI and GPU workloads in your own data center. What each does well and badly, and how to match the choice to your workload and your team.
Kubernetes became the default reflex for running containers, but for a large share of workloads it's operational overkill. A framework for when Kubernetes earns its complexity, and the simpler stacks that win when it doesn't.
A capability-by-capability tour of Portworx: its software-defined storage, synchronous replication and cross-region DR, and application-aware backup, noting where each layer pulls ahead of the common alternatives.
Surviving ransomware takes more than backups. It takes a layered recovery architecture: a physically air-gapped copy, analysis before data is locked to permanent WORM, a data landing zone, a clean room, and a restart room. This is the architecture that fulfils the optimum, defined by the capability each layer must deliver.
Feature checklists age badly. A durable hypervisor decision rests on operational fit, exit cost, and how a vendor behaves when you're locked in, not on who has the longest spec sheet.