Redundancy is a constant theme in CloudNetX because “high availability” is rarely achieved with one feature; it is achieved by eliminating single points of failure across dependencies. This episode defines redundancy as deliberate duplication that preserves service when a component fails, then clarifies that redundancy must be independent to matter. The first paragraph focuses on mapping dependencies outward from a critical service to identify hidden single points such as DNS, identity, time synchronization, routing gateways, and power feeds. It explains how redundancy can be applied to devices, links, and upstream providers, and how design choices determine whether a failure results in a graceful reduction of capacity or a complete outage. The goal is to connect uptime promises to concrete duplication decisions rather than vague claims of resilience.