Many people see Walrus and immediately categorize it as "just another storage solution," but that idea is somewhat superficial. I took a close look at its design logic and found that what it truly aims to solve is not simply "whether data can be stored."

In Web3, storage has never been in short supply. Options like IPFS, centralized cloud services, and hybrid solutions are plentiful. But what are application developers really afraid of? The kind of uncertainty that lingers—will the storage solution still be reliable after half a year? Will prices suddenly increase? What if the interface changes one day? Can the data be fully retrieved? For any long-term operational application, these risks are far more critical than a slightly higher cost.

A series of design choices made by Walrus are actually targeted at addressing this pain point. It doesn't boast to be "the cheapest" or "the fastest," but instead focuses on the most critical variables—availability guarantees, data recoverability, and long-term predictability. This approach is somewhat akin to infrastructure thinking, emphasizing stable operation rather than pushing the limits of performance.

When looking at applications within the Sui ecosystem, I increasingly realize a reality: small applications are quite flexible with storage solutions, but once the data volume grows, "flexibility" becomes "luxury."