Have you noticed that the issues encountered on-chain are no longer purely technical problems but are becoming more like real-world issues.

Some time ago, I came across a developer working on a content DApp with about 18,000 daily active users, but it had a fatal flaw—the key data such as images, videos, and comments were all stored off-chain on traditional cloud storage. One day, the API crashed, and for six hours, data couldn't be accessed, causing 23% of users to leave. The community was filled with questions like "Is this project going to run away?"

In fact, the technology itself wasn't the problem. The issue was that the most important data was handed over to a centralized system—you can't see how it operates, can't audit it, and can't control it. That is the real fatal flaw.

Later, he started migrating to decentralized storage. Not because the solution was flashy, but because it was very practical: you don't need to trust anyone, as long as you can verify.

Data is no longer "lying on a company's server," but is broken into verifiable fragments scattered across the entire network. Even if 30% of the nodes go offline, the data can still be recovered. This is not just marketing talk—it's backed by erasure coding and redundancy architectures' solid capabilities.

Currently, he stores about 12TB of user content, with an additional 600 to 800GB of new data each month. The cost change isn't the biggest factor; the most significant change is the shift in trust structure.

Users no longer ask "Will it run away?" but instead inquire "Is your data stored on a decentralized solution?" This shift in questions itself indicates that a migration is underway.