Application design changes once real users arrive. Early prototypes may work with small datasets, but production environments require storage systems that can handle growing content and persistent state. Walrus fits into this stage by acting as a decentralized storage layer for large application objects.
Developers can use Walrus to store data such as images, metadata, and long-lived records while keeping smart contracts focused on execution. This separation simplifies architecture and reduces technical debt as applications evolve.
By planning for data growth from the beginning, teams using Walrus avoid the need to migrate storage systems later. This makes Walrus particularly relevant for applications built with long-term usage in mind.
