DDIA for Frontend Engineers
Reliability, caching, and data systems thinking from a frontend perspective.
The frontend is a data system
Frontend engineers regularly deal with replicated state: server data, client caches, optimistic updates, browser storage, and views derived from all of them. The scale may be smaller than a distributed database, but many of the reasoning problems are familiar.
Reliability starts by being explicit about ownership. Which source is authoritative? How stale may a view become? What happens when an update succeeds on the server but the response never reaches the browser?
Better questions produce calmer interfaces
Data-intensive design encourages us to define failure behavior before choosing a library. A cache is not only a performance tool. It is a consistency decision. An optimistic update is not only an animation. It is a temporary claim about the future.
Thinking this way helps frontend code move beyond happy-path data fetching and toward interfaces that remain understandable under real network conditions.