State Management at Scale
Master state architecture for large frontend applications: when to use local vs global state, library trade-offs, server state, and state machine patterns.
State management is one of the most debated topics in frontend architecture. The right approach depends on your app's scale, team structure, and the nature of your data. This guide covers when to use which strategy, popular library trade-offs, and patterns that work for large-scale applications.
Local vs Global State — When to Use Which
The Colocation Principle
The best default is to keep state as local as possible. If a piece of state is only used within a single component or a small subtree, store it there with useState or useReducer. Colocation reduces coupling, makes components easier to test, and eliminates unnecessary re-renders. Ask: "Who needs this data?" If the answer is one component, keep it local.
When to Go Global
Lift state when multiple unrelated components need the same data, when you need to persist state across route changes, or when the data represents domain-level concerns (current user, auth status, theme). Shared UI state (modals, toasts, sidebar collapsed) often belongs in a lightweight global store rather than prop drilling through many layers.
Redux, Zustand, Jotai, Recoil — Comparing Approaches
Redux: The Battle-Tested Pattern
Redux provides predictable state updates via actions and reducers, excellent devtools, middleware for side effects, and a large ecosystem. It shines when you have complex update logic, need time-travel debugging, or want strict conventions. The trade-off: boilerplate and ceremony. Use Redux when your team values consistency, you have many developers touching state, or you need middleware for cross-cutting concerns (logging, analytics, persistence).
Zustand: Minimalist and Flexible
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