Web Development

    Micro Frontends: When and How to Split Your Frontend

    Micro frontends apply microservices principles to the frontend. Learn when this architecture makes sense and how to implement it without creating chaos.

    VT
    11 min read
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    Micro frontends decompose a large frontend application into smaller, independently deployable pieces owned by different teams. Each team owns a vertical slice of the user experience.

    When micro frontends make sense: multiple teams working on the same frontend, need for independent deployment cycles, teams wanting different technology choices, or a legacy application requiring incremental modernization.

    When micro frontends do not make sense: small teams (under 20 developers), single-product applications, or when the complexity cost exceeds the organizational benefit. Most applications do not need micro frontends.

    Module Federation (webpack): share modules between independently built applications at runtime. One application exposes components, another consumes them. The most popular micro frontend approach for React applications.

    Composition approaches: build-time composition (npm packages), runtime composition (Module Federation), server-side composition (ESI/SSI), and iframe isolation (simplest but most limited).

    Shared dependencies: avoid loading React multiple times. Share common libraries through Module Federation's shared configuration. Version mismatches are the most common micro frontend challenge.

    Design system consistency: a shared component library ensures visual consistency across micro frontends. The design system should be the only dependency all micro frontends share.

    State management across micro frontends: minimize shared state. Use custom events, a shared event bus, or URL parameters for communication between micro frontends. Tight coupling defeats the purpose.

    Routing: decide between a shell application managing all routes, each micro frontend owning its routes, or a combination. The shell approach is simpler for users but creates a coordination point.

    Performance implications: multiple bundles, duplicate dependencies, and cross-origin requests add overhead. Careful optimization (shared chunks, lazy loading, CDN caching) mitigates performance impact.

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