Namaste Frontend System Design [better] [ 360p 2024 ]

Once upon a time in the bustling world of tech, there was a common myth that "System Design" was a dark art reserved only for backend engineers. Frontend developers were often seen as "pixel pushers," focused on UI/UX while the heavy architectural lifting happened behind the scenes.

  1. Clarify Requirements: Is this a landing page? A dashboard? Read-only or write-heavy?
  2. Estimate Scale: How many API calls? Bundle size budget? (Keep initial JS < 150kB).
  3. Choose Framework & Meta-framework: Next.js (SSR), Vite (CSR), or Remix?
  4. Design the Data Flow: BFF? GraphQL? REST?
  5. State Strategy: React Query for server state, Zustand/Context for UI state.
  6. Rendering Strategy: What loads first? What lazy loads? Skeleton screens or spinners?
  7. Performance Optimizations: Code splitting, image optimization (WebP/AVIF), CDN for assets.
  8. Resilience: Error boundaries, retry logic, offline fallbacks.
  9. Security: Authentication token storage (HttpOnly cookies > localStorage), CSP headers.

Design Systems: Building a reusable component library (using tools like Storybook) ensures visual consistency. Namaste Frontend System Design

  • [ ] Build vs. Buy: Do I need a custom WebSocket solution, or can Firebase/Supabase handle this?
  • [ ] Authentication: Where is the JWT stored? (HttpOnly cookie vs. LocalStorage). How does refresh token rotation work?
  • [ ] Caching: Are we using Cache-Control headers for static assets? Are we using Service Workers for network resilience?
  • [ ] Module Federation: Are we building a Monolith or Micro-frontends? (Hint: Start with Monolith).
  • [ ] CI/CD & Observability: How do I know the app is broken? (Sentry for errors, Datadog for performance).

7. CI/CD and Release Strategy

  • Build artifacts as immutable packages (component library, micro-frontends).
  • Canary/feature-flagged releases.
  • Automatic performance budgets and failing builds for regressions.
  • Deploy previews for each PR for fast feedback.

When approaching a system design problem (or a high-level interview), you must look beyond the UI components. A robust system stands on four pillars: A. Scalability & Modularity Once upon a time in the bustling world

  • Component Design: Atoms, molecules, and organisms. Designing reusable, composable, and pure components.
  • State Management: Predicting state flow. Deep dives into patterns like Flux, Redux architecture, and atomic state libraries (Zustand/Recoil). It covers local state vs. global state vs. server state.
  • Design Patterns: Implementing standard patterns in a UI context:
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