Admin Panel System
System design for admin panel with CRUD operations, advanced tables, and permissions
Design an admin panel system for managing data, users, and system configuration.
R - Requirements
Key Questions:
- How many entities? (users, products, orders, etc.)
- CRUD operations? (create, read, update, delete)
- Permissions? (role-based access control)
- Bulk operations? (delete multiple, update multiple)
- Advanced filters? (date range, search, multi-select)
- Export data? (CSV, Excel, PDF)
Common Answers:
- Multiple entities (10-20+)
- Full CRUD operations
- Role-based permissions (admin, editor, viewer)
- Bulk operations supported
- Advanced filtering and search
- Export to CSV/Excel
A - Architecture
CRUD Operations Flow:
Admin Panel Architecture:
Architecture Decisions:
- SSR/ISR for admin pages (SEO less critical, but faster loads) - Faster initial load
- Client-side for interactivity (filters, tables) - Fast filtering, sorting
- Permission system (frontend + backend validation) - Hide features, backend enforces
- Microfrontends? (if multiple teams manage different sections) - Independent deployments
Relevant Content:
- Pre-rendering - SSR/ISR
- Microfrontends - Multi-team
D - Data Model
Talking Points:
- CRUD operations - Create, Read, Update, Delete with optimistic UI
- Advanced table features - Sorting, filtering, pagination, selection
- Bulk operations - Select multiple, batch update/delete
- Permission system - Role-based access, hide/show features
State Management:
- Entity data (normalized cache)
- Table state (sort, filter, pagination, selection)
- Form state (create/edit modals)
- Permission state (user roles, feature flags)
Caching:
- Entity cache (normalized, by ID)
- Table cache (filtered/sorted results)
- Permission cache (user roles, feature access)
Relevant Content:
- Data Table Component - Table patterns
- Caching Patterns - Entity cache
- Optimistic Updates - CRUD operations
I - Interface
Talking Points:
- Admin dashboard - Overview metrics, charts, recent activity
- Entity list pages - Data tables with filters, search, pagination
- Entity detail pages - View/edit forms, related data, history
- Bulk operations UI - Select all, batch actions, progress indicators
Features:
- Dashboard (metrics, charts, widgets)
- Entity list (data table, filters, search)
- Entity detail (view/edit form)
- Create/Edit modals (form with validation)
- Bulk operations (select multiple, batch actions)
- Permission-based UI (hide/show features)
Relevant Content:
- Data Table Component - Advanced tables
- Modal Dialog Component - Create/edit modals
- Dashboard/Analytics - Dashboard patterns
O - Optimizations
Performance:
- Virtualized tables (for large datasets)
- Optimistic UI (show changes immediately, sync in background)
- Request deduplication (same entity = same request)
- Code splitting (lazy load entity modules)
UX:
- Bulk operations (select all, batch actions)
- Advanced filters (save filter presets)
- Export functionality (CSV, Excel, background job)
Relevant Content:
- Virtualized List - Large tables
- Optimistic Updates - Instant feedback
- Request Deduplication - Avoid duplicates
Implementation Checklist
- Dashboard (metrics, charts, widgets)
- Entity list pages (data table, filters, search)
- Entity detail pages (view/edit forms)
- Create/Edit modals (form validation)
- Bulk operations (select multiple, batch actions)
- Advanced filters (date range, multi-select, save presets)
- Permission system (role-based UI, feature flags)
- Export functionality (CSV, Excel, background job)
- Virtualized tables (large datasets)
- Optimistic UI (instant feedback)
Common Pitfalls
❌ No optimistic UI → Slow, unresponsive
✅ Show changes immediately, sync in background
❌ Rendering all rows → Performance issues
✅ Virtualize tables, paginate or infinite scroll
❌ No permission checks → Security issues
✅ Frontend + backend validation, hide features based on role
❌ No bulk operations → Inefficient for large datasets
✅ Select multiple, batch update/delete, show progress