# Fullstack Architecture Patterns
Proven architectural patterns for scalable fullstack applications covering frontend, backend, and their integration.
---
## Table of Contents
- [Frontend Architecture](#frontend-architecture)
- [Backend Architecture](#backend-architecture)
- [API Design Patterns](#api-design-patterns)
- [Database Patterns](#database-patterns)
- [Caching Strategies](#caching-strategies)
- [Authentication Architecture](#authentication-architecture)
---
## Frontend Architecture
### Component Architecture
**Atomic Design Pattern**
Organize components in hierarchical levels:
```
src/components/
├── atoms/ # Button, Input, Icon
├── molecules/ # SearchInput, FormField
├── organisms/ # Header, Footer, Sidebar
├── templates/ # PageLayout, DashboardLayout
└── pages/ # Home, Profile, Settings
```
**When to use:** Large applications with design systems and multiple teams.
**Container/Presentational Pattern**
```typescript
// Presentational - pure rendering, no state
function UserCard({ name, email, avatar }: UserCardProps) {
return (
{name}
{email}
);
}
// Container - handles data fetching and state
function UserCardContainer({ userId }: { userId: string }) {
const { data, loading } = useUser(userId);
if (loading) return ;
return ;
}
```
**When to use:** When you need clear separation between UI and logic.
### State Management Patterns
**Server State vs Client State**
| Type | Examples | Tools |
|------|----------|-------|
| Server State | User data, API responses | React Query, SWR |
| Client State | UI toggles, form inputs | Zustand, Jotai |
| URL State | Filters, pagination | Next.js router |
**React Query for Server State:**
```typescript
function useUsers(filters: Filters) {
return useQuery({
queryKey: ["users", filters],
queryFn: () => api.getUsers(filters),
staleTime: 5 * 60 * 1000, // 5 minutes
gcTime: 30 * 60 * 1000, // 30 minutes
});
}
// Mutations with optimistic updates
function useUpdateUser() {
const queryClient = useQueryClient();
return useMutation({
mutationFn: api.updateUser,
onMutate: async (newUser) => {
await queryClient.cancelQueries({ queryKey: ["users"] });
const previous = queryClient.getQueryData(["users"]);
queryClient.setQueryData(["users"], (old) =>
old.map(u => u.id === newUser.id ? newUser : u)
);
return { previous };
},
onError: (err, newUser, context) => {
queryClient.setQueryData(["users"], context.previous);
},
onSettled: () => {
queryClient.invalidateQueries({ queryKey: ["users"] });
},
});
}
```
---
## Backend Architecture
### Clean Architecture
```
src/
├── domain/ # Business entities, no dependencies
│ ├── entities/ # User, Order, Product
│ └── interfaces/ # Repository interfaces
├── application/ # Use cases, application logic
│ ├── use-cases/ # CreateOrder, UpdateUser
│ └── services/ # OrderService, AuthService
├── infrastructure/ # External concerns
│ ├── database/ # Repository implementations
│ ├── http/ # Controllers, middleware
│ └── external/ # Third-party integrations
└── shared/ # Cross-cutting concerns
├── errors/
└── utils/
```
**Dependency Flow:** domain ← application ← infrastructure
**Repository Pattern:**
```typescript
// Domain interface
interface UserRepository {
findById(id: string): Promise;
findByEmail(email: string): Promise;
save(user: User): Promise;
delete(id: string): Promise;
}
// Infrastructure implementation
class PostgresUserRepository implements UserRepository {
constructor(private db: Database) {}
async findById(id: string): Promise {
const row = await this.db.query(
"SELECT * FROM users WHERE id = $1",
[id]
);
return row ? this.toEntity(row) : null;
}
private toEntity(row: UserRow): User {
return new User({
id: row.id,
email: row.email,
name: row.name,
createdAt: row.created_at,
});
}
}
```
### Middleware Pipeline
```typescript
// Express middleware chain
app.use(cors());
app.use(helmet());
app.use(requestId());
app.use(logger());
app.use(authenticate());
app.use(rateLimit());
app.use("/api", routes);
app.use(errorHandler());
// Custom middleware example
function requestId() {
return (req: Request, res: Response, next: NextFunction) => {
req.id = req.headers["x-request-id"] || crypto.randomUUID();
res.setHeader("x-request-id", req.id);
next();
};
}
function errorHandler() {
return (err: Error, req: Request, res: Response, next: NextFunction) => {
const status = err instanceof AppError ? err.status : 500;
const message = status === 500 ? "Internal Server Error" : err.message;
logger.error({ err, requestId: req.id });
res.status(status).json({ error: message, requestId: req.id });
};
}
```
---
## API Design Patterns
### REST Best Practices
**Resource Naming:**
- Use nouns, not verbs: `/users` not `/getUsers`
- Use plural: `/users` not `/user`
- Nest for relationships: `/users/{id}/orders`
**HTTP Methods:**
| Method | Purpose | Idempotent |
|--------|---------|------------|
| GET | Retrieve | Yes |
| POST | Create | No |
| PUT | Replace | Yes |
| PATCH | Partial update | No |
| DELETE | Remove | Yes |
**Response Envelope:**
```typescript
// Success response
{
"data": { /* resource */ },
"meta": {
"requestId": "abc-123",
"timestamp": "2024-01-15T10:30:00Z"
}
}
// Paginated response
{
"data": [/* items */],
"pagination": {
"page": 1,
"pageSize": 20,
"total": 150,
"totalPages": 8
}
}
// Error response
{
"error": {
"code": "VALIDATION_ERROR",
"message": "Invalid input",
"details": [
{ "field": "email", "message": "Invalid email format" }
]
},
"meta": { "requestId": "abc-123" }
}
```
### GraphQL Architecture
**Schema-First Design:**
```graphql
type Query {
user(id: ID!): User
users(filter: UserFilter, page: PageInput): UserConnection!
}
type Mutation {
createUser(input: CreateUserInput!): UserPayload!
updateUser(id: ID!, input: UpdateUserInput!): UserPayload!
}
type User {
id: ID!
email: String!
profile: Profile
orders(first: Int, after: String): OrderConnection!
}
type UserPayload {
user: User
errors: [Error!]
}
```
**Resolver Pattern:**
```typescript
const resolvers = {
Query: {
user: async (_, { id }, { dataSources }) => {
return dataSources.userAPI.findById(id);
},
},
User: {
// Field resolver for related data
orders: async (user, { first, after }, { dataSources }) => {
return dataSources.orderAPI.findByUserId(user.id, { first, after });
},
},
};
```
**DataLoader for N+1 Prevention:**
```typescript
const userLoader = new DataLoader(async (userIds: string[]) => {
const users = await db.query(
"SELECT * FROM users WHERE id = ANY($1)",
[userIds]
);
// Return in same order as input
return userIds.map(id => users.find(u => u.id === id));
});
```
---
## Database Patterns
### Connection Pooling
```typescript
// PostgreSQL with connection pool
const pool = new Pool({
host: process.env.DB_HOST,
database: process.env.DB_NAME,
user: process.env.DB_USER,
password: process.env.DB_PASSWORD,
max: 20, // Maximum connections
idleTimeoutMillis: 30000, // Close idle connections
connectionTimeoutMillis: 2000,
});
// Prisma with connection pool
const prisma = new PrismaClient({
datasources: {
db: {
url: `${process.env.DATABASE_URL}?connection_limit=20&pool_timeout=10`,
},
},
});
```
### Transaction Patterns
```typescript
// Unit of Work pattern
async function transferFunds(from: string, to: string, amount: number) {
return await prisma.$transaction(async (tx) => {
const sender = await tx.account.update({
where: { id: from },
data: { balance: { decrement: amount } },
});
if (sender.balance < 0) {
throw new InsufficientFundsError();
}
await tx.account.update({
where: { id: to },
data: { balance: { increment: amount } },
});
return tx.transaction.create({
data: { fromId: from, toId: to, amount },
});
});
}
```
### Read Replicas
```typescript
// Route reads to replica
const readDB = new PrismaClient({
datasources: { db: { url: process.env.READ_DATABASE_URL } },
});
const writeDB = new PrismaClient({
datasources: { db: { url: process.env.WRITE_DATABASE_URL } },
});
class UserRepository {
async findById(id: string) {
return readDB.user.findUnique({ where: { id } });
}
async create(data: CreateUserData) {
return writeDB.user.create({ data });
}
}
```
---
## Caching Strategies
### Cache Layers
```
Request → CDN Cache → Application Cache → Database Cache → Database
```
**Cache-Aside Pattern:**
```typescript
async function getUser(id: string): Promise {
const cacheKey = `user:${id}`;
// 1. Try cache
const cached = await redis.get(cacheKey);
if (cached) {
return JSON.parse(cached);
}
// 2. Fetch from database
const user = await db.user.findUnique({ where: { id } });
if (!user) throw new NotFoundError();
// 3. Store in cache
await redis.set(cacheKey, JSON.stringify(user), "EX", 3600);
return user;
}
// Invalidate on update
async function updateUser(id: string, data: UpdateData): Promise {
const user = await db.user.update({ where: { id }, data });
await redis.del(`user:${id}`);
return user;
}
```
**HTTP Cache Headers:**
```typescript
// Immutable assets (hashed filenames)
res.setHeader("Cache-Control", "public, max-age=31536000, immutable");
// API responses
res.setHeader("Cache-Control", "private, max-age=0, must-revalidate");
res.setHeader("ETag", generateETag(data));
// Static pages
res.setHeader("Cache-Control", "public, max-age=3600, stale-while-revalidate=86400");
```
---
## Authentication Architecture
### JWT + Refresh Token Flow
```
1. User logs in → Server returns access token (15min) + refresh token (7d)
2. Client stores tokens (httpOnly cookie for refresh, memory for access)
3. Access token expires → Client uses refresh token to get new pair
4. Refresh token expires → User must log in again
```
**Implementation:**
```typescript
// Token generation
function generateTokens(user: User) {
const accessToken = jwt.sign(
{ sub: user.id, email: user.email },
process.env.JWT_SECRET,
{ expiresIn: "15m" }
);
const refreshToken = jwt.sign(
{ sub: user.id, tokenVersion: user.tokenVersion },
process.env.REFRESH_SECRET,
{ expiresIn: "7d" }
);
return { accessToken, refreshToken };
}
// Refresh endpoint
app.post("/auth/refresh", async (req, res) => {
const refreshToken = req.cookies.refreshToken;
try {
const payload = jwt.verify(refreshToken, process.env.REFRESH_SECRET);
const user = await db.user.findUnique({ where: { id: payload.sub } });
// Check token version (invalidation mechanism)
if (user.tokenVersion !== payload.tokenVersion) {
throw new Error("Token revoked");
}
const tokens = generateTokens(user);
setRefreshCookie(res, tokens.refreshToken);
res.json({ accessToken: tokens.accessToken });
} catch {
res.status(401).json({ error: "Invalid refresh token" });
}
});
```
### Session-Based Auth
```typescript
// Redis session store
app.use(session({
store: new RedisStore({ client: redisClient }),
secret: process.env.SESSION_SECRET,
resave: false,
saveUninitialized: false,
cookie: {
secure: process.env.NODE_ENV === "production",
httpOnly: true,
sameSite: "lax",
maxAge: 7 * 24 * 60 * 60 * 1000, // 7 days
},
}));
// Login
app.post("/auth/login", async (req, res) => {
const user = await authenticate(req.body.email, req.body.password);
req.session.userId = user.id;
res.json({ user });
});
// Middleware
function requireAuth(req, res, next) {
if (!req.session.userId) {
return res.status(401).json({ error: "Authentication required" });
}
next();
}
```
---
## Decision Matrix
| Pattern | Complexity | Scalability | When to Use |
|---------|-----------|-------------|-------------|
| Monolith | Low | Medium | MVPs, small teams |
| Modular Monolith | Medium | High | Growing teams |
| Microservices | High | Very High | Large orgs, diverse tech |
| REST | Low | High | CRUD APIs, public APIs |
| GraphQL | Medium | High | Complex data needs, mobile apps |
| JWT Auth | Low | High | Stateless APIs, microservices |
| Session Auth | Low | Medium | Traditional web apps |