Microservices design patterns including service mesh, event-driven architecture, saga pattern, and API gateway. Use when building UI with microservices design language and visual style.
Scanned 9/8/2026
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---
name: microservices-design
description: Microservices design patterns including service mesh, event-driven architecture, saga pattern, and API gateway. Use when building UI with microservices design language and visual style.
license: CC-BY-NC-SA-4.0
---
# Microservices Design
## Service Boundaries
Define services around business capabilities, not technical layers. Each service owns its data store and exposes a clear API contract.
```
order-service/ -> owns orders table, publishes OrderCreated events
inventory-service/ -> owns inventory table, subscribes to OrderCreated
payment-service/ -> owns payments table, handles payment processing
notification-service -> stateless, subscribes to events, sends emails/SMS
```
## Event-Driven Communication
```typescript
interface DomainEvent {
eventId: string;
eventType: string;
aggregateId: string;
timestamp: string;
version: number;
payload: Record<string, unknown>;
}
const orderCreatedEvent: DomainEvent = {
eventId: crypto.randomUUID(),
eventType: "order.created",
aggregateId: orderId,
timestamp: new Date().toISOString(),
version: 1,
payload: { customerId, items, totalAmount },
};
await broker.publish("orders", orderCreatedEvent);
```
```typescript
async function handleOrderCreated(event: DomainEvent) {
const { items } = event.payload as OrderPayload;
for (const item of items) {
await db.inventory.update({
where: { productId: item.productId },
data: { quantity: { decrement: item.quantity } },
});
}
await markEventProcessed(event.eventId);
}
```
Use idempotency keys (`eventId`) to handle duplicate deliveries safely.
## Saga Pattern (Orchestration)
```typescript
class OrderSaga {
private steps: SagaStep[] = [
{
name: "reserveInventory",
execute: (ctx) => inventoryService.reserve(ctx.items),
compensate: (ctx) => inventoryService.release(ctx.items),
},
{
name: "processPayment",
execute: (ctx) => paymentService.charge(ctx.customerId, ctx.amount),
compensate: (ctx) => paymentService.refund(ctx.paymentId),
},
{
name: "confirmOrder",
execute: (ctx) => orderService.confirm(ctx.orderId),
compensate: (ctx) => orderService.cancel(ctx.orderId),
},
];
async run(context: SagaContext): Promise<void> {
const completed: SagaStep[] = [];
for (const step of this.steps) {
try {
const result = await step.execute(context);
Object.assign(context, result);
completed.push(step);
} catch (error) {
for (const s of completed.reverse()) {
await s.compensate(context);
}
throw new SagaFailedError(step.name, error);
}
}
}
}
```
## API Gateway Pattern
```yaml
# Kong or similar gateway config
services:
- name: orders
url: http://order-service:3000
routes:
- paths: ["/api/v1/orders"]
methods: [GET, POST]
plugins:
- name: rate-limiting
config:
minute: 100
- name: jwt
- name: correlation-id
- name: users
url: http://user-service:3000
routes:
- paths: ["/api/v1/users"]
plugins:
- name: rate-limiting
config:
minute: 200
```
## Health Check Pattern
```typescript
app.get("/health", async (req, res) => {
const checks = {
database: await checkDatabase(),
cache: await checkRedis(),
broker: await checkMessageBroker(),
};
const healthy = Object.values(checks).every(c => c.status === "up");
res.status(healthy ? 200 : 503).json({
status: healthy ? "healthy" : "degraded",
checks,
version: process.env.APP_VERSION,
uptime: process.uptime(),
});
});
```
## Anti-Patterns
- Sharing a database between services (tight coupling)
- Synchronous HTTP chains across multiple services (cascading failures)
- Building a distributed monolith (services cannot deploy independently)
- Missing circuit breakers on inter-service calls
- Not implementing idempotency for event handlers
- Using distributed transactions instead of sagas
## Checklist
- [ ] Each service owns its own data store
- [ ] Services communicate via events for async workflows
- [ ] Saga pattern used for multi-service transactions with compensation
- [ ] Circuit breakers protect against cascading failures
- [ ] API gateway handles routing, rate limiting, and authentication
- [ ] Health check endpoints report dependency status
- [ ] Event handlers are idempotent (safe to process duplicates)
- [ ] Services can be deployed and scaled independently
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