Microservices architecture patterns and design. Use when user asks to "design microservices", "service decomposition", "API gateway", "distributed transactions", "circuit breaker", "service mesh", "event-driven architecture", "saga pattern", "service discovery", or mentions microservices design patterns and distributed systems.
Scanned 9/4/2026
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---
name: microservices-architecture
description: Microservices architecture patterns and design. Use when user asks to "design microservices", "service decomposition", "API gateway", "distributed transactions", "circuit breaker", "service mesh", "event-driven architecture", "saga pattern", "service discovery", or mentions microservices design patterns and distributed systems.
---
# Microservices Architecture
Patterns and best practices for designing and implementing microservices architectures.
## Core Patterns
### Service Decomposition
- Domain-driven design (bounded contexts)
- Business capability based
- Ownership clarity
- Technology diversity
### API Gateway Pattern
```
Client → API Gateway → Service 1
→ Service 2
→ Service 3
```
- Single entry point
- Authentication/authorization
- Request routing
- Rate limiting
### Database per Service
- Each service owns its database
- Data consistency challenges
- Enables technology diversity
### Event-Driven Communication
```
Service A → Event Bus → Service B
→ Service C
```
- Loose coupling
- Eventual consistency
- Event sourcing
## Reliability Patterns
### Circuit Breaker
```javascript
// Fails fast when service is unavailable
const breaker = new CircuitBreaker(async () => {
return await serviceCall();
}, {
threshold: 5, // Fail after 5 errors
timeout: 60000 // Check after 60s
});
```
### Retry Logic
```javascript
// Exponential backoff
const maxRetries = 3;
const baseDelay = 1000;
for (let i = 0; i < maxRetries; i++) {
try {
return await service.call();
} catch (e) {
if (i === maxRetries - 1) throw e;
await sleep(baseDelay * Math.pow(2, i));
}
}
```
### Timeout Management
- Set reasonable timeouts
- Cascading timeout calculation
- Fail fast strategy
## Consistency Patterns
### Two-Phase Commit (2PC)
- Synchronous, strong consistency
- Blocking, reduced availability
- Use sparingly
### Saga Pattern
```
Transaction 1: Service A
↓ success
Transaction 2: Service B
↓ success
Transaction 3: Service C
↓ failure → Compensating transactions
```
- Long-running transactions
- Eventual consistency
- Compensating actions on failure
### Event Sourcing
- Append-only event log
- Reconstible state
- Audit trail built-in
## Monitoring & Operations
### Distributed Tracing
- Correlate requests across services
- Identify latency bottlenecks
- Tools: Jaeger, Zipkin
### Logging
- Structured logging with correlation IDs
- Centralized log aggregation
- Tools: ELK, Splunk
### Metrics
- Per-service metrics
- Request latency, throughput
- Resource usage
## Service Mesh
### Istio/Linkerd
- Manages service-to-service communication
- Traffic management
- Security policies
- Observability
## Configuration Management
```yaml
# Environment-specific config
app:
database:
url: ${DB_URL}
timeout: ${DB_TIMEOUT:-5000}
cache:
ttl: ${CACHE_TTL:-3600}
security:
jwtSecret: ${JWT_SECRET}
```
## Deployment Strategies
### Blue-Green Deployment
- Two identical environments
- Switch traffic instantly
- Quick rollback
### Canary Deployment
- Gradual rollout to subset of users
- Monitor metrics
- Expand if successful
### Rolling Deployment
- Gradual replacement of old instances
- No downtime
- Longer deploy time
## API Design for Microservices
- RESTful or gRPC
- Versioning strategy
- Backward compatibility
- Documentation (OpenAPI)
## Challenges & Solutions
| Challenge | Solution |
|-----------|----------|
| Distributed transactions | Saga pattern, event sourcing |
| Data consistency | Eventual consistency acceptance |
| Service discovery | Service registry (Consul, Eureka) |
| Latency | Caching, async communication |
| Debugging | Distributed tracing, correlation IDs |
| Complexity | API gateway, service mesh |
## Team Organization
- Cross-functional teams per service
- Clear API contracts
- Ownership and accountability
- Communication patterns
## References
- Sam Newman - Building Microservices
- Chris Richardson - Microservices Patterns
- Kubernetes in Action
- AWS Microservices Architecture
- Kong API Gateway Guide
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