Microservices Architecture
Design and implement microservices architecture for scalable, maintainable systems. Service design, communication, and deployment strategies.
Microservices Architecture
Build scalable, resilient systems with microservices architecture.
What Are Microservices?
Microservices break down applications into small, independent services that:
- Run independently
- Scale individually
- Deploy separately
- Use the right technology for each service
Our Services
- Architecture Design: Service boundaries and communication
- Service Implementation: Building individual services
- API Gateway: Unified entry point for services
- Service Mesh: Inter-service communication
- Containerization: Docker and Kubernetes deployment
Architecture Components
Service Design
- Domain-driven design (DDD)
- Bounded contexts
- Service contracts
- API versioning
- Event sourcing
Communication Patterns
- Synchronous: REST, GraphQL, gRPC
- Asynchronous: Message queues, event streaming
- Service Discovery: Consul, Eureka
- Load Balancing: Nginx, HAProxy
Data Management
- Database per service
- Event-driven data sync
- CQRS pattern
- Saga pattern for transactions
Infrastructure
Containerization
- Docker images
- Docker Compose for development
- Multi-stage builds
- Image optimization
Orchestration
- Kubernetes deployment
- Helm charts
- Auto-scaling
- Rolling updates
- Health checks
Service Mesh
- Istio / Linkerd
- Traffic management
- Service-to-service security
- Observability
Observability
Monitoring
- Prometheus metrics
- Grafana dashboards
- Alert management
- Resource monitoring
Logging
- Centralized logging
- ELK Stack / Loki
- Log aggregation
- Search and analysis
Tracing
- Distributed tracing
- Jaeger / Zipkin
- Request correlation
- Performance analysis
Security
- Service authentication (mTLS)
- API gateway security
- Secret management (Vault)
- Network policies
- Container security
CI/CD Pipeline
- Automated testing
- Container registry
- GitOps deployment
- Canary releases
- Rollback strategies
Benefits of Microservices
- Scalability: Scale services independently
- Flexibility: Use different technologies
- Resilience: Fault isolation
- Deployment: Independent deployments
- Team Autonomy: Teams own services
When to Use Microservices
Good fit:
- Large, complex applications
- Multiple development teams
- High scalability requirements
- Diverse technology needs
Consider alternatives:
- Small applications
- Limited team resources
- Simple domains
Technologies We Use
- Languages: Node.js, Python, Go, Java
- Containers: Docker, Kubernetes
- Messaging: RabbitMQ, Kafka, NATS
- Databases: PostgreSQL, MongoDB, Redis
- Service Mesh: Istio, Linkerd
Get Started
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