Integration Patterns

This section covers integration patterns and communication strategies for distributed systems and microservices.

Topics Covered

🔄 Communication Patterns

• Event-Driven Architecture - Asynchronous communication through events

Coming Soon

📡 API Integration Patterns

• API Gateway Pattern - Centralized API management and routing

• Backend for Frontend (BFF) - Client-specific API optimization

• GraphQL Federation - Schema stitching and microservices integration

• RESTful API Design - Resource-oriented architecture principles

🔗 Service Communication

• Synchronous Communication

  • HTTP/REST APIs

  • gRPC for high-performance communication

  • GraphQL for flexible data fetching

• Asynchronous Communication

  • Message queues (SQS, RabbitMQ)

  • Event streaming (Kafka, Kinesis)

  • Pub/Sub patterns

🛠️ Integration Infrastructure

• Message Brokers - RabbitMQ, Apache Kafka, AWS SQS/SNS

• Service Mesh - Istio, Linkerd for service-to-service communication

• Load Balancers - Application and network load balancing strategies

• Circuit Breaker Pattern - Fault tolerance and resilience

📋 Orchestration Patterns

• Saga Pattern - Distributed transaction management

  • Choreography vs Orchestration

  • Compensation patterns

• Workflow Orchestration - AWS Step Functions, Temporal

• State Machines - Managing complex business processes

🔄 Data Integration

• Event Sourcing - Event-driven data consistency

• CQRS Integration - Command and Query separation

• Change Data Capture (CDC) - Real-time data synchronization

• Data Streaming Patterns - Real-time data flow management

Key Principles

• Loose Coupling - Minimal dependencies between services

• High Cohesion - Related functionality grouped together

• Fault Tolerance - Graceful degradation and error handling

• Idempotency - Safe retry mechanisms

• Eventual Consistency - Managing distributed data consistency

• Message Ordering - Handling sequence-dependent operations

Technology Stack

AWS Integration Services

• Messaging: SQS, SNS, EventBridge

• API Management: API Gateway, Application Load Balancer

• Orchestration: Step Functions, Lambda

• Streaming: Kinesis, MSK (Managed Kafka)

Integration Frameworks

• Message Brokers: Apache Kafka, RabbitMQ, Redis

• API Gateways: Kong, Zuul, Ambassador

• Service Mesh: Istio, Linkerd, Consul Connect

• Workflow Engines: Temporal, Zeebe, Camunda

Best Practices

• Design for Failure - Assume network and service failures

• Monitor Everything - Distributed tracing and observability

• Version APIs - Backward compatibility strategies

• Secure Communication - TLS, authentication, and authorization

• Rate Limiting - Protect services from overload

• Graceful Degradation - Fallback mechanisms for service unavailability