Integration Patterns

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

Topics Covered

πŸ”„ Communication Patterns

Coming Soon

πŸ“‘ 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

πŸ”— 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

πŸ› οΈ 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

πŸ“‹ Orchestration Patterns

  • Saga Pattern - Distributed transaction management

    • Choreography vs Orchestration

    • Compensation patterns

  • Workflow Orchestration - AWS Step Functions, Temporal

  • State Machines - Managing complex business processes

πŸ”„ 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

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