* Service Mesh
* Event driven
* Request-Reply
* ...
Introduction to Integration Architecture:
Definition and importance
Historical context: From monolithic to modular to microservices and beyond
Types of Integration:
Point-to-point vs. hub-and-spoke
Batch integration
Real-time integration
Synchronous vs. asynchronous communication
Integration Patterns and Styles:
Enterprise Integration Patterns (EIP) – e.g., Message Broker, Publish/Subscribe, Dead Letter Channel, etc.
Integration styles: Database, File transfer, Shared API, Messaging, etc.
Service-oriented architecture (SOA) and event-driven architecture (EDA)
APIs & Services:
REST, SOAP, GraphQL
API Gateways and Management
Versioning strategies
OAuth, JWT, and API security
Middleware & Brokers:
Message queues (e.g., RabbitMQ, Kafka)
Enterprise service bus (ESB)
Integration Platforms as a Service (iPaaS)
Service Mesh:
Introduction to Service Mesh
Implementations like Istio, Linkerd, and Consul Connect
Use cases, benefits, and drawbacks
Data Integration:
ETL (Extract, Transform, Load) processes
ELT (Extract, Load, Transform) processes
Data lakes, data warehouses, and data hubs
Streaming data and real-time analytics
Integration Security:
Secure data transmission
Data masking and tokenization
Identity and access management in integration contexts
Monitoring, Logging, and Tracing:
Importance of observability in integration scenarios
Tools and practices for monitoring integrated systems
Distributed tracing (e.g., Jaeger, Zipkin)
Event Sourcing and CQRS (Command Query Responsibility Segregation):
Concepts and benefits
Implementation strategies and considerations
Containerization & Orchestration:
Docker, Kubernetes, and their role in integration
Service discovery and scaling in microservices environments
Integration Testing:
Contract testing
End-to-end testing strategies
Mocking and stubbing external systems
Architecture Documentation and Standards:
Documenting integration points, flows, and dependencies
Establishing and enforcing integration standards and best practices
Future Trends & Emerging Technologies:
Serverless architectures and their impact on integration
Edge computing and integration
AI/ML in integration scenarios
Case Studies and Real-world Examples:
Discussing real-world integration challenges and solutions
Lessons learned from successful and failed integrations