3. Key Components and Patterns of SOA.pptx
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Key components of Service Oriented Architecture
3. Key Components and Patterns of SOA.pptx
- 4. •Business Services: Represents the core services designed to execute specific business functionalities. Business services are further broken down into: • Contract: Defines the service interface (e.g., APIs) and how external systems interact with the service. • Implementation: The actual code or functionality that fulfills the service's purpose. • Interface: The mechanisms or protocols (e.g., REST, SOAP) used to access the service. • Data: Represents the underlying data that the service processes. • Business Logic: Encapsulates the functional rules or algorithms the service implements. •Service Repository: A centralized storage system where all services and their metadata are registered. It helps in discovering and managing services. •Enterprise Service Bus (ESB): Acts as a communication backbone to enable message routing, data transformation, and service orchestration across the SOA ecosystem. •Governance: Involves policies, security, monitoring, and compliance to ensure that services operate within defined rules and standards. •Front-End: Represents the client-facing applications or user interfaces that consume the services provided by the architecture.
- 7. Types of Patterns in SOA • Service-Oriented Architecture (SOA), design patterns provide reusable solutions to common problems encountered during the implementation of services. These patterns help ensure that the architecture is scalable, maintainable, and efficient.
- 8. 1. Architectural Patterns These patterns describe how to organize and structure the overall SOA system: • Service Composition: • Focuses on combining multiple services to form a single composite service. • Example: A payment processing system that uses authentication, billing, and notification services. • Service Bus: • Implements an Enterprise Service Bus (ESB) for communication between distributed services. • Ensures scalability and supports message routing, transformation, and protocol mediation. • Service Broker: • Acts as an intermediary to decouple the service consumer and provider. • Example: A registry service that helps locate and interact with available services. • Event-Driven SOA: • Services interact through event notifications rather than direct requests. • Ideal for real-time or asynchronous processing.
- 9. 2. Design Patterns • These patterns address the implementation of individual services and their interactions: • Service Contract Patterns: • Canonical Protocol: • Ensures all services use the same protocol for communication (e.g., SOAP, REST). • Standardized Service Contract: • Defines clear and consistent contracts to ensure interoperability. • Service Interaction Patterns: • Asynchronous Request-Reply: • Allows the consumer to continue processing while waiting for the provider’s response. • Service Callback: • Enables services to notify consumers when specific events occur. • Service Implementation Patterns: • Service Façade: • Creates a simplified interface for a complex service to abstract its complexity. • Service Gateway: • Handles transformations, protocol mediation, and security checks when integrating with external systems. • Service Messaging Patterns: • Message Routing: • Routes service requests to appropriate providers using routing rules. • Message Transformation: • Converts messages between different formats (e.g., XML to JSON).
- 10. 3. Security Patterns • These patterns ensure the security and integrity of the SOA ecosystem: • Service Perimeter Guard: • Protects services by enforcing security measures at the network boundary. • Example: Firewalls, intrusion detection systems. • Data Confidentiality: • Encrypts messages to ensure secure transmission between services. • Identity Propagation: • Ensures that user identities are passed across services to maintain access control consistency.
- 11. 4. Governance Patterns • These patterns focus on managing and monitoring services in SOA: • Service Registry: • Maintains a centralized repository for discovering, registering, and managing services. • Policy Centralization: • Ensures that all services adhere to a uniform set of policies (e.g., security, usage limits). • Versioning: • Manages different versions of services to avoid disruptions when services are updated.
- 12. 5. Deployment and Scalability Patterns • These patterns focus on the distribution and scalability of services: • Service Load Balancing: • Distributes incoming requests across multiple service instances to ensure high availability and performance. • Service Replication: • Creates replicas of services for scalability and fault tolerance. • Service Virtualization: • Abstracts service implementations, allowing multiple logical services to share a single physical service instance.
- 13. 6. Integration Patterns • These patterns enable SOA to integrate with external or legacy systems: • Adapter Pattern: • Bridges communication between incompatible systems (e.g., legacy systems and modern services). • Service Gateway: • Mediates integration with third-party systems by handling protocol and data format conversions. • Publish-Subscribe Pattern: • Services publish events that other services (subscribers) consume, facilitating decoupled interactions.
- 14. 7. Monitoring and Resiliency Patterns • These patterns focus on ensuring service reliability and detecting issues: • Service Monitoring: • Continuously tracks service health, performance, and usage. • Circuit Breaker: • Prevents cascading failures by halting requests to a failing service temporarily. • Retry Pattern: • Automatically retries failed service calls to ensure resiliency.