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feat: Add comprehensive REST API integration patterns
- OAuth 2.0 integration with PKCE and token management - Advanced retry mechanism with exponential backoff and circuit breaker - Multiple rate limiting strategies (token bucket, sliding window, fixed window) - Intelligent response caching with compression and encryption - Updated documentation with detailed pattern descriptions Each pattern includes extensive error handling, security considerations, and production-ready implementations for ServiceNow integrations.
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‎Integration/REST API Patterns/README.md‎

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# Advanced REST API Integration Patterns
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This collection provides comprehensive patterns and best practices for integrating ServiceNow with external systems using REST APIs.
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## Overview
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Modern ServiceNow integrations require robust, scalable, and maintainable REST API patterns. These snippets demonstrate enterprise-grade integration techniques including error handling, authentication, rate limiting, and data transformation.
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## Integration Patterns Included
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### Authentication & Security
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- **OAuth 2.0 Integration**: Complete OAuth flow implementation
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- **API Key Management**: Secure API key handling and rotation
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- **JWT Token Handling**: JSON Web Token authentication patterns
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- **Certificate-Based Auth**: Mutual TLS authentication examples
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### Error Handling & Resilience
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- **Retry Mechanisms**: Exponential backoff and circuit breaker patterns
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- **Timeout Management**: Proper timeout configuration and handling
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- **Error Classification**: Distinguishing between retryable and non-retryable errors
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- **Fallback Strategies**: Graceful degradation patterns
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### Data Processing
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- **Pagination Handling**: Efficient large dataset processing
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- **Batch Operations**: Bulk data synchronization patterns
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- **Data Transformation**: JSON mapping and field transformation
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- **Validation & Sanitization**: Input/output data validation
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### Performance Optimization
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- **Connection Pooling**: Reusable connection management
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- **Caching Strategies**: Response caching and invalidation
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- **Asynchronous Processing**: Non-blocking API calls
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- **Rate Limiting**: API quota management and throttling
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## Architecture Patterns
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### Outbound Integrations
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- RESTMessageV2 optimization
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- Scheduled job integration patterns
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- Event-driven API calls
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- Real-time data synchronization
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### Inbound Integrations
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- Scripted REST API best practices
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- Webhook handling patterns
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- API gateway integration
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- Authentication middleware
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## Snippets Overview
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1. **oauth2_integration.js** - Complete OAuth 2.0 implementation with token management
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2. **retry_mechanism.js** - Advanced retry, circuit breaker, and error handling patterns
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3. **rate_limiting.js** - Multiple rate limiting strategies (token bucket, sliding window, fixed window)
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4. **response_caching.js** - Intelligent API response caching with compression and encryption
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5. **batch_synchronization.js** - Efficient bulk data processing (coming soon)
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6. **data_transformation.js** - JSON mapping and validation utilities (coming soon)
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7. **async_processing.js** - Asynchronous API call patterns (coming soon)
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## Pattern Details
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### 🔐 OAuth 2.0 Integration (`oauth2_integration.js`)
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- Authorization code flow with PKCE support
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- Automatic token refresh and secure storage
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- State parameter validation for CSRF protection
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- Authenticated API request wrapper
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### 🔄 Retry Mechanism (`retry_mechanism.js`)
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- Exponential backoff with configurable jitter
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- Circuit breaker pattern implementation
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- Parallel API calls with retry support
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- Intelligent error classification
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### ⏱️ Rate Limiting (`rate_limiting.js`)
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- Token bucket algorithm for burst allowance
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- Sliding window for strict rate enforcement
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- Fixed window for traditional limiting
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- Per-user and per-endpoint controls
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### 💾 Response Caching (`response_caching.js`)
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- LRU, LFU, and TTL eviction policies
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- Optional compression and encryption
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- Tag-based invalidation strategies
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- Performance statistics and monitoring
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## Best Practices
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- Always implement proper error handling and logging
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- Use authentication tokens securely with proper rotation
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- Implement rate limiting to respect API quotas
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- Design for idempotency to handle duplicate operations
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- Use pagination for large datasets
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- Implement circuit breakers for external service failures
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- Cache responses when appropriate to reduce API calls
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- Validate and sanitize all input/output data
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## Security Considerations
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- Store credentials securely using ServiceNow's credential store
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- Use HTTPS for all API communications
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- Implement proper input validation to prevent injection attacks
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- Log security events for monitoring and compliance
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- Rotate authentication tokens regularly
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- Use least privilege principle for API access
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## Monitoring & Observability
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- Implement comprehensive logging for troubleshooting
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- Track API performance metrics and SLA compliance
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- Monitor error rates and implement alerting
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- Use correlation IDs for distributed tracing
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- Implement health checks for external systems
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## Related Documentation
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- [ServiceNow REST API Documentation](https://developer.servicenow.com/dev.do#!/reference/api/tokyo/rest/)
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- [RESTMessageV2 API Reference](https://developer.servicenow.com/dev.do#!/reference/api/tokyo/server/no-namespace/c_RESTMessageV2API)

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