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Scatter-Gather
Distributes requests to multiple services and collects responses
π― 30-Second Overview
Pattern: Broadcast requests to multiple services, then aggregate responses
Why: Maximizes information coverage, improves resilience, leverages diverse capabilities
Key Insight: Request β [Service1, Service2, ServiceN] β Gather β Aggregate β Result
β‘ Quick Implementation
π Do's & Don'ts
π¦ When to Use
Use When
- β’ Multiple independent information sources
- β’ Need comprehensive coverage
- β’ Services have different specializations
- β’ Fault tolerance is critical
Avoid When
- β’ Services have dependencies
- β’ Single service is sufficient
- β’ Real-time latency requirements
- β’ Resource-constrained environments
π Key Metrics
π‘ Top Use Cases
Pattern Relationships
Discover how Scatter-Gather relates to other patterns
Prerequisites, next steps, and learning progression
Prerequisites
(1)Async-Await
lowparallelizationFundamental concurrent programming for parallel service calls
π‘ Essential for managing concurrent service requests effectively
Next Steps
(3)Map-Reduce
mediumparallelizationStructured parallel processing with explicit chunking and aggregation
π‘ Natural evolution when you need more structured parallel data processing
Fork-Join
mediumparallelizationRecursive parallel decomposition with dynamic load balancing
π‘ Advanced parallelization for complex recursive processing tasks
Stateful Graph Workflows
very-highplanning executionComplex service orchestration with state management
π‘ Enterprise-grade service coordination with sophisticated orchestration
Alternatives
(2)Map-Reduce
mediumparallelizationMore structured approach with explicit chunking
π‘ Better when you need systematic data partitioning and processing
Sequential Chaining
lowprompt chainingLinear service calls when parallel execution isn't needed
π‘ Simpler approach when services must be called in specific order
Industry Applications
Financial Services
Multi-provider data aggregation for comprehensive financial analysis
Content & Knowledge
Multi-source information gathering and synthesis
Software Development
Multi-service integration for comprehensive system monitoring
References & Further Reading
Deepen your understanding with these curated resources
Contribute to this collection
Know a great resource? Submit a pull request to add it.
Scatter-Gather
Distributes requests to multiple services and collects responses
π― 30-Second Overview
Pattern: Broadcast requests to multiple services, then aggregate responses
Why: Maximizes information coverage, improves resilience, leverages diverse capabilities
Key Insight: Request β [Service1, Service2, ServiceN] β Gather β Aggregate β Result
β‘ Quick Implementation
π Do's & Don'ts
π¦ When to Use
Use When
- β’ Multiple independent information sources
- β’ Need comprehensive coverage
- β’ Services have different specializations
- β’ Fault tolerance is critical
Avoid When
- β’ Services have dependencies
- β’ Single service is sufficient
- β’ Real-time latency requirements
- β’ Resource-constrained environments
π Key Metrics
π‘ Top Use Cases
Pattern Relationships
Discover how Scatter-Gather relates to other patterns
Prerequisites, next steps, and learning progression
Prerequisites
(1)Async-Await
lowparallelizationFundamental concurrent programming for parallel service calls
π‘ Essential for managing concurrent service requests effectively
Next Steps
(3)Map-Reduce
mediumparallelizationStructured parallel processing with explicit chunking and aggregation
π‘ Natural evolution when you need more structured parallel data processing
Fork-Join
mediumparallelizationRecursive parallel decomposition with dynamic load balancing
π‘ Advanced parallelization for complex recursive processing tasks
Stateful Graph Workflows
very-highplanning executionComplex service orchestration with state management
π‘ Enterprise-grade service coordination with sophisticated orchestration
Alternatives
(2)Map-Reduce
mediumparallelizationMore structured approach with explicit chunking
π‘ Better when you need systematic data partitioning and processing
Sequential Chaining
lowprompt chainingLinear service calls when parallel execution isn't needed
π‘ Simpler approach when services must be called in specific order
Industry Applications
Financial Services
Multi-provider data aggregation for comprehensive financial analysis
Content & Knowledge
Multi-source information gathering and synthesis
Software Development
Multi-service integration for comprehensive system monitoring
References & Further Reading
Deepen your understanding with these curated resources
Contribute to this collection
Know a great resource? Submit a pull request to add it.