Stateless Event Processor
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A Stateless Event Processor is an event processor that processes events independently without maintaining persistent state between processing invocations.
- Context:
- It can typically execute Stateless Event Processing Logic without relying on previous invocation state.
- It can typically maintain Request-Scoped State only during a single event processing cycle.
- It can typically guarantee Processing Idempotency through stateless operation principles.
- It can typically ensure Retry Safety because of its state independence between processing attempts.
- It can typically support Horizontal Scaling due to its stateless nature.
- It can typically achieve Predictable Behavior through state isolation across event processor instances.
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- It can often implement Immutable Processing Patterns by treating input events as immutable data structures.
- It can often utilize External State Stores when temporary state is required for complex processing.
- It can often support Concurrent Event Processing without state synchronization concerns.
- It can often provide Deterministic Output for identical input events regardless of processing history.
- It can often leverage Functional Programming Techniques for pure transformation of event data.
- It can often simplify Deployment Processes through instance interchangeability.
- It can often improve System Resilience through stateless recovery capability.
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- It can range from being a Simple Stateless Event Processor to being a Complex Stateless Event Processor, depending on its stateless event processor implementation complexity.
- It can range from being a Pure Stateless Event Processor to being a Hybrid Stateless Event Processor, depending on its stateless event processor external state interaction.
- It can range from being a Single-Purpose Stateless Event Processor to being a Multi-Purpose Stateless Event Processor, depending on its stateless event processor functional scope.
- It can range from being a Synchronous Stateless Event Processor to being an Asynchronous Stateless Event Processor, depending on its stateless event processor execution model.
- It can range from being a Local Stateless Event Processor to being a Distributed Stateless Event Processor, depending on its stateless event processor deployment topology.
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- It can integrate with Message Queue Systems for stateless event consumption.
- It can connect to External Resources through connection pools with proper lifecycle management.
- It can utilize Configuration Systems for runtime parameters without affecting stateless behavior.
- It can work with Distributed Caching Systems for performance optimization without state dependency.
- It can interact with Transaction Coordinator for distributed transaction participation while maintaining stateless property.
- It can leverage Monitoring Systems for instance-agnostic observability.
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- Examples:
- Stateless Event Processor Implementations, such as:
- Cloud-Based Stateless Event Processors, such as:
- Serverless Function Stateless Event Processor processing cloud events in function-as-a-service platforms.
- Container-Based Stateless Event Processor handling message queue events in kubernetes environments.
- API Worker Stateless Event Processor processing webhook notifications without state persistence.
- Cloud Event Router Stateless Event Processor routing events based on event attributes without routing state.
- Application-Level Stateless Event Processors, such as:
- Request Handler Stateless Event Processor processing HTTP requests with request-scoped state only.
- Message Consumer Stateless Event Processor processing queue messages independently.
- Event Subscriber Stateless Event Processor handling event bus notifications in isolation.
- Stream Transformation Stateless Event Processor performing data transformations on event streams.
- Integration Stateless Event Processors, such as:
- ETL Pipeline Stateless Event Processor transforming data events between systems.
- API Gateway Stateless Event Processor routing API request events to backend services.
- Event Bridge Stateless Event Processor connecting event sources with event consumers.
- Cloud-Based Stateless Event Processors, such as:
- Stateless Event Processor Patterns, such as:
- Idempotent Stateless Event Processor ensuring processing result consistency across multiple invocations.
- Functional Stateless Event Processor implementing pure function principles for event transformation.
- Side-Effect Free Stateless Event Processor performing stateless computation without external system modification.
- Immutable Event Stateless Event Processor treating events as immutable data structures.
- Circuit Breaker Stateless Event Processor implementing circuit breaker pattern without shared circuit state.
- Stateless Event Processor Architectures, such as:
- Microservice Stateless Event Processor implementing microservice architecture principles.
- Reactive Stateless Event Processor following reactive system principles for event processing.
- Sidecar Stateless Event Processor operating alongside main application without shared state.
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- Stateless Event Processor Implementations, such as:
- Counter-Examples:
- Stateful Event Processor, which maintains processing state across multiple invocations.
- Session-Based Request Handler, which preserves client session state between requests.
- Workflow Engine, which tracks process state throughout a multi-step workflow.
- Event Aggregator, which accumulates events over time to maintain aggregation state.
- Event Stream Processor with Windowing, which maintains time window state for event analysis.
- Stateful Async Event Handler, which preserves handler state between asynchronous operations.
- See: Event Processor, Stateless Service, Functional Programming, Idempotent Operation, Service Component, Async Event Handler, Connection Pool Lifecycle.