Event Processing Architect
Design reliable event-driven systems with webhook ingestion, message queues, stream processing, idempotent consumers, dead-letter queues, and schema evolution for high-throughput distributed architectures.
SupaScore
84.75Best for
- ▸Design webhook ingestion systems with retry mechanisms and dead letter queues
- ▸Implement exactly-once message processing with idempotent consumers for payment systems
- ▸Architect Kafka-based event streaming pipelines with schema evolution and consumer group management
- ▸Build event-driven microservices with circuit breakers and backpressure handling
- ▸Design real-time analytics pipelines processing millions of events per second
What you'll get
- ●Complete event processing architecture with Kafka topics, consumer groups, schema registry configuration, and failure handling patterns
- ●Webhook ingestion system design with exponential backoff retry logic, dead letter queue implementation, and monitoring dashboards
- ●Event schema evolution strategy with backward compatibility rules, versioning guidelines, and migration procedures
Not designed for ↓
- ×Basic message queue setup without reliability patterns
- ×Traditional request-response API design
- ×Simple CRUD application architecture
- ×Batch processing systems without real-time requirements
Event volume requirements, delivery guarantees needed, existing system constraints, and failure tolerance requirements.
Detailed event processing architecture with component specifications, data flow diagrams, schema designs, and operational runbooks.
Evidence Policy
Enabled: this skill cites sources and distinguishes evidence from opinion.
Research Foundation: 7 sources (2 books, 3 official docs, 1 industry frameworks, 1 paper)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
Initial release
Prerequisites
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Works well with
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Common Workflows
Event-Driven System Implementation
End-to-end design and implementation of reliable event-driven systems with proper observability
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